Senior Data Engineer

About Data Hatch

Data Hatch is a UK-based agentic AI company building data platforms and AI products for mid-market clients in healthcare, insurance, and financial services. We're a Databricks partner shipping real production systems — including a data platform for a national healthcare group and an LLM-powered underwriting app for a Lloyd's of London coverholder. Lean team, no bureaucracy, work that goes live.

The role

We're looking for a Senior Data Engineer to own the design and delivery of cloud-native data platforms across our client portfolio. You'll work directly with our Director of Architecture and CEO on engagements that blend modern data engineering with LLM and agentic AI workloads.

What you'll do

• Design and build production data platforms on Azure + Databricks
• Develop scalable pipelines in Python and PySpark with strong SQL across complex models
• Own end-to-end delivery — requirements, architecture, build, handover
• Implement governance, lineage, and access controls in Unity Catalog
• Partner with ML engineers and architects on data foundations for LLM applications
• Review code and mentor junior engineers

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What we're looking for

• 5+ years in data engineering, with at least 2 years hands-on with Databricks
• Strong Python and PySpark; fluent SQL; comfortable with complex transformations
• Production experience on Azure (Data Factory, ADLS, Synapse a plus)
• Solid grasp of medallion architecture, dimensional modelling, and data quality patterns
• Working knowledge of Unity Catalog or equivalent governance tooling
• Clear written and spoken English — you will be in client-facing conversations
• Healthcare, insurance, or financial services experience is a plus
• Databricks certifications welcomed (we'll pay for more)

What we offer

• ₹15-25 LPA, paid monthly in INR plus performance bonus
• 100% remote — work from anywhere in India
• Flexible hours with a UK overlap
• 25 days paid leave + Indian public holidays
• Annual learning and certification budget (Databricks, Azure, AI)
• Hardware allowance
• Real AI-native client work — no maintenance backlog, no legacy purgatory
• Clear path to staff engineer / tech lead as we scale
• Occasional travel to UK and EU client sites where it helps

How to apply

Send your CV and a short note on what makes you amazing — a project you're proud of, something you built that surprised even you, or the thing you do better than most engineers you know. Generic applications won't get read.