SQL Jobs in Jordan

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for materials scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Materials Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science or related fields.</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent.</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li> <li>Strong written English (C1+).</li> <li>Professional certifications (e.g., CMME, SAS certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science or related fields.</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent.</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li> <li>Strong written English (C1+).</li> <li>Professional certifications (e.g., CMME, SAS certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Join BlackStone IT as a data engineering lead, leading a talented team of data professionals in our mission to harness the power of data for impactful decision-making. In this role, you will oversee the design, development, and enhancement of our data infrastructure, ensuring it aligns with the company's strategic goals. You will also collaborate closely with various departments to identify data needs and implement effective data management solutions.</p> <p>As a data engineering manager, you will be instrumental in driving best practices in data engineering and fostering a culture of innovation within your team.</p> <h4>Responsibilities</h4> <ul> <li>Manage and lead the data engineering team, providing guidance, mentorship, and support in their professional growth</li> <li>Design and implement scalable data solutions to meet business needs</li> <li>Collaborate with cross-functional teams to identify and prioritize data initiatives</li> <li>Oversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibility</li> <li>Implement policies and procedures for data governance, security, and compliance</li> <li>Monitor and optimize data performance, reliability, and efficiency</li> <li>Stay abreast of industry trends and advancements in data engineering methodologies</li> <li>Facilitate clear communication of data strategy and project updates to stakeholders</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's or master's degree in computer science, data science, or a related field</li> <li>At least 7 years of experience in data engineering, with a minimum of 3 years in a managerial role</li> <li>Strong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databases</li> <li>Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark)</li> <li>Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously</li> <li>Strong leadership skills with demonstrated experience in building and mentoring high-performing teams</li> <li>Excellent analytical and problem-solving abilities</li> <li>Strong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders</li> <li>Knowledge of data governance and compliance standards</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Join BlackStone IT as a data engineering lead, leading a talented team of data professionals in our mission to harness the power of data for impactful decision-making. In this role, you will oversee the design, development, and enhancement of our data infrastructure, ensuring it aligns with the company's strategic goals. You will also collaborate closely with various departments to identify data needs and implement effective data management solutions.</p> <p>As a data engineering manager, you will be instrumental in driving best practices in data engineering and fostering a culture of innovation within your team.</p> <h4>Responsibilities</h4> <ul> <li>Manage and lead the data engineering team, providing guidance, mentorship, and support in their professional growth</li> <li>Design and implement scalable data solutions to meet business needs</li> <li>Collaborate with cross-functional teams to identify and prioritize data initiatives</li> <li>Oversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibility</li> <li>Implement policies and procedures for data governance, security, and compliance</li> <li>Monitor and optimize data performance, reliability, and efficiency</li> <li>Stay abreast of industry trends and advancements in data engineering methodologies</li> <li>Facilitate clear communication of data strategy and project updates to stakeholders</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's or master's degree in computer science, data science, or a related field</li> <li>At least 7 years of experience in data engineering, with a minimum of 3 years in a managerial role</li> <li>Strong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databases</li> <li>Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark)</li> <li>Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously</li> <li>Strong leadership skills with demonstrated experience in building and mentoring high-performing teams</li> <li>Excellent analytical and problem-solving abilities</li> <li>Strong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders</li> <li>Knowledge of data governance and compliance standards</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Join BlackStone IT as a data engineering lead, leading a talented team of data professionals in our mission to harness the power of data for impactful decision-making. In this role, you will oversee the design, development, and enhancement of our data infrastructure, ensuring it aligns with the company's strategic goals. You will also collaborate closely with various departments to identify data needs and implement effective data management solutions.