Experienced Data Engineer

Are you passionate about data, AI and technology, and eager to build digital solutions that create real business value?

Our mission is simple to deliver business value through digital solutions that meet real business needs. We are looking for a curious and collaborative Senior IT Developer who is eager to leverage data, AI, and technology to solve challenges, enable better decisions, and make a lasting impact says Marianne Helleshøj, Head of IT Product for Innovation & Consumers.

How you will make an impact

As an Senior IT Developer, you will join the Commercial IT Product team supporting Innovation and Consumer Intelligence. You will help develop and maintain data-driven solutions that enable better insights, decision-making and business outcomes. Working closely with business stakeholders and your team members, you will translate requirements into scalable and maintainable technical solutions.

Together with the team, you will build and maintain data products on Arla’s data platform primarily built around Azure Databricks, Power BI, and Microsoft Foundry. The solutions will be built in a mixture of PySpark and SQL and deployment will happen via Terraform with version control in Azure DevOps or GitHub.

Your key responsibilities include

• Collaborate with business stakeholders to understand requirements and translate them into technical solutions.

• Develop and maintain data pipelines, data models and digital solutions that support business needs.

• Build scalable ETL/ELT processes and contribute to high-quality data engineering practices.

• Support the continuous improvement of existing solutions and development processes.

• Work closely with developers, architects, IT specialists and business stakeholders to deliver reliable and maintainable solutions.

• Contribute to the development of modern cloud-based data platforms and applications.

What will make you successful

To succeed in this role, you are curious, analytical and with strong collaboration skills. You enjoy solving complex problems, working with data and collaborating with both technical and non-technical stakeholders. You strive to get the best out of the collaboration and supporting and helping your colleagues just as they help you when you need it. We imagine the ideal candidate brings

• A degree in information systems, computer science, engineering or similar

• 3-5 years of experience as Data Warehouse Developer, BI Developer, SQL Developer or Data Engineer

• The ability to translate business needs into practical technical solutions

• Experience developing with Spark in Databrick

• Proficient in vector databases, embeddings, LLMs, data agents and generative AI

• Proficient in SQL and PySpark

• Proficient in any ETL/ELT/Integration/Workflow/Task Automation tool (e.g. Azure Data Factory, Logic Apps, Azure Function, SSIS etc.)

• Knowledge of data engineering best practices and scalable solution design in a lakehouse environment

• A proactive, positive mindset and willingness to learn new technologies – especially within AI
  

It is an advantage but not a requirement if you also have any of these

• Databricks experience

• Experience with basic data science concepts and LLM know-hows

• Azure cloud experience

• Terraform knowledge

• Knowledge of deployment concepts and containerization

• Experience in web application development

What do we offer?

You will join a collaborative IT Product team within Commercial IT, working closely with Innovation and Consumer Intelligence. The role offers a unique opportunity to work at the intersection of business, data, AI and technology, where your solutions help transform data into actionable insights and measurable business value.

We believe in learning by doing and provide an environment where curiosity, knowledge sharing and continuous development are encouraged.

What do we offer?

• Work in an international environment with teams across different countries

• Scandinavian working style – flat structure, informal atmosphere & no formal dress code

• Flexible working hours with a hybrid work model, offering a balance between office collaboration and home office flexibility

• Additional annual leave of up to 4 extra days, awarded over time in recognition of your tenure with us

• Private medical care (LUX MED) and life insurance (Unum)

• Cafeteria benefits system (gym card, vouchers, travel points, cinema tickets – you choose)

• Employee Assistance Program (psychological, legal and financial support)

• Wellbeing initiatives, including sports activities and communities (e.g. running team)

• Structured onboarding and access to expert‑led trainings

• Co‑financing of education and certifications, supporting continuous professional development

• Employee referral bonus program

• Brand‑new modern office full of greenery and plants

• On‑site parking

• Spacious canteen with fresh breakfasts and lunches available daily

Please note that this role requires you to be in the office 50% of the time + one additional day (monthly).

We are committed to salary transparency and will discuss the salary range and benefits before the first interview.

Would you like to join us?

If you are ready to start your career in a role where technology, data and business come together, we would love to hear from you. Please apply as soon as possible, as we review applications on a continuous basis and may close the recruitment once the right candidate has been found.

For additional information, please contact Marianne Helleshøj, Head of IT Product for Innovation and Consumers, at +45 91 31 16 39.

Shape the Future of Dairy

Arla is a global leader in the dairy industry, committed to enabling good food choices that make life better, providing people with natural, sustainable nourishment, while taking care at every step to ensure Arla is a choice they can feel good about. If you are looking to shape the future with an ambitious global cooperative that truly cares about your growth, where everyone feels valued and empowered, and collaboration is the core of culture, Arla is a choice you can feel good about.