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Employment type in the employer’s posting: Full timeFrom the employer’s posting
Design, implement and maintain data pipelines
Develop, test and monitor distributed data processing pipelines
Act as a trusted advisor guiding clients to technical data solutions
Produce high quality, reproducible datasets at scale
Explain proposed solutions to technical and non-technical stakeholders
designing, implementing, and maintaining data pipelines
Developing, testing, and monitoring distributed data processing pipelines.
Being a trusted advisor, guiding our customers towards a successful technical solution to their data challenges.
Extrapolating versatile data sets and sources to produce high quality, reproducible datasets in a scalable and maintainable way.
Communicating the “what”, “why” and “how” of proposed solutions to technical and non-technical stakeholders.
Fluency in both German and English is required for this position.
At least 3 years in data or software engineering positions
You have a university degree (Uni, FH) in computer science, software engineering, data science, or a comparable education.
Experience with Cloud Data Platforms like Databricks, Microsoft Fabric, Snowflake or Amazon Sagemaker.
Hands-on experience with both relational and non-relational databases.
From the employer’s posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 50
Similar jobs usually come down between day 5 and day 54.
From 10,736 similar postings that came down. Coming down is not always a hire.
10 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- Experience with Cloud Data Platforms like Databricks, Microsoft Fabric, Snowflake or Amazon Sagemaker. - 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). - Hands-on experience with both relational and non-relational databases.
- Foundational knowledge of a variety of approaches to data architectures (e.g. Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing) - Experience with Cloud Data Platforms like Databricks, Microsoft Fabric, Snowflake or Amazon Sagemaker. - 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).
Complete your application on zuehlke.wd3.myworkdayjobs.com. The employer’s form will show what is required.
Already applied? Track this application
Yes. We’ve followed 2 other Advanced Data Engineer jobs there since May 2026. One came down after 4 days. One is still up.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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 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 an Advanced Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines. You work closely with clients to understand their data needs and realise tailored solutions that drive business insights. Your technical expertise and strong methodology help you bring your projects and clients to success.
How you’ll make an 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.
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.
What’s important to us
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
Experience in designing, building, and maintaining high quality productive 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.
Foundational knowledge of a variety of approaches to data architectures (e.g. Data Lake, Data Lakehouse, Medallion, Data Products, streaming, batch processing)
Experience with Cloud Data Platforms like Databricks, Microsoft Fabric, Snowflake or Amazon Sagemaker.
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).
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, DevOps methodologies and AI-augmented software engineering.
Fluency in both German and 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 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.
To dive deeper into local benefits of working in Zühlke follow the link.
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.
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Vienna
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