Senior Data Engineer

Founded in Switzerland in 1968, Zühlke is owned by its partners and located across Europe and Asia. We are a global transformation partner, with engineering and innovation in our DNA. We're trusted to help clients envision and build their businesses for the future – to run smarter today while adapting for tomorrow’s markets, customers, and communities. Our multidisciplinary teams specialise in tech strategy and business innovation, digital solutions and applications, and device and systems engineering. We excel in complex, regulated spaces including health and finance, connecting strategy, tech implementation, and operational services to help clients become more effective, resilient businesses.

If you share our values and want to do the best work, for the right reasons, we can offer you the chance to do it on a global scale and play a real role in shaping our exciting journey.

Job Description – Senior Data Engineer

The role

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 organisations to problems of global significance.

As a 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 5 years in data or software engineering positions, with a focus on cloud-native data services.

· Experience with variety of approaches to data architectures (e.g. Data Lake, Data Mesh, Data Warehouse, ETL pro-cessing)

· Experience building robust event driven ETL solutions on AWS using Spark within Glue to handle large-scale datasets.

· Practical data programming skills in Python and SQL.

· Orchestrating workflows using Step function, Airflow.

· Experience in Data modelling, performance monitoring and optimization.

· Hands-on experience architecting scalable data solutions across AWS Redshift, Postgres, relational, and NoSQL data-bases.

· Optimizing for both real-time operational transactions (OLTP) and complex analytical processing (OLAP).

· Familiarity with big data infrastructures and concepts for storing and processing large and/or heterogeneous data vol-umes.

· Practical knowledge of handling varied types of structured and unstructured data (text, tabular, graph, time-series, geo-spatial, image, etc.).

· Experience with managing project timelines, risks, and deliverables, alongside strong stakeholder management skills to facilitate clear communication, expectation setting, and decision‑making.

· Experience with agile development and DevOps methodologies.

· Strong written and verbal communication skills, with the ability to clearly articulate technical concepts and progress to both business and technical stakeholders. 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 celebrat-ing 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.

If you feel you don't meet all the requirements, we are still happy to get to know you, learn more about your ambitions and ideas and look forward to receiving your application!  

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