← All jobs

Arla Foods · Viby J · 05 Jul 2026

Data Engineer - Supply Chain Advanced Analytics - Viby in Viby J, Denmark, 8260

Data Engineer SQL Python Databricks ETL / pipelines Data modelling CI/CD Azure

-

Data Engineer - Supply Chain Advanced Analytics - Viby

Category: Information Technology

Location: Viby J, Denmark, 8260

Permanent

Apply Now

Save

Back to search results

Are you excited by building scalable data solutions that directly impact Supply Chain decisions across a global organization? Curious about how data can truly drive business decisions - and not afraid to challenge the status quo to get there?

You will be part of a collaborative Advanced Analytics team where we co-create data-driven solutions with the business and continuously improve our platforms and way of working. We value curiosity, dialogue and the courage to challenge ideas to create better outcomes.

How You Will Make an Impact?

As part of the Supply Chain Advanced Analytics product team, you will work across a broad analytics landscape supporting functions such as SC Finance, Logistics, Planning, QEHS and Procurement.

You will contribute to building and maintaining robust data solutions while collaborating closely with business stakeholders to deliver real value. You will not only implement solutions but also seek to understand business challenges, ask the right questions and help continuously improve how data is used across the organization.

Your key responsibilities will include

Build and maintain end-to-end data pipelines (ingestion, transformation and delivery)

Implement enhancements to improve functionality and performance of supported solutions

Provide technical feedback and drive improvements to operational practices

Lead and coordinate UAT and PAT with business stakeholders, ensuring solutions are challenged, validated and aligned with real business needs

Share and document knowledge to support team development and future scalability

What Will Make You Successful?

We are looking for a data-focused IT Developer with strong analytical and collaboration skills, who thrives in a self-managing, collaborative and business-driven environment. You are curious about both data and the business behind it and motivated to understand how solutions create value. You have strong communication skills and can translate between technical and business perspectives as well as an eagerness to learn and continuously develop your technical and business skills. Further, we are looking for below professional competencies

Hands-on experience with Azure data services (e.g., Databricks, Data Lake, Synapse, Azure SQL, Data Factory, Azure Data Explorer)

Good understanding of Azure as a platform

Solid experience with data systems, analytics and databases

SQL proficiency and working knowledge of relational databases

Basic to intermediate Python knowledge

Familiarity with data modelling and data pipeline technologies

Experience with Git and branching strategies

Understanding of CI/CD pipelines and deployments

Experience working closely with business stakeholders (requirements gathering, alignment, etc.)

What Do We Offer?

You will join a team of 21 specialists working across Data Foundation, Power BI, SAP BW, SAP Analytics Cloud, BODS and Power Apps. Together, we deliver business-driven analytics solutions that strengthen decision-making across the Supply Chain.

We offer

A collaborative and diverse product team working closely with the business

Exposure to a wide range of technologies and data platforms

Opportunities to shape future analytics capabilities

A strong culture of knowledge sharing and continuous improvement

A direct impact on global Supply Chain transformation

Our team delivers solutions such as BW reports, Power BI dashboards, Power Apps, curated datasets and machine learning models - with AI agents as our next step. All solutions are built in close partnership with stakeholders, ensuring real business value.

Would you like to join us?

If you are passionate about data engineering and want to make a real impact in a global Supply Chain organization, we encourage you to apply.

Please apply as soon as possible, as we process applications on a continuous basis.

For more information, please contact Magda Merecka at

View & apply ↗

More open AI roles at Arla Foods

Related topics