CareerPlan

Data Engineer - Hybrid

Stockholm, SwedenFull-time2026-10-07 → 2026-11-10

Core

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

Role type

Senior Data Engineer (Consulting)

Builds

Data pipelines and stable, long-term data systems

Domain

Data Engineering / Consulting

Deliverable

production ML models

Required skills

Python, SQL, data modeling, data quality, system architecture, AI agent integration, MCP servers, RAG solutions

Preferred skills

Microsoft Fabric, Databricks, Apache Spark, dbt

Responsibilities

Design and build data pipelines, ensure data quality and security, integrate AI tools for code generation, act as a bridge between technical teams and business needs

Seniority

Senior, hands-on IC