About this role
Job title: Senior Data Engineer
About the Unit
About Yara
Yara grows knowledge to responsibly feed the world and protect the planet. Supporting our vision of a world without hunger and a planet respected, we pursue a strategy of sustainable value growth, promoting climate-friendly crop nutrition and zero-emission energy solutions. Yara’s ambition is focused on growing a nature positive food future that creates value for our customers, shareholders and society at large and delivers a more sustainable food value chain.
To achieve our ambition, we have taken the lead in developing digital farming tools for precision farming and work closely with partners throughout the food value chain to improve the efficiency and sustainability of food production. Through our focus on clean ammonia production, we aim to enable the hydrogen economy, driving a green transition of shipping, fertilizer production and other energy intensive industries.
Founded in 1905 to solve the emerging famine in Europe, Yara has established a unique position as the industry’s only global crop nutrition company. We operate an integrated business model with around 17,000 employees and operations in over 60 countries, with a proven track record of strong returns. In 2021, Yara reported revenues of USD 16.6 billion.
About the Unit:
Yara Enterprise Information Technology, also known as Enterprise IT or Yara IT, is a network of interconnected teams and departments that deliver and support Yara's global IT services.
Together, we provide a wide range of platforms and services that enable Yara’s global operations — including hosting, networking, cybersecurity, application services, and the digital workplace.
Responsibilities
- Mentor and coach data engineers, providing technical guidance and supporting professional growth.
- Lead technical design discussions, architecture reviews, and engineering decision-making processes.
- Promote engineering best practices, coding standards, quality assurance, and operational excellence.
- Support planning, estimation, prioritization, and execution of data engineering initiatives and strategic data products.
- Act as a trusted technical leader, balancing business priorities with engineering excellence and long-term platform sustainability.
- Build and maintain data ingestion frameworks from SAP (SAP ECC, SAP S/4HANA, SAP BW, and SAP Business Data Cloud) and non-SAP sources.
- Design data models supporting analytics, AI, and operational use cases.
- Implement data quality, monitoring, observability, and operational controls.
- Optimize performance, scalability, reliability, and cost efficiency across the platform.
- Build and manag