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Data Engineer

Stockholm, Sweden💼 Full-time🗓 2026-04-20 → 2026-09-26

Core

Designing and developing robust, scalable data pipelines and products for a security-critical domain.

Role type

Data Engineer

Builds

Production data pipelines and data products

Domain

Data engineering in a security-critical domain

Deliverable

production ML models

Required skills

Python, PySpark, Airflow, GitHub, Databricks, ETL pipeline development, data quality assurance

Preferred skills

Delta tables, Parquet files, machine learning, LLMs

Responsibilities

Design and develop data pipelines and data products; Build, optimize, and maintain ETL flows for production; Work with storage and management of large datasets in modern data architectures; Ensure data quality, traceability, and reliability; Collaborate with other engineers, analysts, and business representatives; Contribute to continuous improvement of platforms, workflows, and solutions

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