O pozici
We are looking for a skilled Data Engineer who will play a key role in shaping our modern data landscape and enabling analytics, AI, and data‑driven decision‑making across the organization. You will contribute to building reliable data products, improving data quality, and supporting strategic initiatives in a collaborative and innovative environment.
Join us as we accelerate the transformation ! It all starts with people. People like you.
Join our team
Epiroc is a global productivity partner for the mining and infrastructure industries. Within our Data & AI Hub, we design and maintain data solutions that empower decision‑making and enable advanced analytics. You will join a growing international team with a strong technical foundation, a collaborative mindset, and a mission to deliver reliable, high‑quality data products to the organization.
Co budeš dělat
- Design, build, maintain and monitor data pipelines for batch and streaming workloads
- Develop and optimize ETL/ELT workflows that are secure, scalable, and reliable
- Collaborate with business stakeholders in value streams to understand requirements and translate them into actionable and executable plans to create data products
- Implement data models that support AI, analytics, reporting, and operational use cases
- Ensure data quality, observability, lineage, security, and governance across all data assets
- Contribute to architectural decisions and best practices for cloud‑based data platforms
Koho hledáme
- Bachelor’s or master’s degree in Computer Science, Data Engineering, Information Systems, or a related field
- 3+ years of experience as a Data Engineer or in a similar data‑focused role
- Advanced SQL skills, including optimization and working with large datasets
- Good Python skills for data processing and automation
- Strong skills in data modeling , including merging, joining, filtering, and transforming structured and semi ‑ structured data
- Ability to build clean, validated, and deduplicated datasets that accurately reflect business rules
- Experience with dimensional modeling, star schemas, and domain ‑ oriented modeling
- Domain understanding : ability to understand the needs of business stakeholders and translate them into actionable data product designs
- Experience working iteratively with stakeholders to refine and improve data products over time
- Ability to challenge requirements, propose better solutions, and ensure alignment with business value
Benefity
- Global career opportunities
- Learning & Development programs
- Benefits package, including variable compensation (bonus)
- Flexible work culture promoting balance and well-being
- Global Parental Leave Policy
- Community involvement
