Data Engineer

Company description:

Epiroc is a leading productivity partner for the mining, infrastructure and natural resources industries. Withcutting-edge technology, Epiroc develops and produces innovative drill rigs, rock excavation and constructionequipment, and provides world-class service and consumables. The company was founded in Stockholm,Sweden, and has passionate people supporting and collaborating with customers in more than 150 countries.Learn more at www.epirocgroup.com.

We are looking for a Data Engineer who wants to help shape the next chapter of our digital and AI journey within the Tools division. This is a role for someone who enjoys building from scratch, working close to real business challenges, and enabling AI solutions at scale in a global industrial environment.

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 missionAs 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 profileWe 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 otherThis position can be located in Fagersta, Stockholm, or Örebro, Sweden. We offer a hybrid way of working that supports flexibility and work-life balance. Occasional travel may be required.

Why Epiroc?By joining our team, you’ll make a big difference in the energy transition. At Epiroc, we take pride in being passionate innovators, driving the change toward a brighter future for both people and the planet. Guided by our values of Collaboration, Commitment, and Innovation, we foster a culture of trust, growth, and lasting impact.

You will be part of a journey where you:• Build foundational capabilities for AI in an industrial context• Work at the intersection of business, technology, and innovation• Contribute to global solutions used across operations and markets• Help scale AI from experimentation to production

Application and contact informationWe encourage you to submit your application through our online career site as soon as possible, but no later than 2026-10-11. 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. Our process is designed to be fair and inclusive; you can expect transparent communication and a balanced evaluation of your skills and experience.