</p> <p>As a data engineering manager, you will be instrumental in driving best practices in data engineering and fostering a culture of innovation within your team.</p> <h4>Responsibilities</h4> <ul> <li>Manage and lead the data engineering team, providing guidance, mentorship, and support in their professional growth</li> <li>Design and implement scalable data solutions to meet business needs</li> <li>Collaborate with cross-functional teams to identify and prioritize data initiatives</li> <li>Oversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibility</li> <li>Implement policies and procedures for data governance, security, and compliance</li> <li>Monitor and optimize data performance, reliability, and efficiency</li> <li>Stay abreast of industry trends and advancements in data engineering methodologies</li> <li>Facilitate clear communication of data strategy and project updates to stakeholders</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's or master's degree in computer science, data science, or a related field</li> <li>At least 7 years of experience in data engineering, with a minimum of 3 years in a managerial role</li> <li>Strong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databases</li> <li>Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark)</li> <li>Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously</li> <li>Strong leadership skills with demonstrated experience in building and mentoring high-performing teams</li> <li>Excellent analytical and problem-solving abilities</li> <li>Strong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders</li> <li>Knowledge of data governance and compliance standards</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Join BlackStone IT as a data engineering lead, leading a talented team of data professionals in our mission to harness the power of data for impactful decision-making. In this role, you will oversee the design, development, and enhancement of our data infrastructure, ensuring it aligns with the company's strategic goals. You will also collaborate closely with various departments to identify data needs and implement effective data management solutions.</p> <p>As a data engineering manager, you will be instrumental in driving best practices in data engineering and fostering a culture of innovation within your team.</p> <h4>Responsibilities</h4> <ul> <li>Manage and lead the data engineering team, providing guidance, mentorship, and support in their professional growth</li> <li>Design and implement scalable data solutions to meet business needs</li> <li>Collaborate with cross-functional teams to identify and prioritize data initiatives</li> <li>Oversee the development and maintenance of data pipelines, ensuring optimal data quality and accessibility</li> <li>Implement policies and procedures for data governance, security, and compliance</li> <li>Monitor and optimize data performance, reliability, and efficiency</li> <li>Stay abreast of industry trends and advancements in data engineering methodologies</li> <li>Facilitate clear communication of data strategy and project updates to stakeholders</li> </ul> <h4>Requirements</h4> <ul> <li>Bachelor's or master's degree in computer science, data science, or a related field</li> <li>At least 7 years of experience in data engineering, with a minimum of 3 years in a managerial role</li> <li>Strong proficiency in data engineering tools and technologies, including ETL frameworks, SQL, and NoSQL databases</li> <li>Experience with cloud platforms (AWS, Azure, or GCP) and big data technologies (Hadoop, Spark)</li> <li>Excellent project management skills, with the ability to prioritize and manage multiple projects simultaneously</li> <li>Strong leadership skills with demonstrated experience in building and mentoring high-performing teams</li> <li>Excellent analytical and problem-solving abilities</li> <li>Strong communication skills, with the ability to convey complex data concepts to technical and non-technical stakeholders</li> <li>Knowledge of data governance and compliance standards</li> </ul></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science or related fields.</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent.</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li> <li>Strong written English (C1+).</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Civil Engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original computational engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Civil Engineering or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $37 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for material scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Material Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design original material engineering problems that simulate real engineering workflows;</li> <li>Create problems requiring Python programming to solve engineering calculations and simulations;</li> <li>Ensure problems are computationally intensive and require numerical methods or iterative solutions;</li> <li>Develop problems involving system design, optimization, and analysis;</li> <li>Base problems on real research challenges or practical applications from engineering practice;</li> <li>Verify solutions using Python with standard engineering libraries;</li> <li>Document problem statements clearly and provide verified correct answers.