Experienced Data Platform Engineer - Data Foundation - Aarhus or Gdansk
Data Platform Engineer joining Arla's international Data Foundation team to develop and maintain a cloud-based enterprise data platform on Azure (Databricks, Data Factory) using Terraform, Python/PySpark and SQL, with a focus on CI/CD, automation and observability. Based in Aarhus, Denmark or Gdansk, Poland.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Full time
- Experience
- Not specified
- Category
- Data engineering
- Posted
Skills
Must have
- Several years of experience developing and maintaining enterprise-scale data platforms
- Strong expertise within Azure Databricks, Azure services, Terraform, Python/PySpark and SQL
- Experience with Azure Data Factory, Azure DevOps, GitHub and Infrastructure as Code (IaC)
- Understanding of architectural patterns, integration design and modern software engineering practices
- Experience with CI/CD, test automation and DevOps methodologies
- Knowledge of observability, performance optimization, resilience patterns and incident management
- Strong communication and stakeholder management skills, with ability to mentor and guide colleagues
- Professional proficiency in English
Full description
Viby J, Denmark, 8260
Gdansk, Poland, 80-244
Category: Information Technology
Permanent
How you will make an impact
As an Experienced Data Platform Engineer, you will join an international team responsible for developing and maintaining Arla’s Data Foundation Platform. You will contribute to the continuous evolution of our cloud-based data platform, ensuring scalability, reliability and performance across our data ecosystem. Your key responsibilities include
- Contribute to the technical implementation of complex features and services while improving architecture and reducing technical debt.
- Support other developers through code reviews, technical coaching and knowledge-sharing sessions.
- Collaborate closely with Product Architects and product teams to shape technical direction and non-functional requirements.
- Design and implement robust services, APIs and data pipelines, ensuring scalable and maintainable solutions.
- Drive best practices within code quality, testing, automation and observability.
- Evolve CI/CD pipelines and strengthen platform reliability, performance and resilience.
What will make you successful
To succeed in this role, you combine strong engineering expertise with a passion for platform development, automation and continuous improvement. You enjoy solving complex technical challenges and helping others grow through collaboration and mentoring. We encourage you to apply even if you don’t meet all the requirements. We imagine the ideal candidate brings
- Several years of experience developing and maintaining enterprise-scale data platforms.
- Strong expertise within Azure Databricks, Azure services, Terraform, Python/PySpark and SQL.
- Experience with Azure Data Factory, Azure DevOps, GitHub and Infrastructure as Code (IaC).
- Understanding of architectural patterns, integration design and modern software engineering practices.
- Experience with CI/CD, test automation and DevOps methodologies.
- Knowledge of observability, performance optimization, resilience patterns and incident management.
- Strong communication and stakeholder management skills, combined with the ability to mentor and guide colleagues.
- Professional proficiency in English.
What do we offer?
You will join a highly skilled international team working on one of Arla’s most critical technology platforms. We offer an environment where innovation, knowledge sharing and continuous learning are highly valued, and where you will have the opportunity to influence the future of our enterprise data landscape. At Arla, we are committed to professional development and empowering our people to grow their careers while making a real impact across the business.