Data Engineer

Epiroc
Stockholm
Workplace: HybridFull timeFunction: Data Analytics & Business IntelligenceSkills: ["Solution-oriented","Collaborative","Pragmatic","Cross-functional collaboration"]

Build and scale the data foundation that enables AI products across the Epiroc Tools division. You will design, implement, and optimize robust data pipelines in large-scale cloud environments, ensuring data availability, quality, and reliability for AI and analytics use cases. Partner with data scientists, product leads, and business stakeholders to deliver end-to-end feature pipelines, modern data platform capabilities (including Databricks and orchestration), and scalable architectures for production AI.

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FursaFursa
Epiroc
Epiroc
3 hours ago

Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 3 hours agoStatus: Live
Reposted: similar role first listed 3 months ago

Job Summary

Build and scale the data foundation that enables AI products across the Epiroc Tools division. You will design, implement, and optimize robust data pipelines in large-scale cloud environments, ensuring data availability, quality, and reliability for AI and analytics use cases. Partner with data scientists, product leads, and business stakeholders to deliver end-to-end feature pipelines, modern data platform capabilities (including Databricks and orchestration), and scalable architectures for production AI.
Location: Stockholm
Workplace: Hybrid
Employment Type: Full time
Job Function: Data Analytics & Business Intelligence
Seniority: Mid level

Key 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.
  • •Develop and maintain scalable architectures supporting end-to-end AI products.
  • •Build and evolve a modern data platform, including Databricks, cloud, orchestration, and monitoring.
  • •Collaborate with data scientists and stakeholders to translate needs into scalable solutions across the full data lifecycle.
Travel: Low travel

Key Requirements

  • •Experience as a Data Engineer or in a similar role at mid–senior level.
  • •Strong skills in Python and SQL for data processing and transformation.
  • •Experience with cloud-based data platforms such as Azure and Databricks.
  • •Experience designing and building data pipelines and working with orchestration tools.
  • •Understanding of modern data architectures and scalable data workflows, including collaboration with data scientists for ML pipelines.
Skills:Solution-orientedCollaborativePragmaticCross-functional collaboration
Tech Stack:PythonSQLAzureDatabricksCloudOrchestrationMonitoring

Company Brief

Epiroc
Designs, manufactures and services equipment, tools and solutions for mining and infrastructure industries, including rock drilling rigs, excavation tools, and aftermarket services to improve productivity and sustainability.
Industry: Mining & Metals
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Stockholm, Sweden
Founded: 2018
WebsiteLinkedIn