Veritaz AB
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Veritaz is a leading IT staffing solutions provider in Sweden, committed to advancing individual careers and aiding employers in ensuring the perfect talent fit. With a proven track record of successful partnerships with top companies, we have rapidly grown our presence in the USA, Europe, and Sweden as a dependable and trusted resource within the IT industry.
Assignment Description
We are seeking a Senior Data Engineer
What You Will Work On
Lead the end-to-end redesign and productization of ITFM data logic
Reverse engineer and extract business rules from existing dbt models
Validate and refine logic together with business stakeholders
Define and implement a structured information model (sources → concepts → dimensions/facts → reporting layer)
Design and build star schema data models (fact tables, conformed dimensions, SCD where required)
Refactor dbt projects into structured layers (staging, intermediate, marts) with improved standards
Optimize BigQuery performance and cost (partitioning, clustering, incremental processing)
Support ongoing development of new datasets, metrics, and integrations
Ensure high code quality through testing, CI practices, code reviews, and release management
Produce clear and structured documentation (dbt docs, lineage, data contracts, runbooks)
Leverage AI tools to support documentation, testing, and migration activities
What You Bring
Strong expertise in SQL and advanced data modeling (star schema, fact/dimension modeling)
Extensive hands-on experience with dbt (macros, testing, incremental models, documentation)
Proven experience with Google Cloud Platform, especially BigQuery (performance tuning and cost optimization)
Domain knowledge in FinOps or ITFM (e.g., cost allocation, chargeback models)
Ability to work in environments with limited documentation and drive requirement clarification
Strong experience in technical documentation and data governance
Proven ability to lead refactoring and modernization initiatives
Experience mentoring or supporting other engineers
Familiarity with applying AI tools in development workflows