Data Analytics Engineer (m/w/d)

Kuehne+Nagel is a global leader in the logistics industry, transforming supply chains for some of the world’s most influential businesses. We are proud to be the No. 1 sea and air freight forwarder worldwide, offering tailored logistics solutions that are both impactful and sustainable. With our global reach, we have unparalleled access to the people, data, and insights necessary to adopt advanced technologies and deliver future-ready solutions. We remain committed to balancing innovation with the diverse technologies that power our operations, ensuring we meet the demands of today and tomorrow. Every day, we go above and beyond to meet the needs of our customers, ensuring that our solutions not only meet their expectations but also contribute to a more sustainable world.

Your Role

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.

Your Responsibilities

• 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.
  
  

Your Skills And Experiences

• 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.
  
  

Good Reasons to Join

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.