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Lead Data Engineer

Solna, Sweden💼 Full-time🗓 2026-02-20 → 2026-09-28

Core

Design and build scalable data solutions in Azure and Databricks, developing ETL/ELT pipelines and shaping the team's approach to data platform architecture.

Role type

Lead Data Engineer (Technical Lead)

Builds

Modern Azure and Databricks data platform, including Delta Lake and Unity Catalog implementations

Domain

Enterprise data engineering, cloud data platforms (Azure, Databricks)

Required skills

Databricks, Azure data ecosystem, SQL, Python, ETL/ELT pipeline development, data modeling, Delta Lake, Unity Catalog, Lakehouse principles

Preferred skills

Technical leadership, architectural decision-making, code review, sprint planning, documentation

Technologies

Azure, Databricks, Delta Lake, Unity Catalog, Qlik

Responsibilities

Design and build scalable data solutions in Azure and Databricks; Develop and refine ETL/ELT pipelines, including near real-time data flows; Contribute to architectural decisions together with architects and stakeholders; Bring clarity to coding standards, branching strategies, and documentation; Review code and promote consistency, quality, and maintainability; Support sprint planning by helping break down and refine technical solutions

Seniority

Senior, hands-on IC with technical leadership responsibilities

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