Senior Data Engineer

Join us and take your career to the next level

Are you passionate about data engineering and eager to shape the future of cloud-based analytics and AI? Join Kalmar Digital Solutions as a Senior Data Engineer and play a critical role in building and optimizing the data platforms that power advanced analytics and AI initiatives worldwide.

As a Senior Data Engineer, you will design, implement, and manage robust data pipelines and cloud infrastructure, supporting cutting-edge AI workflows that transform global logistics and supply chains. You’ll collaborate closely with data scientists, product owners, and engineers to create scalable and efficient data architectures that drive innovation and operational excellence.

This role is based in Tampere with opportunities to engage with global teams.

What are your key responsibilities:

• Data Engineering Ownership: Own and manage end-to-end data engineering workflows, ensuring smooth data flow and processing across cloud platforms.

• Cloud Infrastructure Architecture: Architect, develop, and maintain cloud-based data infrastructure (AWS, Google Cloud), prioritizing security, availability, and performance.

• Pipeline Development & Optimization: Build and optimize scalable data pipelines that support complex analytics and AI use cases.

• Cross-Functional Collaboration: Collaborate with data scientists and stakeholders to translate data requirements into reliable, production-ready solutions.

• Data Governance & Quality: Develop and enforce data governance policies, ensuring data quality, consistency, and regulatory compliance.

• Reporting & Communication: Report progress regularly to the Head of Analytics & AI and Head of Digitalisation Solutions.

What we offer you:

"Respect is how we work — across departments, across borders, across job titles."

• Rewards that truly count: Enjoy meaningful rewards that support your everyday life and well-being, including a company mobile phone, a flexible Edenred benefit for lunch, commuting, or wellness services, and comprehensive healthcare through Mehiläinen, enhanced by our health insurance fund for additional coverage and peace of mind.

• Safety that moves us forward: Build your career with a company rooted in safety since the 1940s, ensuring stability and an environment that empowers you to speak and be heard.

• Work-life balance: We prioritise work-life balance, providing flexible working hours and a hybrid work model tailored to meet both your needs and those of your team. 

• Purpose that drives change: You'll contribute to solutions that transform global trade, creating environmental and operational innovations. You'll be in the driver's seat of ideas, developing digital technologies that set industry standards and position us as the forerunner.

• People who move together: You'll collaborate with people who build lasting relationships through global expertise, connections, and a commitment to sustainability.
  
  Become part of our global network of 5,200 professionals across 120+ countries, where your work drives innovation, sustainability, and meaningful impact around the world.

What you bring to the role:

• Education & Experience: Bachelor’s or Master’s degree in Computer Science, Engineering, Applied Mathematics, or a related field, with proven experience building and maintaining data pipelines and production-ready algorithms.

• Cloud & Programming Skills: Hands-on experience with cloud platforms such as AWS and/or Google Cloud, and strong programming skills in SQL and Python; knowledge of PySpark, Java, or similar is a plus.

• ETL & Data Modelling: Experience using ETL tools like AWS Glue or Azure Data Factory, along with best practices in data modelling.

• Version Control & Documentation: Familiarity with version control systems (Git), documentation standards, and testing methodologies.

• Analytical & Business Insight: Strong analytical mindset with the ability to understand data transformations and their impact on business outcomes.

• Adaptability & Communication: Eager to learn, adaptable, and fluent in English (written and spoken), ready to advance skills in data engineering and AI.

Ready to elevate your career? Apply today!

Submit your application and take the next step in your data engineering journey. Applications are reviewed on a rolling basis - the position will be filled once we find the right candidate.

Closing date: 31/10/2025