Senior Data Engineer

Youll design the architecture set the standards and decide what our data means from ingestion and CDC through BigQuery Airflow and dbt to the semantic layer. If thats the kind of ownership youre after lets talk.

Anyfin helps people refinance expensive consumer credit on better terms. Were profitable we have a banking licence that lets us operate across the EU and were getting ready to launch new products and enter new markets. Every one of those steps lands on the data platform: new sources new definitions new questions nobody has asked yet.

The team is small and intentionally so. Wed rather have fewer people who care about doing things properly and move fast because they trust each other. If you join you wont disappear into a big org. Youll shape what we build and how we build it.

Youll own our data architecture end to end. Our engineering domain teams own the production data in their services. You take it from there all the way to a clean aggregated warehouse. That includes the thinking in between: how data flows where it lives and how it should be modelled for what we need today and whats coming next.

Youll build the single source of truth. A semantic layer that gives every team trusted metrics and shared business definitions so the debate is about what the number means not which number is right.

Youll integrate what comes with growth. New products and new markets bring internal systems third-party providers and everything in between. Youll bring them in and think through what changes downstream.

Youll decide how data is governed. Who owns what how quality is ensured and how the organisation comes to trust its data. Not as a policy document but as something that actually works.

Youll redefine what business intelligence means here. Not just connecting the right tools but deciding how BI is built and consumed at Anyfin.

AI isnt a side tool here. Its built into how we work across engineering analytics operations and product and our tech team has already built an AI-connected data and code environment. That means our data increasingly needs to serve two kinds of consumers: people and agentic systems that will happily act on whatever you give them.

That changes how you think about pipelines interfaces and data contracts. A human analyst might notice that a column looks odd. An agent probably wont. Part of this role is making our data assets solid enough that both can rely on them.

Were looking for someone who is curious about that shift and wants to help shape it. Not someone who thinks good engineering means doing everything the hard way.

Youll work closely with analysts data scientists product teams and engineers who care a lot about getting things right. Youll drive the work and take the initiative. Around you are talented colleagues who will challenge your thinking and help sharpen your ideas just as youll sharpen theirs. Thats how we grow both as people and as a team.

Theyre also generous with what they know quick to laugh and happy to change their minds when you make a better case. As long as you can back it up.

You have a solid background in data engineering ideally in product-focused startups or scaleups. You write production-ready Python and SQL. Youve run Airflow BigQuery and dbt in real production environments not just tutorials.

You have deep expertise in data modelling pipeline design and warehouse architecture and youre comfortable making architectural decisions on your own. You can reason clearly about trade-offs and explain them to people who dont care about the details and to people who care about them a lot.

This role is based in Stockholm and we work from the office. We think great products and culture are built when people meet in person especially at this stage.

EU work authorization is required.

If youd like to build data that both people and agents can trust wed love to hear from you..