> Markdown version of [/jobs/ext/3739755-senior-data-engineer-ai-data-products](https://www.wearedevelopers.com/jobs/ext/3739755-senior-data-engineer-ai-data-products). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Engineer (AI & Data Products) - **Company:** Raydar - **Location:** Amsterdam, Netherlands (Remote available) - **Experience:** Expert - **Salary:** €7,500.0 - €9,167.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Business Software, Cloud Computing, Cloud Computing Security, Continuous Integration, Information Engineering, Extract Transform Load (ETL), Data Warehousing, Graph Database, Python (Programming Language), Machine Learning, Operational Databases, SQL Databases, Data Ingestion, AI Platforms, Infrastructure Automation Frameworks, Data Pipelines - **Published:** October 15, 2026 - **Apply:** https://www.adzuna.nl/details/5928073776 ## About the Role * 6-10 years of professional data engineering experience. * Strong production Python skills and ownership of reliable ETL/ELT pipelines. * Experience supporting AI or machine learning features in production. * Conceptual or hands-on knowledge of graph databases and vector stores, beyond a SQL-only background. * Cloud platform experience, preferably GCP, plus infrastructure as code, CI/CD and cloud security. * Existing authorization to work in the UK or EU. * Ability to work UK/CET hours and attend team on-sites about every two months. Bonus points * Early or founding engineering experience at a B2B startup. * Financial systems, accounting, FP&A or business analytics experience. * Interest in growing into a technical team lead. ## Description As a Senior Data Engineer, you will own production data pipelines and the ontology behind an AI platform, reporting directly to the CTO. You will stay hands-on while growing toward technical leadership in a small, remote-first team. What you'll do * Build and operate Python ingestion pipelines into graph databases and vector stores. * Integrate data warehouses and business applications into reliable ETL/ELT workflows. * Design the data ontology for accurate retrieval and agent reasoning. * Own deployment tooling, cloud infrastructure, monitoring and security. * Progress from primarily individual contribution toward a 60/40 split of engineering and mentoring or architecture leadership.