Data Engineer
- Role
- Data Engineering
- Employment
- Full-time
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No BS summary
The Data Engineer plays a key role in strengthening the analytics capabilities within ASSA ABLOY Group, with a strong focus on the Microsoft Power BI and Fabric ecosystem. The role combines data engineering and business intelligence development, ensuring scalable, high-quality analytics solutions that support business decision-making.
Core skills
Required skills
Role OverviewThe Data Engineer plays a key role in strengthening the analytics capabilities within ASSA ABLOY Group, with a strong focus on the Microsoft Power BI and Fabric ecosystem. The role combines data engineering and business intelligence development, ensuring scalable, high-quality analytics solutions that support business decision-making. The position requires a proactive and independent working style, strong technical proficiency in modern data platforms, and the ability to collaborate effectively with stakeholders across the business.ResponsibilitiesDesign, develop, and maintain scalable Power BI dashboards, reports, semantic models, and analytical solutions.Build, automate, and optimize data pipelines using Microsoft Fabric components such as Dataflows Gen2, Pipelines, Notebooks, and OneLake.Integrate and prepare data from diverse sources including cloud services, REST APIs, on-premises databases, and third-party platforms.Define requirements and KPIs together with stakeholders, ensuring data governance, security, and performance tuning.Monitor, troubleshoot, and maintain analytics workflows to secure high availability and data quality.RequirementsProven hands-on experience with Power BI (DAX, Power Query, data modeling, report development).Strong proficiency in SQL and data transformation techniques.Practical expertise with Microsoft Fabric components such as OneLake, Pipelines, Dataflows Gen2, and Notebooks.Experience building, testing, and maintaining robust, scalable data pipelines (ETL/ELT).Experience integrating data through APIs and working with JSON/XML formats.Familiarity with Azure Data Services and general cloud concepts.Experience working in Agile environments using tools like Azure DevOps or Jira.SkillsPower BIMicrosoft FabricSQLETL/ELTAzureBenefitsLearning and career development opportunities.A competitive salary and incentive schemes.Modern infrastructure.
What you'll do
- Design, develop, and maintain scalable Power BI dashboards, reports, semantic models, and analytical solutions.
- Build, automate, and optimize data pipelines using Microsoft Fabric components such as Dataflows Gen2, Pipelines, Notebooks, and OneLake.
- Integrate and prepare data from diverse sources including cloud services, REST APIs, on-premises databases, and third-party platforms.
- Define requirements and KPIs together with stakeholders, ensuring data governance, security, and performance tuning.
- Monitor, troubleshoot, and maintain analytics workflows to secure high availability and data quality.
What they require
- Proven hands-on experience with Power BI (DAX, Power Query, data modeling, report development).
- Strong proficiency in SQL and data transformation techniques.
- Practical expertise with Microsoft Fabric components such as OneLake, Pipelines, Dataflows Gen2, and Notebooks.
- Experience building, testing, and maintaining robust, scalable data pipelines (ETL/ELT).
- Experience integrating data through APIs and working with JSON/XML formats.
- Familiarity with Azure Data Services and general cloud concepts.
- Experience working in Agile environments using tools like Azure DevOps or Jira.
Benefits
- Learning and career development opportunities.
- A competitive salary and incentive schemes.
- Modern infrastructure.