Data Engineer (m/f/d) Porto

Overview

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. Your work enables our teams to deliver goods and services to people around the world. Working in IT at Kuehne+Nagel contributes to more than we imagine.

As a Data Engineer, you will join our BI team to design and maintain
- based data pipelines using SQL, dbt, Python, Snowflake, Git
Lab, and Dagster. You will work on an Analytical Data Product within a Data Mesh framework, with full ownership and direct business impact. This role involves applying an analytical mindset to understand business needs, working independently, managing risks, providing technical feedback, and ensuring pipelines are reliable, scalable, and of the highest quality.

Responsibilities

• Designs, develops, tests, and maintains scalable data transformation pipelines.
• Collaborates with BI developers, analysts, and stakeholders to translate requirements into technical solutions, implementing transformations based on business rules.
• Develops and implements data models optimized for BI, ensuring accuracy and performance.
• Champions and contributes to automated data documentation and cataloguing, utilizing version control (Git
  Lab) and contributing to CI/CD processes.
• Implements and monitors data orchestration workflows (Dagster) and data quality checks.
• Optimizes query performance and data pipeline efficiency.
• Assists senior roles in mentoring junior team members, contributes to the company's Data Mesh architecture, and applies Agile methodologies.

Qualifications

• Bachelor’s degree in IT (or equivalent experience) with 2 - 5+ years in data engineering, analytics engineering, or a similar role.
• Advanced SQL skills, including complex queries and data modelling for data warehouses and BI.
• Hands-on experience with ETL/ELT processes and tools; dbt experience is a strong plus.
• Proficiency in at least one programming language (Python preferred, including data manipulation and automation) and experience with cloud data warehouses (ideally Snowflake).
• Familiar with version control systems (Git/Git
  Lab) and Agile development practices.
• Experience applying data quality rules, setting up monitoring alerts, utilizing orchestration tools, and translating business requirements into technical solutions; knowledge of Mac
  OS/WSL is a plus.
• Strong analytical,
  - solving, and communication skills in English, with the ability to manage risks and drive personal growth.
• Experience migrating data pipelines from legacy systems is an advantage.

What’s in it for you

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 offer flexible working hours and mobile working arrangements. We value teamwork, continuous learning, and diversity. Kuehne+Nagel provides a
- made career path with support from supervisors,
- life balance offerings, and supplementary health insurance.

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. We offer a safe, stable environment where your career can make a real difference, contributing to
- saving medicine delivery, sustainable transportation solutions, and support for local communities.

We kindly advise that placement agencies refrain from submitting unsolicited profiles. Any submissions of candidates without prior signed agreement will be considered our property and no fees will be paid.

Seniority level

• Mid-Senior level

Employment type

• Full-time

Job function

• Information Technology and Engineering

Industries

• Transportation, Logistics, Supply Chain and Storage

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