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for material scientists and engineers with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in Material Science or related fields;</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, Numpy, Pandas, SciPy, domain-specific libraries, Stata or knowledge of any programming language can be equivalent;</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable;</li> <li>Understanding of practical engineering constraints and approximations;</li> <li>Strong written English (C1+).</li> </ul> <h4>How it works</h4> <p>Apply? Pass qualification(s)? Join a project? Complete tasks? Get paid.</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $35 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science or related fields.</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent.</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li> <li>Strong written English (C1+).</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<p><h4>Description</h4> <p>Please submit your CV in English and indicate your level of English proficiency.</p> <p>Mindrift connects specialists with project-based AI opportunities for leading tech companies, focused on testing, evaluating, and improving AI systems. Participation is project-based, not permanent employment.</p> <h4>What this opportunity involves</h4> <p>While each project involves unique tasks, contributors may:</p> <ul> <li>Design rigorous computer science problems reflecting professional practice;</li> <li>Evaluate AI solutions for correctness, assumptions, and constraints;</li> <li>Validate calculations or simulations using Python (NumPy, Pandas, SciPy);</li> <li>Improve AI reasoning to align with industry-standard logic;</li> <li>Apply structured scoring criteria to multi-step problems;</li> <li>Collaborate with a global community of PhDs to ensure the highest scientific integrity.</li> </ul> <h4>What we look for</h4> <p>This opportunity is a good fit for computer science experts with experience in Python open to part-time, non-permanent projects. Ideally, contributors will have:</p> <ul> <li>Degree in computer science or related fields.</li> <li>Python proficiency for numerical validation. MATLAB, R, C, SQL, NumPy, Pandas, SciPy, domain-specific libraries, Stata, or knowledge of any programming language can be equivalent.</li> <li>2+ years of professional experience: applied, research, or teaching experience is applicable.</li> <li>Strong written English (C1+).</li> <li>Professional certifications (e.g., CMME, SAS Certifications, CAP) and experience in international or applied projects are an advantage.</li> </ul> <h4>How it works</h4> <p>Apply ? Pass qualification(s) ? Join a project ? Complete tasks ? Get paid</p> <h4>Project time expectations</h4> <p>For this project, tasks are estimated to require around 10–20 hours per week during active phases, based on project requirements. This is an estimate, not a guaranteed workload, and applies only while the project is active.</p> <h4>Compensation</h4> <p>On this project, contributors can earn up to $40 per hour equivalent, depending on their level and pace of contribution.</p> <p>Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements.</p></p><p></p>

<section><p class="heading jdMain">Job Description</p><p class="heading">Roles &amp; Responsibilities</p><div class="paragraph"><p>Job Description:-</p> <p>1- Ongoing maintenance and Support for the ATM Switch and Card Management Systems.</p> <p>2- Participate in related projects and going through the SDLC phases to create and implement new ATM and Card services.</p> <p>3- Working closely with the Business and Operations departments for requirements gathering, gap analysis, and BRD reviews.</p> <p>6- Working closely with ATM Switch and CMS vendors to deploy, implement, and test new services.</p> <p>4- Performing SIT and ensuring received deliveries from vendors.</p> <p>5- Supporting QC and QA teams to perform test plans, and simulate test cases.</p> <p>8- Testing the Integration of ATM Switch and CMS interfaces and APIs with internal and external parties including local and International schemes.</p> <p>7- Monitor payment systems and participate in release management activities.</p> <p>9- Troubleshoot and investigate production issues with internal teams and follow up with vendors for closure .</p> <p>10- Technical Support for ATM Machines and surrounding systems, Aptra Vision, Proview .</p> <p>11- Provide 1st and 2nd level technical support for other colleagues and departments.</p> <p>12- Participate in documentation activities, training, and handover for operations departments </p></div></section><section><p class="heading">Desired Candidate Profile</p><p class="paragraph"></p><p>1- Bachelor s degree in Computer Science, Computer engineering, CIS, or any related field.</p> <p>2- Fresh graduates or one year of experience in the IT field .</p> <p>2- Good Knowledge in Oracle SQL, PLSQL and Database design .</p> <p>3- Very good Programming skills, and Programming languages like: C, C++, JAVA, JAVA Script, C#, HTML .</p> <p>4- Good Knowledge in Web services, Web servers, API deployment and testing like: REST, SOAP .</p> <p>5- Basic Knowledge in OS like Windows, Unix, and Linux .</p> <p>6- Good communication and analytical skills.</p> <p>7- Preferred sound knowledge about Fintech, ATM Switch, Routing, Card Management, ATM Machines .</p> <p>8- Work under pressure .</p> <p>9- Good command in English.</p><p></p></section>

