Data Engineer
Core
Building data platforms, ingestion frameworks, and production-ready models for analytics, reporting, and AI across financial services, manufacturing, and logistics.
Role type
Senior Data Engineer (Consulting)
Builds
Kafka-based ingestion frameworks, cloud-based Databricks lakehouses, data migration plans, and analytics models.
Domain
Cloud data engineering, consulting, financial services, manufacturing, logistics
Deliverable
production ML models | product features
Required skills
Python, SQL, PySpark, cloud data solutions (Azure/AWS), data modeling (Kimball/Lakehouse), software engineering principles, AI-assisted development tools
Preferred skills
Databricks, Microsoft Fabric, CI/CD pipelines, data governance, graph databases, prior consulting experience, Swedish language
Technologies
Python, SQL, PySpark, Kafka, Databricks, Azure, AWS, CI/CD, Claude Code, Codex
Responsibilities
Design and build data ingestion frameworks, migrate on-prem data warehouses to cloud lakehouses, audit and optimize data platforms, develop analytics models, collaborate with cross-functional teams on solution definition and delivery
Seniority
Senior, hands-on IC with consulting exposure