Hybrid Data Engineer: Build Scalable AI Pipelines

Epiroc Group; Norbergs kommun; Hybrid; SEK 650,000 - 900,000; Full time

Job summary

Epiroc is seeking a Data Engineer to build and scale data foundations that enable AI products across our global operations. You will design robust data pipelines, ensure data quality, and collaborate with data scientists to power ML workflows in a modern, scalable data platform.

You will join a team building from scratch, defining standards, and shaping how we scale AI across the Tools division, with hybrid work options in Sweden.

Qualifications

• Experience as a Data Engineer or in a similar role (mid–senior level).
• Strong skills in Python and SQL for data processing and transformation.
• Experience with cloud-based data platforms (e.g., Azure, Databricks).
• Experience building data pipelines and working with orchestration tools.
• Understanding of modern data architectures and scalable data workflows.
• Experience collaborating with data scientists and enabling ML pipelines.

Responsibilities

• Design, build, and optimize data pipelines for large-scale, cloud-based environments.
• Ensure data availability, quality, and reliability for AI and analytics use cases.
• Work closely with data scientists to enable feature pipelines and machine learning workflows.
• Develop and maintain scalable architectures supporting end-to-end AI products.
• Contribute to building a modern data platform (Databricks, cloud, orchestration, monitoring).
• Support the full data lifecycle, from ingestion and transformation to serving data for AI and business insights.
• Collaborate with stakeholders across business, IT, and product teams to translate needs into scalable solutions.

Skills

Python

SQL

Azure

Databricks

Data pipelines

Orchestration

ML pipelines

Data quality

Tools

Airflow

Job description

Epiroc is seeking a Data Engineer to build and scale data foundations that enable AI products across our global operations. You will design robust data pipelines, ensure data quality, and collaborate with data scientists to power ML workflows in a modern, scalable data platform.

You will join a team building from scratch, defining standards, and shaping how we scale AI across the Tools division, with hybrid work options in Sweden.