<p><h4>Company Overview</h4> <p>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries. We help organizations implement and evolve technology solutions that are secure, reliable, and built to support long-term business needs. Within our Information Technology and Services practice, we work closely with customers to deliver high-quality outcomes across complex enterprise environments.</p> <br> <h4>Role Summary</h4> <p>As a Delivery Manager, you will play a central role in driving the successful delivery of Oracle APEX-based insurance and enterprise applications. This role is focused on delivery ownership, coordination, and accountability, ensuring projects move forward with the right structure, visibility, and operational discipline. You will work across customer, product, development, QA, and implementation teams to keep delivery on track, maintain quality standards, and support strong client relationships throughout the lifecycle.</p> <br> <h4>Responsibilities</h4> <li>Oversee and manage the end-to-end software delivery lifecycle, ensuring adherence to SLAs and client expectations.</li> <li>Lead, mentor, and develop delivery team leads and developer teams.</li> <li>Coordinate with cross-functional teams to deliver business outcomes.</li> <li>Identify process improvements and implement best practices.</li> <li>Manage budgets and resource allocation tied to delivery schedules.</li> <li>Build strong client relationships and provide status reporting, dashboards, and timeline updates.</li> <li>Manage delivery execution for Oracle APEX implementation, customization, enhancement, integration, and support projects.</li> <li>Coordinate scope, schedule, resources, dependencies, risks, and priorities across customers, product, development, QA, and implementation teams.</li> <li>Ensure deliverables are planned, tracked, reviewed, and delivered to agreed quality standards and contractual commitments.</li> <li>Monitor progress, identify blockers, manage escalations, and resolve risks and issues.</li> <li>Facilitate alignment across requirements, design, implementation readiness, testing, deployment, and post-go-live support.</li> <li>Review project status, RAID logs, resource utilization, change requests, acceptance criteria, and delivery KPIs.</li> <li>Support customer communication, steering meetings, and formal handovers.</li> <li>Ensure lessons learned, documentation, release notes, deployment plans, and support transition materials are prepared.</li> <li>Promote delivery governance, continuous improvement, and consistent project execution practices.</li> <br> <h4>Requirements</h4> <h4>Qualifications</h4> <p><strong>Educational qualifications</strong></p> <li>Bachelor’s degree in computer science, software engineering, information systems, computer engineering, or a related technical field.</li> <li>Project management education or equivalent professional training is a must.</li> <br> <p><strong>Experience needed</strong></p> <li>10-12 years of experience in software delivery management, implementation management, project management, or customer-facing technology delivery.</li> <li>Previous experience in managing multiple teams across the SDLC in Waterfall and Agile environments.</li> <li>Previous experience in the insurance field is a plus.</li> <br> <p><strong>Trainings / Certificates</strong></p> <li>PMP, PRINCE2, Agile/Scrum, or equivalent certification is preferred.</li> <li>ITIL Foundation certification is preferred.</li> <li>Training in customer communication, risk management, UAT, and release governance is preferred.</li> <br> <p><strong>Technical Qualifications</strong></p> <li>Knowledge of Oracle APEX product delivery lifecycle and implementation concepts, and Oracle Forms and Reports delivery lifecycle and implementation concepts.</li> <li>Experience with project planning, scope management, risk management, issue tracking, and stakeholder communication.</li> <li>Working knowledge of SQL/PLSQL, system integrations, application testing, deployment processes, and production support.</li> <li>Knowledge of UAT, go-live readiness, cutover planning, and handover practices.</li> <li>Experience with customer-facing communication, reporting, governance, and escalation management.</li> <li>Eligible to work in Jordan.</li> <br> <h4>Benefits</h4> <li>Class A health insurance</li></p><p></p>

