Within our existing Snowflake Lakehouse platform, you work on clearly defined data product tasks and contribute actively to the development process
DBT models are built by you following established templates, writing straightforward SQL transformations and working within our existing project structure
Existing DataVault entities are extended by you based on templates – for example by adding new satellite attributes – while gradually deepening your understanding of Hub, Link, and Satellite concepts
Schema tests in DBT are maintained and extended by you; you develop an understanding of source freshness and report data quality issues in a structured way to the team
Existing documentation – including attribute descriptions and source field mappings – is maintained carefully by you, and your own models are commented according to established standards
Sprint ceremonies are attended by you as an active participant; clearly scoped tasks are completed reliably, and you proactively seek clarification when needed
In close collaboration with Senior Engineers, Analytics Engineers, and the Product Owner, you build your understanding of the relevant source systems – SAP, e-commerce, and CRM – at a conceptual level
Your Skills
First hands-on experience in data engineering or a comparable technical discipline is part of your background – for example from your studies, an apprenticeship, or an internship
Foundational SQL skills are in place; first exposure to DBT or similar transformation frameworks is a welcome plus
Basic Python knowledge for data processing or automation is something you bring and are eager to develop further in your day-to-day work
A conceptual understanding of data modelling – for example DataVault or Kimball principles – is either already present or something you are motivated to build in a structured way
Version-based workflows such as Git, pull requests, and code reviews are familiar to you, or you are ready and willing to develop confidence in them
Tasks are approached by you in a structured manner; ticket statuses are updated reliably, and you communicate openly when you need technical guidance
Linked-in
Google