Senior Data Engineer (m/f/d)

As one of the world's leading logistics companies, we have opened a new IT Hub in Porto, Portugal. Our goal is to accelerate digital technologies for our global customers, focusing on the development of new mission-critical products, e-solutions and new digital services in accordance with the strategy of Kuehne+Nagel. Join our fascinating and international working environment and be part of the team responsible for the further development of our digital logistics processes.

Your Role

As a Senior Data Engineer (m/f/d), you'll provide technical leadership, participate in solution design, and analyze technical/functional risks and opportunities. You will mentor junior team members, uphold high development standards, and ensure the quality of pipelines developed by the team. Collaboration is key; you'll bridge technical gaps between your team and others within the data mesh architecture.

Your Responsibilities

• Lead the design, development, and implementation of scalable data pipelines and transformations, including architecting and overseeing migration from legacy systems.
• Design and implement robust, scalable data models optimized for performance and analytical flexibility.
• Establish and enforce team best practices for data engineering, modeling, coding, testing, documentation, version control, and CI/CD pipelining.
• Develop and manage complex data orchestration workflows, to ensure reliability and monitoring.
• Collaborate with BI developers, analysts, product owners, and senior stakeholders to define data strategy and deliver impactful solutions.
• Drive data quality initiatives and lead troubleshooting and performance tuning efforts to optimize data quality.
• Mentor junior and mid-level engineers, contributing to the company's Data Mesh architecture, applying Agile methodologies, and staying current with industry trends.
  
  

Your Skills And Experiences

• Possesses a Bachelor's IT degree or equivalent experience, with over 5 years in data engineering, analytics engineering, or BI development.
• Demonstrates deep expertise in SQL, complex data transformations, and data modeling (dimensional, data vault) for large-scale data warehouses, particularly Snowflake.
• Exhibits extensive experience with data transformation tools (especially dbt), version control (Git/GitLab), CI/CD practices, and data orchestration tools (Dagster preferred).
• Proficient in at least one programming language (Python preferred).
• Proven ability to lead technical implementations, mentor engineers, collaborate with diverse stakeholders, and define team best practices.
• Strong analytical, strategic thinking, problem-solving, communication, and presentation skills in English.
• Experienced in translating business rules into technical definitions; familiarity with MacOS/WSL, Flyway, and infrastructure-as-code is a plus.
• Strong proficiency in Python for data engineering tasks and automation is a plus.
  
  

Good Reasons to Join

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.