<p><h4>Company Overview</h4> <p>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries. We help organizations implement and evolve technology solutions that are secure, reliable, and built to support long-term business needs. Within our Information Technology and Services practice, we work closely with customers to deliver high-quality outcomes across complex enterprise environments.</p> <br> <h4>Role Summary</h4> <p>As a Delivery Manager, you will play a central role in driving the successful delivery of Oracle APEX-based insurance and enterprise applications. This role is focused on delivery ownership, coordination, and accountability, ensuring projects move forward with the right structure, visibility, and operational discipline. You will work across customer, product, development, QA, and implementation teams to keep delivery on track, maintain quality standards, and support strong client relationships throughout the lifecycle.</p> <br> <h4>Responsibilities</h4> <li>Oversee and manage the end-to-end software delivery lifecycle, ensuring adherence to SLAs and client expectations.</li> <li>Lead, mentor, and develop delivery team leads and developer teams.</li> <li>Coordinate with cross-functional teams to deliver business outcomes.</li> <li>Identify process improvements and implement best practices.</li> <li>Manage budgets and resource allocation tied to delivery schedules.</li> <li>Build strong client relationships and provide status reporting, dashboards, and timeline updates.</li> <li>Manage delivery execution for Oracle APEX implementation, customization, enhancement, integration, and support projects.</li> <li>Coordinate scope, schedule, resources, dependencies, risks, and priorities across customers, product, development, QA, and implementation teams.</li> <li>Ensure deliverables are planned, tracked, reviewed, and delivered to agreed quality standards and contractual commitments.</li> <li>Monitor progress, identify blockers, manage escalations, and resolve risks and issues.</li> <li>Facilitate alignment across requirements, design, implementation readiness, testing, deployment, and post-go-live support.</li> <li>Review project status, RAID logs, resource utilization, change requests, acceptance criteria, and delivery KPIs.</li> <li>Support customer communication, steering meetings, and formal handovers.</li> <li>Ensure lessons learned, documentation, release notes, deployment plans, and support transition materials are prepared.</li> <li>Promote delivery governance, continuous improvement, and consistent project execution practices.</li> <br> <h4>Requirements</h4> <h4>Qualifications</h4> <p><strong>Educational qualifications</strong></p> <li>Bachelor’s degree in computer science, software engineering, information systems, computer engineering, or a related technical field.</li> <li>Project management education or equivalent professional training is a must.</li> <br> <p><strong>Experience needed</strong></p> <li>10-12 years of experience in software delivery management, implementation management, project management, or customer-facing technology delivery.</li> <li>Previous experience in managing multiple teams across the SDLC in Waterfall and Agile environments.</li> <li>Previous experience in the insurance field is a plus.</li> <br> <p><strong>Trainings / Certificates</strong></p> <li>PMP, PRINCE2, Agile/Scrum, or equivalent certification is preferred.</li> <li>ITIL Foundation certification is preferred.</li> <li>Training in customer communication, risk management, UAT, and release governance is preferred.</li> <br> <p><strong>Technical Qualifications</strong></p> <li>Knowledge of Oracle APEX product delivery lifecycle and implementation concepts, and Oracle Forms and Reports delivery lifecycle and implementation concepts.</li> <li>Experience with project planning, scope management, risk management, issue tracking, and stakeholder communication.</li> <li>Working knowledge of SQL/PLSQL, system integrations, application testing, deployment processes, and production support.</li> <li>Knowledge of UAT, go-live readiness, cutover planning, and handover practices.</li> <li>Experience with customer-facing communication, reporting, governance, and escalation management.</li> <li>Eligible to work in Jordan.</li> <br> <h4>Benefits</h4> <li>Class A health insurance</li></p><p></p>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Optimiza is a regional systems integration and digital transformation company delivering consulting, business, and technology solutions across multiple industries.<br> We help organizations implement and evolve technology solutions that are secure, reliable, and built to support long-term business needs.<br> Within our Information Technology and Services practice, we work closely with customers to deliver high-quality outcomes across complex enterprise environments.<br> As a Delivery Manager, you will play a central role in driving the successful delivery of Oracle APEX-based insurance and enterprise applications.<br> This role is focused on delivery ownership, coordination, and accountability, ensuring projects move forward with the right structure, visibility, and operational discipline.<br> You will work across customer, product, development, QA, and implementation teams to keep delivery on track, maintain quality standards, and support strong client relationships throughout the lifecycle.<br> Responsibilities Oversee and manage the end-to-end software delivery lifecycle, ensuring adherence to SLAs and client expectations.<br> Lead, mentor, and develop delivery team leads and developer teams.<br> Coordinate with cross-functional teams to deliver business outcomes.<br> Identify process improvements and implement best practices.