
11 - 50 employees
Founded 2020
Manufacturing • Construction • Logistics
Pixaera is transforming workplace safety training by utilizing advanced simulation technology and immersive learning experiences. Their platform delivers customized training solutions that prepare frontline workers to handle real-world safety scenarios effectively, reducing risks and preventing incidents. Pixaera emphasizes continuous improvement in safety competencies and fosters a unified safety culture across various industries.
🕒 May 4
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11 - 50 employees
Founded 2020
Manufacturing • Construction • Logistics
Pixaera is transforming workplace safety training by utilizing advanced simulation technology and immersive learning experiences. Their platform delivers customized training solutions that prepare frontline workers to handle real-world safety scenarios effectively, reducing risks and preventing incidents. Pixaera emphasizes continuous improvement in safety competencies and fosters a unified safety culture across various industries.
• 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 • 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
• 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.
• 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
Apply Now🕒 April 1
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