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Day 36
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Schlieren
Live, first seen by us 36 days agoEmployment type in the employer’s posting: Full timeFrom the employer’s posting
Design, test and monitor distributed data processing pipelines
Access diverse data sources efficiently and reproducibly
Work with data scientists on creating machine learning models
Estimate performance and cost for various use cases
Build dashboards that visualise processed data
You design, test, and monitor distributed data processing pipelines.
You access diverse data sources efficiently and reproducibly.
You work closely with data scientists in the creation of machine learning models.
You perform performance and cost estimations for various use cases.
You develop and create meaningful dashboards to visualize processed data.
have gathered several years of experience in technical roles
Fluency in both German and English is required for this position.
Along with your expertise in Python and SQL
You are comfortable with Big Data, massively scalable databases, cloud infrastructures, and distributed algorithms.
You hold a university degree (ETH, Uni, FH) in Computer Science, Mathematics, or a similar field.
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 36
Similar jobs usually come down between day 5 and day 54.
From 10,733 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.
- You have a passion for sustainable software development and have gathered several years of experience in technical roles. - Along with your expertise in Python and SQL, you ideally have hands-on experience or a strong interest in technologies such as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes, and Java or .NET - You have a good understanding of the capabilities in large public cloud environments and may have used resources from Amazon AWS, MS Azure, or Google’s GCP.
- Along with your expertise in Python and SQL, you ideally have hands-on experience or a strong interest in technologies such as Hadoop, Apache Spark, Hive, Airflow, RDBMS, NoSQL, DevOps, Kubernetes, and Java or .NET - You have a good understanding of the capabilities in large public cloud environments and may have used resources from Amazon AWS, MS Azure, or Google’s GCP. - You hold a university degree (ETH, Uni, FH) in Computer Science, Mathematics, or a similar field.
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 one other Senior Data Engineer job there since May 2026. It came down after 19 days.
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
As a Senior Data Engineer, you are a key player in designing, implementing, and maintaining data pipelines and architectures. 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
What’s important to us
What we offer
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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Schlieren
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