CareerPlan

Data Engineer - Hybrid

Stockholm, SwedenFull-time2026-10-22 → 2026-11-10
Hybrid · Sweden

Core

Building stable, long-term data pipelines and systems that convert data into business value, acting as a bridge between technology and sustainable systems.

Role type

Senior Data Engineer (Hybrid)

Builds

Data pipelines and stable, long-term data systems

Domain

Data Engineering / AI Infrastructure

Deliverable

production ML models

Required skills

Python, SQL, data pipeline construction, data modeling, data quality assurance, system scalability, security awareness

Preferred skills

Microsoft Fabric, Databricks, Apache Spark, dbt, MCP servers, RAG solutions, AI coding agents

Technologies

Python, SQL, Microsoft Fabric, Databricks, Apache Spark, dbt

Responsibilities

Design and build data pipelines, ensure data quality and security, evaluate AI-generated code for safety and scalability, bridge technical implementation with business needs

Seniority

Senior, hands-on IC