About this role
Join us and rebuild our data stack for AI-first tech and data teams. We are looking for a Senior Data Engineer who will redesign how data turns into intelligence at Xeneta. Our engineers, data scientists and analysts already build data products with tools like Claude Code, but the AI agents are only as good as the data they can reach. Our data stack (Snowflake, dbt, AWS, OpenMetadata) is already top-of-class and has been recognised by peers at conferences - your job is to take it to the next level. You will cut the time it takes to build and ship a data model from days to hours.
You will own our data architecture end to end: modelling, pipelines, governance and the stack underneath. You will decide what gets rebuilt, evolved, or retired. You will make data discoverable, trusted and usable by humans and agents alike. Xeneta provides the data and intelligence that underpins ocean and air freight decisions for the largest buyers and sellers in the market. Your work is what makes that intelligence possible.
- Location: Bucharest (RO), London (UK), Oslo (NO) Own the pipelines that feed the Xeneta platform with data, and decide what gets rebuilt, evolved or retired.
- Redesign our data models in Snowflake and dbt so a data scientist or engineer can go from an idea to shipped model in hours, not days - without messing up the critical data in production.
- Make our data usable by AI agents: clean semantics, documented lineage, and metadata that Claude Code and other AI tools can read and act on reliably.
- Educate the tech and data teams as well as the wider organisation on using data with AI tools.
- Set the governance rules for how data is defined, owned and accessed, and build them into the stack instead of writing them into a policy.
- Automate the repetitive work: access provisioning and approvals, onboarding new data sources, adding data quality checks, and keeping documentation and lineage current.