وظائف Pixaera

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>Who are we?<br> We are a team of driven individuals who strongly believe in the positive impact gaming and AI will have on the learning world.<br> Today, we’re helping enterprise businesses transition from video to gamified learning experiences that far outperform their traditional counterparts.<br> If you strive to work in a creative and high-output environment, read on.<br> Who are we looking for?<br> A senior data engineer to own Pixaera's data end to end: the pipelines that bring data in, the warehouse and transformations that shape it, and the customer-facing dashboards and insights we build on top.<br> Our customers judge the value of their training by what they can see, so this role owns that surface directly.<br> Today the stack is Fivetran into Snowflake, transformed with dbt and surfaced through Omni.<br> You will take real ownership of it, fix what is brittle, and turn it into a genuine product surface rather than a side project.<br> You are happy working across the backend to solve data problems at their source, and you can explain a trade-off to a customer success lead as clearly as to an engineer.<br> What you will own Customer-facing dashboards and reporting: the activity, completion and performance views customers rely on, built on the current data model (courses and completions, not legacy sessions) and kept correct as new content ships.<br> The data platform end to end: ingestion (Fivetran), the warehouse and data lake (Snowflake) and the transformation layer (dbt), including the modelling that harmonises sources and versions data properly.<br> Turning raw learning and assessment data into insights that customers and internal teams can act on, and moving us toward live and near-real-time reporting.<br> Reliability and cost: monitored, well-behaved pipelines, sensible incremental versus full-refresh models, and a real handle on data spend.<br> Data products beyond dashboards: APIs, reports and exports, and the content mappings that keep reporting accurate, owned inside the publish pipeline rather than as manual handoffs.<br> The data layer in product design: partnering with backend and frontend engineers so new features integrate with data cleanly from the start, and raising the bar for data practice across engineering.<br> How do we support and benefit our employees: Competitive salary and stock options — everyone shares in what we're building 25 days holiday + public holidays Fully equipped setup from day one (no waiting for laptops) Regular company offsites and team socials A flat, transparent culture with direct access to leadership At Pixaera, we're committed to building a workplace where everyone feels respected, supported, and empowered to thrive.<br> We believe that diverse perspectives fuel creativity and innovation, which is why we celebrate individuality and foster an environment of inclusion and belonging.<br> We're proud to be an equal opportunity employer — discrimination of any kind has no place here.<br> No matter your background, identity, or lived experience, you're welcome at Pixaera.<br> Skills / Experiences Core Significant professional experience as a Data Engineer , senior enough to own a platform and its customer-facing outputs on your own.<br> Proven ability to independently master new concepts and technologies.<br> Strong skills in analysing business processes and modelling data for reporting.<br> Proven ability to communicate complex technical concepts and trade-offs to non-technical audiences.<br> Excellent written and spoken English.<br> Self-motivated, independent and proactive; able to thrive in a fully remote environment.<br> AI-native: fluent with agentic coding tools such as Claude Code on real deliverables, and keen to build AI and agentic steps into data pipelines and tooling.<br> Data tech Strong proficiency in writing Python and SQL.<br> Strong grounding in data structures, algorithms, and system design.<br> Proficiency with data warehousing tools like Snowflake and data transformation tools like dbt.<br> Comfortable modelling and delivering customer-facing dashboards in a BI tool such as Omni , Looker, Metabase or similar.<br> General tech Solid software engineering practices: testing, code review, CI/CD.<br> Experience deploying data solutions to production environments .<br> Experience with performance optimization and cost control in data pipelines.<br> Experience with one or more public clouds (like AWS, Google Cloud, Azure).<br> Nice to Have Experience with Omni specifically, or migrating between BI tools.<br> Backend fluency (Golang, NodeJS, Postgres) to fix data issues at their source.<br> Setting up and prototyping solutions using AWS; Kubernetes.<br> Experience working at or with education and/or assessment solutions.<br></span> </div>