Data Analytics Engineer (m/w/d)

It's more than a job

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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We are seeking a talented and motivated Analytics Engineer to join our team. The ideal candidate will have a strong background in data engineering, analytics, and a passion for turning data into actionable insights. Experience with Snowflake and DBT is essential, while familiarity with Python is advantageous.

How you create impact

• Data Pipeline Development: Design, build, and maintain scalable data pipelines to support analytics and reporting needs.
• Data Integration: Integrate data from various sources, ensuring data quality and consistency.
• Data Modeling: Develop and maintain data models to support business intelligence and analytics.
• Data Analysis: Perform data analysis to derive actionable insights and support decision-making.
• Collaboration: Work closely with data analysts, data architects, and other stakeholders to understand data requirements and deliver solutions.
• Performance Optimization: Optimize data processing and storage for performance and cost-efficiency.
  
  

What we would like you to bring

• Education: Bachelor’s degree in Computer Science, Engineering, or a related field.
• Experience: 3+ years of experience in data engineering, analytics, or a related role.
• Technical Skills: Proficiency in SQL, Snowflake, and DBT or any other data pipeline tool. Experience with cloud platforms (e.g., AWS, GCP, Azure) is a plus. Familiarity with Python and the Dagster tool is advantageous.
• CI/CD: Experience with continuous integration and continuous deployment (CI/CD) practices and tools.
• BI Tools: Experience with business intelligence tools like Tableau and SAP BusinessObjects (BO) is welcomed.
• Language Skills: High level of written and spoken English is required to work effectively in an international team.
• Attitude: A positive, can-do attitude and a proactive approach to problem-solving.
• Analytical Skills: Strong problem-solving skills and the ability to analyze complex data sets. Excellent communication skills and the ability to work collaboratively in a team environment.
  
  

What's in it for you

Join Kuehne+Nagel’s IT Hub in Tallinn, where your work will have a meaningful impact on the logistics industry. Here, you’ll find a hybrid work model, extensive health benefits, and a culture of continuous learning that ensures your career growth. You’ll be surrounded by extraordinary and committed people, all dedicated to shaping the future of logistics.

Even if you don’t tick every box, we encourage you to apply — your unique perspective and experience could be exactly what we need. Be part of a team that values work-life balance, supports your personal well-being, and empowers you to contribute to something truly impactful.

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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