CareerPlan

Data Engineer - Hybrid

Stockholm, SwedenFull-time2026-10-13 → 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/Contractor)

Builds

Data pipelines, data models, and AI-ready data infrastructure for client projects.

Domain

Data Engineering, AI/ML Infrastructure, Consulting

Deliverable

production ML models

Required skills

Python, SQL, Data pipeline architecture, Data modeling, Data quality assurance, Microsoft Fabric, Databricks, Apache Spark, dbt

Preferred skills

MCP servers, RAG solutions, AI coding agents

Responsibilities

Design and build data pipelines, ensure data quality and security for AI models, implement data models, act as a technical bridge between client needs and system architecture.

Seniority

Senior, hands-on IC