Analytics Engineer.
Analytics Engineer capacity for the modelling layer — clean, tested, documented tables your analysts can work from directly.
Assigned under one service agreement with a minimum monthly capacity in hours, run by a service delivery manager in Chiang Mai, Thailand — five hours ahead of Northern Europe.
This role is delivered as part of our data engineering services. Take the role on its own, or the whole discipline as one delivery team.
Open data engineering services →One analytics engineer's capacity, working on your product.
Skills and scope are agreed before delivery starts, so the first sprint is productive rather than a ramp-up month. The work runs to the same backlog, the same repositories and the same definition of done as your own team's.
- Pipeline development
Ingestion and transformation that runs on schedule and can be trusted.
- Data modelling
Warehouse models built for the questions your business asks.
- Data quality
Tests, contracts and monitoring on the tables people depend on.
- Platform maintenance
Cost, performance and schema changes handled as they arrive.
Questions about this role.
Can I choose the seniority level?
Yes. Junior through principal data engineers are available, priced by level. We'll recommend a level based on the scope you share before delivery starts.
What if the stack isn't listed above?
Tell us what you use. The list above is what we see most often, not a limit — we'll confirm fit for your exact setup at scoping.
Can I add a second data engineer later?
Yes, at the next monthly cycle. Capacity moves with your roadmap rather than locking you into the original scope.
Who owns the pipelines and code the data engineer writes?
You do. Work happens in your repositories, under your license terms, from the first commit.
Add analytics engineer capacity to your roadmap.
Tell us the scope and the stack. We come back with the profile, the capacity and what the first month looks like.
Tell us what you are looking for.
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