Senior Data Engineer (AI & Data Products)
This is the employer's own posting, not a copy on a job board.
What we know
Is it still open?
Confirmed still open
Last checked 12h ago — checked against the employer's own applicant tracking system, which is the company answering directly.
We re-read the employer's own applicant tracking system and the posting was still there. That is the company answering directly.
How old is it?
Posted 19d ago
The date the source published, not the day we noticed it (2026-10-14). Last seen at its source 2h ago.
We have tracked this listing since 23 Oct 2026 (10 days). The employer's own board has carried it every time we have read it, most recently 2 hours ago.
Is it remote?
Marked remote on the employer's board
Their board carries a remote setting on this posting — a field they filled in, not wording we read. The location field names somewhere specific, which is usually where the team or the entity sits.
Who may apply?
United Kingdom, The Netherlands
The description states no restriction of its own. This is the source's own tag.
Pay
£90k–110k/yr
Read out of the job description by us, not from a structured field. Shown in the posting's own currency and period; we never convert.
Skills named in the ad
Recognised terms only, from a fixed vocabulary — this is what CV matching compares against.
Carried by 1 source
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Workable employer's own board first seen 10d ago · last seen 2h ago
The listing
About the company
Our client is an early-stage AI company building agents for finance teams and the Office of the CFO. Its platform connects financial data across systems so AI can retrieve information and reason accurately across complex business entities.
The role / why it matters
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.
Requirements
What we're looking for
• 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.
Benefits
Compensation and benefits
• £90,000-£110,000 annual base salary plus competitive equity.
• Direct ownership of data architecture and a path toward team leadership.
Location / work model
Full-time, remote-first, based in Amsterdam (preferred) or London and working UK/CET hours. The team may co-work locally and meets onsite about every two months in New York, London or Amsterdam. Existing UK or EU work authorization is required; new visa sponsorship is not available.