Senior Data Engineer & People Lead

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.

The Role

Zühlke is internationally recognized for expertise in developing Machine Learning 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.

For instance, we help our customers standardize and automate manual data manipulation through a holistic approach to data problems: through processes, technology and people. We help them understand and build the most valuable use cases for their organization, which will advance their competitive advantage or solve internal efficiency challenges.

This is where you come in.

Important: To ensure a smooth review process, please submit all application documents (CV, cover letter) in English only.

How you’ll make impact

• Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.   

• Communicating the what, why and how of proposed solutions to technical and non-technical stakeholders.  

• Mastering the big data world whilst developing, testing, and monitoring distributed data processing pipelines.   

• Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.   

• Collaborating with other data roles such as Architects, Software Engineers and Data Scientists with ease.   

• Understanding the needs of many types of producers and consumers for our data services, ensuring our products meet their requirements.  

• Delivering projects in an Agile way, building iteratively to produce value from data early and frequently.  

• Keeping yourself technically sharp, being open to learning new concepts and technologies.  

• Leading a team of passionate engineers, helping them grow and develop

What is important to us

• You have a degree in computer science, software engineering or a comparable education (e.g. mathematics).

• Several years in software development or data 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, machine learning and data visualisation 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)  

• In addition to your knowledge of Python and SQL, you ideally have hands-on skills or a keen interest in such technologies as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes, and Java or .NET 

• You have a good understanding of the possibilities of large public cloud environments and preferably have already used Amazon AWS, MS Azure or Google's GCP clouds 

• Hands-on experience with databases both relational and NoSQL.  

• 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.).  

• Working knowledge of containerization and public and private Cloud environments.  

• Knowledgeable about information security and data governance.  

• Excellent and practical data programming skills with experience in different programming languages like Java or Python.  

• You have experience delivering projects to deadlines, with an emphasis on quality, ideally in client facing contexts.  

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 16 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.

How to Apply

Please note: Applications must be submitted in English only to be considered.

For benefits that we offer please go to this link and have a look.

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.