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Data & Engineering

Data Engineer

Turn complex registry information into dependable data products. Combine strong engineering with an understanding of the people who use our data.

Your responsibilities

  • Build pipelines that bring information from different primary sources into a consistent format.
  • Model companies, ownership and changes for use in our products and APIs.
  • Improve data quality with automated checks, monitoring and traceable processing.
  • Translate business rules into maintainable code with compliance and product colleagues.

What you bring

  • Practical experience with SQL and a language such as Python or TypeScript.
  • Knowledge of relational models, APIs and incomplete or conflicting data.
  • A working routine that includes tests, version control and clear documentation.
  • The ability to explain technical decisions and clarify uncertain requirements.

Experience that could fit

You run ETL pipelines and want to work closer to a data product. Or you are a backend engineer who enjoys structuring complex datasets. This sample profile does not prescribe a particular degree.

A possible first project

Take a new source from raw records to API output: understand its structure, build a mapping, agree quality checks and launch the import with the team.