<br> Manage budgets and resource allocation tied to delivery schedules.<br> Build strong client relationships and provide status reporting, dashboards, and timeline updates.<br> Manage delivery execution for Oracle APEX implementation, customization, enhancement, integration, and support projects.<br> Coordinate scope, schedule, resources, dependencies, risks, and priorities across customers, product, development, QA, and implementation teams.<br> Ensure deliverables are planned, tracked, reviewed, and delivered to agreed quality standards and contractual commitments.<br> Monitor progress, identify blockers, manage escalations, and resolve risks and issues.<br> Facilitate alignment across requirements, design, implementation readiness, testing, deployment, and post-go-live support.<br> Review project status, RAID logs, resource utilization, change requests, acceptance criteria, and delivery KPIs.<br> Support customer communication, steering meetings, and formal handovers.<br> Ensure lessons learned, documentation, release notes, deployment plans, and support transition materials are prepared.<br> Promote delivery governance, continuous improvement, and consistent project execution practices.<br> Class A Health Insurance QualificationsEducational qualifications Bachelor’s degree in computer science, Software Engineering, Information Systems, Computer Engineering, or a related technical field.<br> Project management education or equivalent professional training is a must.<br> Experience needed 10-12 years of experience in software delivery management, implementation management, project management, or customer-facing technology delivery.<br> Previous experience in managing multiple teams across the SDLC in Waterfall and Agile environments.<br> Previous experience in the insurance field is a plus.<br> Trainings/ Certificates PMP, PRINCE2, Agile/Scrum, or equivalent certification is preferred.<br> ITIL Foundation certification is preferred.<br> Training in customer communication, risk management, UAT, and release governance is preferred.<br> Technical Qualifications Knowledge of Oracle APEX product delivery lifecycle and implementation concepts, and Oracle Forms and Reports delivery lifecycle and implementation concepts.<br> Experience with project planning, scope management, risk management, issue tracking, and stakeholder communication.<br> Working knowledge of SQL/PLSQL, system integrations, application testing, deployment processes, and production support.<br> Knowledge of UAT, go-live readiness, cutover planning, and handover practices.<br> Experience with customer-facing communication, reporting, governance, and escalation management.<br> Eligible to work in Jordan.<br></span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>At Syarah , we are building the future of automotive e-commerce in the region, and data sits at the core of every decision we make.<br> We are looking for a Data Lead to own and evolve our entire data ecosystem across engineering, analytics, data science, and AI.<br> This is a hands-on leadership role where you will architect scalable data systems, lead a high-performing team, and act as the analytical voice of the business —proactively identifying insights, risks, and opportunities that drive growth across our e-commerce and payments platforms.<br> You will design and govern Syarah’s end-to-end data platform on GCP , unify data from product, payments, ERP, and operations, and ensure all business decisions are powered by accurate, real-time, and trusted data.<br> You will also build AI-powered internal tools, lead data DevOps practices, and transform complex data into clear executive-level insights that shape strategy.<br> Key Responsibilities Lead and mentor a cross-functional data team (engineering, analytics, data science) Architect and manage Syarah’s data platform on GCP (BigQuery, Cloud Run, Dataform) Design scalable ETL pipelines and unified star schema data models Integrate ERPNext and other operational systems into centralized data architecture Build and deploy containerized services using Docker on Cloud Run Develop and maintain Flask REST APIs for secure data sharing Own data DevOps , including CI/CD pipelines and infrastructure management Orchestrate workflows using Apache Airflow Integrate and govern Adjust (mobile attribution) and Mixpanel (product analytics) into a unified data lake Ensure reliable event tracking, identity resolution, and funnel analytics across platforms Build unified product, payments, and financial data models enabling revenue reconciliation and performance tracking Deliver proactive insights: identify trends, anomalies, and risks before they are requested Translate data into executive-level business decisions and recommendations Define KPI frameworks and build trusted data products for finance, operations, and product teams Ensure data accuracy, reliability, and availability through monitoring, alerts, and SLA standards Develop internal AI tools using LLMs and prompt engineering to improve productivity and automation 7+ years of experience in data engineering, analytics, or data platform roles Proven experience in a data leadership or senior technical role Strong expertise in GCP data stack (BigQuery, Cloud Run, Dataform) Advanced proficiency in Python and SQL Solid experience building and scaling data pipelines and ETL architectures Experience with API development (Flask or similar frameworks) Hands-on experience with Airflow or other workflow orchestration tools Strong knowledge of product analytics and mobile attribution tools (e.<br>g., Mixpanel, Adjust) Experience working with ERP systems (ERPNext or similar) is a plus Strong understanding of data modeling, KPI frameworks, and business intelligence Experience in building or leading data teams Strong business acumen with ability to translate data into actionable insights Experience with CI/CD, Docker, and cloud infrastructure management Exposure to AI/ML tools or LLM-based automation is a strong plus Excellent communication skills and ability to work closely with executive leadership</span> </div>

