Data Engineer Python (Remote)

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 Data Platforms and data-driven solutions for customers in many different industries. As an Advanced Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines. Your technical expertise and strong methodology help you bring your projects and clients to success.

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

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

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

You have a university degree (Uni, FH) in computer science, software engineering, data science, or a comparable education.

At least 3 years in data or software engineering positions.

An understanding of common approaches to data analysis, data visualization, and optionally data science so you can produce the right data for data consumers.

Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing).

Hands‑on skills or a keen interest in technologies as Apache Spark, Delta Lake, Airflow, Kafka, Kubernetes, Terraform, FastAPI, and/or programming languages (Python, Scala, SQL, R).

Experience with agile development, DevOps methodologies and AI-augmented software engineering.

Fluency in both German and English is required for this position.

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

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.

we can make the world better We believe that technology can make a positive difference to society, and you’ll be proud of the kind of projects we make possible.

Take a look at our life at Zühlke page to learn more about our culture and what it's like to work at Zühlke. Our podcast series explores some of our own colleagues personal experiences working in Software & Hardware Engineering, Data & AI, UX, Cloud, Digital Consulting and beyond. In each episode you’ll get top tips on navigating challenges like: how to become an expert communicator in tech and innovation projects.