Data Engineer

About Swisslog

Swisslog is shaping the future of intralogistics. As part of the KUKA Group, we are the forefront of technology that is changing the world. Serving some of the biggest and most exciting brands across the globe, we're a team working together to transform intralogistics with smart minds and fresh perspectives. With our flexible, robotics and data-driven automated solutions, we are powering the supply chain and taking the industry forward.

Are you looking for an exciting new challenge - one where you can really make a difference Are you passionate and keen to share your expertise internationally Step forward and discover Swisslog! We are offering a talented individual the opportunity to join our incredible team and get the most of their potential - could it be you

Objectives

Our Enterprise Service IT department develop and deliver IT solutions that are used across multiple platforms and countries. As a Data Engineer, you will be part of our international BI & Analytics competence team. The team has an internal consulting function within the KUKA Group for all KUKA entities and countries. Our focus is the implementation of appropriate reporting/analytical/planning solutions and to support our internal customers with key user training or any kind of reporting/data processing related questions.

Make an impact

• Design and implement scalable data pipelines/models using Azure Data Factory, Airflow, dbt and Databricks
• Collaborate with cross-functional teams to understand data requirements and translate them into technical solutions
• Ensure data quality, consistency, and governance across all stages of the data lifecycle
• Version control and CI/CD integration using GIT, DevOps
• Support the development of reporting solutions based on transactional and IoT data
• Monitor and optimize data workflows for performance and cost-efficiency

What you need to succeed

• Degree in Business Information Technology, Mathematics or Data Science with a highly technical orientation
• At least 5 years specific work experience
• Strong hands-on experience with Databricks, PySpark, Python, Azure Data Factory, dbt core, Airflow, GIT, Azure DevOps, Docker, Terraform
• Solid understanding of data modeling, ETL/ELT processes, and data warehousing concepts
• Experience working with transactional & IoT data
• Proficiency in SQL and Python, familiarity with cloud-based data platforms (Azure, CI/CD, Docker, Kubernetes)
• Strong problem-solving skills and a collaborative mindset
• Very good written and verbal communication skills in English (German is a plus)

Our promise to you

Swisslog provides you with the possibility to grow while working with us to deliver a game changing mission: to shape the future of intralogistics by introducing an era of robotic and data-driven automated solutions that create exceptional customer value. We are proud of our Swiss roots, while the opportunities we offer stretch across the globe. In return, we offer you the chance to be part of the driving force behind solutions that are shaping the future, while we are develop the leaders that will shape ours.