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span></span><p><strong><span>Location:</span></strong><span> Amman, Jordan</span></p><br> <p><strong><span>Job Type:</span></strong><span> Full-time</span></p><br> <p><strong><span>Hashtag:</span></strong><span> #LI-AA2</span></p><br> <p><strong><span>About Us :</span></strong></p><br> <p><span>For over 45 years, Hikma Pharmaceuticals has been putting better health within reach, every day, by creating high-quality medicines and making them accessible to those who need them. We are helping to shape a healthier world that enriches all our communities, and our global team of 9,500+ empowered employees are central to this mission. </span></p><br> <p><span>As a trusted and reliable partner of over 800 high-quality generics, specialty and branded pharmaceutical products, we are driven to improve access to medicine. Through our 29 manufacturing plants, 3 R&amp;D hubs across the MENA, North America and Europe, our footprint allows us to play a critical role in serving patients.&nbsp; </span></p><br> <p><strong><span>Description:</span></strong></p><br> <p><span>We are looking for a talented <strong>Sr. Specialist. Data Scientist </strong>to join us. At Hikma you’ll be supported by a culture of progress and belonging where people are encouraged to develop, wellbeing is prioritised and our inclusive approach values contributions from all. We’re seeking candidates who embody our values: Innovative, driven to keep learning; Caring, genuinely compassionate in their work; and Collaborative, eager to solve problems together.</span></p><br> <p><span>If you want to be part of a team that cares about impact, this is the place for you.</span></p><br> <p><strong><span>Key Responsibilities:</span></strong></p><br> <ul> <li><span>Develop and deploy machine learning models to enhance financial forecasting, anomaly detection, and predictive analytics.</span></li> <li><span>Work with large datasets from SAP ECC, ERP systems, and external sources, integrating them into Azure Databricks for analytics.</span></li> <li><span>Collaborate with finance, accounting, and business teams to understand challenges and develop data-driven solutions.</span></li> <li><span>Design and optimize data pipelines to enable ML model training, validation, and deployment.</span></li> <li><span>Utilize LLM, NLP, time-series analysis, and deep learning where applicable to extract insights from structured and unstructured data.</span></li> <li><span>Develop interactive dashboards and visualizations to communicate insights to finance and business stakeholders.</span></li> <li><span>Ensure data quality, governance, and compliance while handling sensitive financial data.</span></li> <li><span>Utilize automation tools such as Selenium to streamline data collection and processing workflows</span></li> </ul> <p><strong><span>Qualifications:</span></strong></p><br> <p><span>We are looking for candidates whose experience and skills align closely with the qualifications outlined below:</span></p><br> <ul> <li><span>Minimum: Bachelor’s in Data Science, Computer Science, Statistics, Mathematics, or a related field.</span></li> <li><span>Preferred: Master’s degree in Data Science or a related field.</span></li> <li><span>At least 4-7 years’ experience in data science and machine learning.</span></li> <li><span>Experience in a Finance department is plus.</span></li> </ul> <p><strong><span>Skills:</span></strong></p><br> <ul> <li><span>Strong proficiency in Python (including Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch).</span></li> <li><span>Experience with Databricks and Azure Databricks for large scale data processing and ML model deployment.</span></li> <li><span>Hands-on experience with SQL and working with relational databases.</span></li> <li><span>Knowledge of big data processing frameworks such as PySpark.</span></li> <li><span>Expertise in ETL/ELT processes and working with structured and unstructured datasets.</span></li> <li><span>Experience with data visualization tools such as Power BI, Tableau.</span></li> <li><span>Strong problem-solving, analytical, and critical-thinking skills.</span></li> <li><span>Experience with LLMs and NLP-based solutions for data enrichment and smart automation.</span></li> <li><span>Proficiency in English, both written and verbal, for effective communication with finance and business stakeholders.</span></li> </ul> <p><strong><span>Learn more about Hikma in Jordan </span></strong><strong><span>hikma-jordan-factsheet-aug-2025-en.pdf</span></strong></p><br> </div>