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Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries.
.Learn more at www.epirocgroup.com.

Data Engineer

Join our team

At Epiroc Tools division, we are building a new Data & AI capability to accelerate the adoption of AI across our global operations, products, and services.
As part of the Digital Innovation team, you will be at the center of this transformation, where we develop scalable AI products supporting the entire division.

We are now expanding our team with dedicated Data Engineering capabilities to strengthen the foundation for our AI and analytics solutions.
You will work closely with data scientists, product leads, and business stakeholders to build robust, scalable data pipelines that power AI-driven products end-to-end.

Your mission

As a Data Engineer, your mission is to build and scale the data foundation that enables modern AI products.
You will play a key role in designing and implementing data pipelines, ensuring data quality, and enabling advanced analytics and machine learning across the organization.

You will:

• 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

You will be part of building something new, defining ways of working, setting standards, and shaping how we scale AI across the Tools division.
You will help define not only what we built, but how we build it.

Your profile

We are looking for someone who combines strong technical skills with a pragmatic and collaborative mindset.
You enjoy solving real problems, building robust systems, and working in a fast-evolving environment.

We believe you bring:

• 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

As a person, you are:

• Curious and solution-oriented

• Collaborative and comfortable working cross-functionally

• Pragmatic, with a focus on delivering value

• Motivated by building something new and making real impact

Location and other

This position can be located in Fagersta, Stockholm, or Örebro, Sweden.

Application

We encourage you to submit your application through our online career site as soon as possible, but no later than 2026-06-14.
Applications will be reviewed on a rolling basis, and the position may be filled before last application date.

We are committed to a thorough recruitment process, including interviews, reference checks and assessments.
To ensure a safe working environment, we conduct identity checks and drug and alcohol screening.