Are you motivated by turning data into reliable insights and practical solutions for commercial teams?
Do you enjoy combining Power BI development with hands-on support and a growing understanding of Azure data engineering?
Join our Retail Product Team in Commercial IT & Digital and help develop, operate and improve data and reporting solutions used across Arla’s commercial organization. Our portfolio supports areas such as Trade Promotion Management, Net Revenue Management, Key Account Management and Retail Execution.
You will work with Power BI solutions built on commercial datasets covering areas such as electronic point-of-sale data, sales, products and customers. You will also build your understanding of the Azure-based data pipelines and data products that provide the foundation for these insights.
How you will make an impact
As our Entry IT Specialist within Retail, your initial focus will be developing, maintaining and supporting Power BI reports and dashboards. Alongside this, you will gradually contribute to selected data engineering activities and strengthen your understanding of the end-to-end data flow from source systems and Azure pipelines to business-facing reporting.
This is a varied and operational role. Your work will shift between development, troubleshooting, incident response, user support and continuous improvement. You will work closely with Product Owners, business stakeholders, Data Engineers, Architects and other IT colleagues, with support and guidance matched to your experience.
Your key responsibilities will include:
- Develop, enhance and maintain Power BI reports, dashboards and semantic models based on business needs.
- Work with Power BI Desktop, Power Query, DAX and SQL to create clear, reliable and user-friendly reporting solutions.
- Support existing Power BI solutions, including investigating incidents, troubleshooting data issues and communicating progress to users and stakeholders.
- Collaborate with business stakeholders to understand reporting needs, clarify requirements and translate them into practical technical solutions.
- Contribute to data quality checks, testing, documentation, deployment and structured handover of new or changed solutions.
- Understand and monitor the upstream data flows that supply Power BI solutions, and help identify whether issues originate in the report, data model or data pipeline.
- Contribute to selected Azure data engineering tasks, such as data ingestion, transformation, orchestration and pipeline maintenance, with guidance from experienced colleagues.
- Participate in Agile planning, backlog refinement, code reviews and continuous improvement activities across the Retail Product Team.
- Help improve operational stability through better monitoring, documentation, reusable solutions and root-cause resolution.
What will make you successful
You may be a recent graduate or have a few years of relevant experience. More important than knowing every technology from day one is that you have a solid analytical foundation, enjoy solving real operational problems and are motivated to develop across both business intelligence and data engineering.
We imagine that you bring:
- A relevant degree in Computer Science, Software Engineering, Data Engineering, Business Intelligence, Information Technology or a related field, or equivalent practical experience.
- Practical knowledge of Power BI, including Power BI Desktop, Power Query, data modelling and basic DAX. This may come from work, an internship, studies or personal projects.
- Working knowledge of SQL and an understanding of relational data, data quality and analytical modelling.
- An interest in Azure data platforms and a desire to learn technologies such as Azure Data Factory, Azure Data Lake and Databricks.
- Basic programming experience, preferably with Python or PySpark, is an advantage.
- An understanding of ETL/ELT, data pipelines, Git, Azure DevOps, CI/CD or automated testing is an advantage, but not a requirement.
- The ability to communicate clearly in English and collaborate with both technical colleagues and business stakeholders.
Most importantly, you are curious, structured and hands-on. You take responsibility for following tasks through, are comfortable asking for support when needed and enjoy a role where priorities can move between planned development and urgent operational needs. You are motivated by learning, but also by making existing solutions work reliably for their users.
What do we offer?
You will join a collaborative Retail Product Team with a broad commercial solution landscape and strong opportunities to learn across reporting, data engineering and product operations. You will gain practical experience with business-critical data and solutions while working closely with experienced specialists, architects and commercial stakeholders.
- A role with Power BI as the initial focus and a clear opportunity to build capabilities in Azure data engineering over time.
- Varied work across development, support, incident handling and continuous improvement rather than a narrow single-technology role.
- Structured onboarding, professional guidance and room to take increasing ownership as your experience grows.
- Exposure to commercial processes and solutions within Trade Promotion Management, Net Revenue Management, Key Account Management and Retail Execution.
- An international and collaborative working environment with flexibility and opportunities for professional development.
Would you like to join us?
If you are motivated by combining data, reporting and technology, and want to grow into a versatile specialist who can develop solutions and support them in daily operation, we would like to hear from you.
Please apply as soon as possible, as we process applications on a continuous basis.
