Senior Data Engineer (m/f/d)

In this IT role, you will manage, develop, and support the technology infrastructure that powers Kuehne+Nagel’s global systems and operations. This contribution is vital to making both special and ordinary moments in the lives of people a reality. In fact, your work enables our teams to deliver fresh fruit, time-sensitive healthcare products and much more to people all around the world. Working in IT at Kuehne+Nagel contributes to more than we imagine.

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As a Senior Data Engineer (m/f/d), you will provide technical leadership, contribute to solution design, and identify technical and functional risks and opportunities. You will mentor junior team members, promote high development standards, and ensure the quality of the team's data pipelines. Working closely with others across the organization, you will help connect your team with the broader company data landscape and support effective collaboration.

How you create impact

• Lead the design, development, and delivery of scalable data pipelines and transformations, including the modernization and migration of legacy systems.
• Design and maintain scalable data models that enable efficient reporting, analytics, and data-driven decision-making.
• Establish and champion best practices across data engineering, including coding standards, testing, documentation, version control, and CI/CD.
• Develop and oversee data orchestration workflows, ensuring reliability, observability, and smooth operations.
• Collaborate with analysts, product owners, and senior stakeholders to define data strategy and deliver high-impact solutions.
• Drive continuous improvements in data quality, resolve complex technical issues, and optimize platform performance.

• Bachelor's degree in IT, Computer Science, or a related field, or equivalent practical experience, with 5+ years of experience in data engineering.
• Strong expertise in SQL, data transformation, and data modeling methodologies (e.g., dimensional modeling and Data Vault) for large-scale data warehouse environments, ideally using Snowflake.
• Hands-on experience with data transformation tools, particularly dbt, as well as version control systems (Git/GitLab), CI/CD practices, and data orchestration platforms.
• Proficiency in Python; experience with additional programming languages is an advantage.
• Proven track record of leading technical implementations, mentoring engineers, collaborating with cross-functional stakeholders, and establishing data engineering best practices.
• Strong analytical and problem-solving skills, with the ability to think strategically and communicate complex topics effectively in English.
• Experience translating business requirements into technical solutions; familiarity with Infrastructure as Code (IaC) is a plus.

Your work has a direct impact on the future of logistics and IT. Your team is made up of experts who are shaping the IT industry in Portugal and around the world. We want you to feel comfortable in our working environment, where you will be dealing with different cultures. That is why we offer flexible working hours and the opportunity to work remotely. We value teamwork, continuous learning and diversity. Kuehne+Nagel offers you a tailor-made career with individual planning and team leaders who will support you in every way. On a personal level, we support you with a wide range of work-life balance options, supplementary health insurance and our EAP - Employee Assistant Program.

Who we are

Logistics shapes everyday life - from the goods we consume to the healthcare we rely on. At Kuehne+Nagel, your work goes beyond logistics; it enables both ordinary and special moments in the lives of people around the world.

As a global leader with a strong heritage and a vision to move the world forward, we offer a safe, stable environment where your career can make a real difference. Whether we help deliver life-saving medicines, develop sustainable transportation solutions or support our local communities, your career will contribute to more than you can imagine.

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