Senior Data Engineer

At Pixaera, we’re a passionate team of builders who are dedicated to delivering solutions that empower people. Today, we’re leveraging Ai and gamification to build a vertical platform that is centered around improving the safety readiness of frontline workers in any high risk industry. If you are a doer who thrives in a dynamic, mission-focused environment, join us! Who are we looking for? Pixaera is hiring a senior Data Engineer to own and evolve our core data platform — from warehouse design to production pipelines — powering analytics, product intelligence, and personalized learning experiences. You’ll build and operate scalable data systems across a modern stack (Snowflake, DBT, AWS), while partnering closely with backend engineers to ensure data is clean, reliable, and exposed correctly at the source — not patched up along the way. A key focus will be refactoring and strengthening critical data flows to reduce technical debt and improve system integrity. This role is ideal for a senior engineer who combines strong Python/SQL fundamentals with product thinking, and enjoys building robust systems in fast-moving, startup environments. Key responsibilities: Data platform & pipelines Own the data warehouse (currently Snowflake-shaped, modern stack), modelling, and transformation layer (dbt) Refactor and harden the admin API data flows — currently a major source of technical debt Build and maintain production pipelines on AWS — Python + SQL, with proper observability and testing Partner with backend engineers to expose clean, reliable data at source rather than retrofitting downstream Bridge to Product & Engineering Work as a bridge between Engineering and Product to expose the right data for customer outcomes Contribute to backend feature work where data and product cross over (telemetry, instrumentation, data-aware features) Sit inside the engineering team — you are an engineer who specialises in data, not a separate analytics function What this role is NOT Not a dashboard-only role — internal/company dashboards run as scoped contractor projects, separately Not a pure analytics role — analytics depth is a nice-to-have, not the primary axis Who are you? 5+ years in a data engineering role, ideally including time at a B2B SaaS or product startup Strong Python and SQL — these are languages, not tools; if either is weak, the rest doesn't hold up Hands-on experience deploying and operating data pipelines in production on AWS Experience with a modern warehouse (Snowflake, BigQuery, Databricks, Redshift) — specific tech is not a hard requirement, but depth in at least one is Hands-on with DBT or equivalent transformation framework Backend engineering fluency — you can read and contribute to backend code so you can fix data issues at source Comfortable in a small, fast-moving team where you own outcomes end-to-end 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 Pension contribution 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. We believe that diverse perspectives fuel creativity and innovation, which is why we celebrate individuality and foster an environment of inclusion and belonging. We’re proud to be an equal opportunity employer — discrimination of any kind has no place here. No matter your background, identity, or lived experience, you’re welcome at Pixaera.