Data Engineer

Short Description

At Manpower, we collaborate with leading international organizations that work to address some of the world’s key challenges, including resource scarcity, food insecurity, and environmental change through responsible and innovative solutions. On behalf of our trusted partner, we are currently looking for an experienced Data Engineer to join a growing international team. About the Unit: Our partner has an ambitious strategic vision to become a future-oriented leader in crop nutrition, driving the development of sustainable agriculture and advanced digital solutions. With a global presence across approximately 150 countries and a workforce of around 17,000 employees, the organization is investing heavily in innovation to transform food production into a more efficient and sustainable system. A newly established business function focused on farming solutions leads this transformation by continuously improving both the product offering and ways of working. The Engineering Department plays a key role in developing and scaling innovative “on-farm” digital and integrated tools that contribute to a more transparent food system and improved environmental outcomes.

Description

Responsibilities: • Develop and optimize data pipelines to support analytical and marketing-related use cases • Build, maintain, and continuously improve mission-critical data products and ensure their integration with downstream applications • Ensure reliable deployments and apply infrastructure-as-code best practices • Design and implement scalable data models aligned with business needs and contribute to improving data governance across European operations • Contribute to architectural decisions within a modern cloud-based data platform and support the development of the broader data ecosystem • Collaborate closely with stakeholders across engineering, analytics, regional markets, and business teams to deliver cross-functional solutions

Requirements

Profile: • Master’s degree in Computer Science, Software Engineering, Data Science, or related field • Minimum of 4+ years of experience in data engineering or similar roles • Experience with data manipulation and distributed systems; cloud environment experience is strongly preferred Technical Skills and Methodologies: • SQL, Spark, DBT • Python, AWS, Airflow, Terraform, Docker • CI/CD, GitHub, GitHub Actions, Kafka (nice to have) • Agile / Scrum Personal skills: Excellent communication skills, fluency in English, strong problem-solving abilities, adaptability, sense of ownership, and curiosity. Additional Information: • Occasional business travel (1–3 times per year) Diversity & Inclusion: Our partner is committed to building a diverse and inclusive working environment and is an equal opportunity employer. Diversity, Equity & Inclusion are an integral part of their business strategy and organizational culture. As part of the recruitment process and in accordance with local legislation, reference and background checks may be conducted when relevant. Candidates will be informed in advance.