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.
As a Data Architect (m/f/d), you’ll join our Data & Analytics platform team to define and maintain standards and best practices across our modern data stack (AWS, Snowflake, dbt, Python, Streamlit, GitLab, Dagster). You’ll work across multiple Analytical Data Product teams within our Data Mesh, ensuring consistency, quality, and scalability, design frameworks, support teams in building high-quality data pipelines, and help bridge technical gaps across the data platform.
- Define and enforce best practices and standards for data pipelines, models, and tools. Own the overall analytics platform architecture.
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Build and maintain reusable frameworks and utilities (dbt, Python, Snowflake, Streamlit) to speed up delivery across teams.
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Review code across teams, identify risks and improvements, and provide clear, actionable feedback to ensure quality and consistency.
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Support solution design with product teams, translating business needs into solid technical decisions and documenting trade-offs.
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Mentor engineers, raise technical standards, and document key architectural decisions to share knowledge across the organization.
What we would like you to bring
- Bachelor’s degree in IT (or equivalent) with 8+ years in data, analytics, or BI roles.
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Strong SQL skills, including complex transformations and data modeling (dimensional, data vault), especially in Snowflake.
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Experience with dbt, Git/GitLab, CI/CD, and data orchestration tools (Dagster preferred).
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Proficiency in Python or another programming language; Python for data engineering is a plus.
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Hands-on experience with AWS, including designing data architectures.
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Ability to lead technical discussions, mentor engineers, and collaborate with diverse stakeholders.
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Strong analytical, problem-solving, and communication skills in English; able to translate business needs into technical solutions.
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Experience with Streamlit, logistics domain knowledge, and tools like Flyway, MacOS/WSL, or infrastructure-as-code is a plus.
You will have a direct influence on the future of logistics and IT. Your colleagues are experts who shape the IT industry in Portugal and worldwide. We want you to feel comfortable in your working surroundings. Therefore, we are offering you flexible working hours and mobile working arrangements. We value teamwork, continuous learning, and diversity. Kuehne+Nagel offers you a custom-made career – through individual planning and supervisors who support and advise you in every way. You get supported by many work-life balance offerings and supplementary health insurance.
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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