Senior Data Engineer

Senior Data Engineer

Zühlke is internationally recognized for expertise in developing Data Platforms and data-driven solutions for customers in many different industries. We are investing heavily in global growth in AI & Data. We believe that Data will have a positive impact on our society and environment. Data allows us to address urgent yet unsolved problems in a broad range of fields, from specific applications within organizations to problems of global significance.

As a Senior Data Engineer, you will play a central role in designing, implementing, and maintaining robust data pipelines, ensuring they are both technically excellent and business-driven. With strong hands-on Python engineering skills, you will translate complex requirements into scalable, reproducible solutions that empower our clients with actionable insights.

How you'll make impact:

• Serve as a trusted advisor, guiding clients towards effective technical solutions to their data challenges.
• Design, develop, and optimize distributed data processing pipelines, with Python at the core.
• Apply software engineering best practices in Python—including testing, modularity, code reviews, and documentation—to build maintainable solutions.
• Create high-quality, reproducible datasets from diverse data sources in a scalable way.
• Collaborate seamlessly with Architects, Software Engineers, and Data Scientists to deliver integrated solutions.
• Understand the requirements of different producers and consumers of data services, tailoring outputs to their needs.
• Deliver iteratively in an Agile environment, ensuring value from data is realized early and often.
• Stay sharp technically, continuously learning and applying new concepts and technologies.

What's important to us:

• You have a university degree in computer science, software engineering, data science or a comparable education.
• At least 3 years in data or software engineering positions
• Experience of designing, building and maintaining data products that meet the needs of data consumers.
• An understanding of common approaches to data analysis, data visualization, and optionally data science so you can produce the right data for data consumers.
• Experience with a variety of approaches to data architectures (e.g. Data Lake, Data Mesh, Data Warehouse, streaming, batch processing)
• Experience with Cloud Data Platforms like Databricks, Microsoft Fabric or Amazon Sagemaker.
• Practical data programming skills in Python and SQL.
• Hands-on skills or a keen interest in such technologies as Apache Spark, Airflow, Kafka, Kubernetes, and Java, Typescript or.NET.
• Hands-on experience with both relational and non-relational databases.
• Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data volumes.
• Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time-series, geospatial, image, etc.).
• Experience with agile development and DevOps methodologies.
• Fluency in English is required for this position.

What we offer:

• Work life blend: we offer a safe & healthy workplace, with flexible working hours and the possibility to work from home

• Profit share scheme: In addition to your annual salary, you may receive a profit share defined by the company's success in the previous year

• Global and Diverse Zühlke community: witness how colleagues from all our 17 offices across the globe come together to create a unique, positive and inclusive work culture, learning from one another at annual team camps, and celebrating year-end parties and other local festivities.

• Committed to development: we are committed to the growth of our people and are investing in your development. We're empowering you to build the skills you need to make a positive impact, both personally and for our clients, today and in the future.

We welcome people from all backgrounds, regardless of their gender, personality, national origin, race, religion, color, sexual orientation, gender identity, age, marital status, disability or veteran status.