Senior Data Engineer Itfm Transformation & Data Modeling - 17377
Company: Veritaz AB
Location: SE
Type: full time
Posted: 4/26/2026
Job Description
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