Analytics Engineer

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

Requirements

• Expertise with SQL, dbt, SQLMesh or similar tools
• Experience with data warehousing concepts and cloud warehouses (Snowflake, BigQuery, Redshift, Databricks)
• Experience with 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

About the Company

Lovable lets anyone and everyone build software with any language. We are a small, talent-dense team building a generation-defining company from Stockholm, focused on transforming raw ideas into real products fast.