Analytics Engineer
StockholmFull-timePosted 10mo ago
About the role
TL;DR - analytics engineer to own the semantic and modeling layer of the data warehouse, transforming raw data into defined, trustworthy datasets and metrics to enable self-service analytics.
Responsibilities
- Build and maintain data models, following modular, tested, and version-controlled practices
- Partner with domain teams to understand business logic and codify it into reusable models and metrics
- Define and document key metrics and data contracts across domains
- Collaborate with Data Platform Engineers to optimize query performance and warehouse cost
- Automate and maintain data documentation, lineage, and governance standards
- Develop guidelines for analytics development, data modeling and structure conventions
Qualifications
- Expertise with SQL, dbt, SQLMesh or similar tools (data modeling, testing, macros, docs)
- Experience with data warehousing concepts, cloud warehouses (Snowflake, BigQuery, Redshift, Databricks) and BI tools (Looker, Tableau, Power BI, Hex, Metabase, etc)
- Understanding of dimensional modeling, data contracts, and metrics/semantical layers
- Familiarity with modern ELT and orchestration workflows (Airflow, Dagster, Prefect, etc)
- Strong business acumen and ability to translate domain logic into scalable data structures
Skills
Required:SQLdbtData warehousingDimensional modeling
Last updated Sep 9, 2026. Interested? Apply on the company site.
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