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Employment type in the employer’s posting: Full timeFrom the employer’s posting
Build Pipelines That Last: Design, build, and maintain scalable, reliable data pipelines and ETL/ELT processes that run smoothly and require minimal firefighting.
Own the Infrastructure: Set up and maintain cloud infrastructure using infrastructure-as-code and CI/CD practices, ensuring reproducibility and reliable deployments.
Optimize for Performance and Cost: Continuously improve data processing for speed and efficiency, balancing technical elegance with cost-effectiveness.
Understand the Real Problem: Collaborate with clients to uncover their true needs, translating business requirements into robust technical solutions. You’re comfortable challenging assumptions to ensure we solve the right problems. Build Pipelines That Last: Design, build, and maintain scalable, reliable data pipelines and ETL/ELT processes that run smoothly and require minimal firefighting. Architect on Databricks: Lead the architecture and implementation of data platforms on Databricks, leveraging Delta Lake, workflows, and cluster management to deliver solutions that fit the client’s scale and budget.
Architect on Databricks: Lead the architecture and implementation of data platforms on Databricks, leveraging Delta Lake, workflows, and cluster management to deliver solutions that fit the client’s scale and budget. Own the Infrastructure: Set up and maintain cloud infrastructure using infrastructure-as-code and CI/CD practices, ensuring reproducibility and reliable deployments. Champion Data Quality: Make data quality, governance, and security a priority from the start, not an afterthought.
Champion Data Quality: Make data quality, governance, and security a priority from the start, not an afterthought. Optimize for Performance and Cost: Continuously improve data processing for speed and efficiency, balancing technical elegance with cost-effectiveness. Collaborate Across Disciplines: Work closely with data scientists, analysts, and software engineers to build integrated, high-impact data platforms.
From the employer’s posting.
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Day 61
Up longer than most. 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.
- Deep Databricks Expertise: Hands-on experience with Databricks, Delta Lake, Spark, workflows, jobs, and Unity Catalog. You know when Databricks is the right tool—and when it isn’t. - Strong SQL and Python Skills: You use these daily and write clean, maintainable code. - Modern Cloud & Data Architecture Knowledge: Proficient with Azure and/or AWS, and familiar with lakehouse and data warehousing approaches.
- Strong SQL and Python Skills: You use these daily and write clean, maintainable code. - Modern Cloud & Data Architecture Knowledge: Proficient with Azure and/or AWS, and familiar with lakehouse and data warehousing approaches. - Pipeline Orchestration Experience: Skilled with tools like Airflow, Databricks Workflows, or dbt for structuring and scheduling maintainable pipelines.
The Role Are you passionate about transforming raw, messy data into valuable, reliable solutions? Do you thrive at the intersection of deep technical expertise and client-focused consulting? Zühlke is looking for an Expert Data Engineer specializing in Databricks and modern data platforms to join our team. How you'll make Impact
- Build Pipelines That Last: Design, build, and maintain scalable, reliable data pipelines and ETL/ELT processes that run smoothly and require minimal firefighting. - Architect on Databricks: Lead the architecture and implementation of data platforms on Databricks, leveraging Delta Lake, workflows, and cluster management to deliver solutions that fit the client’s scale and budget. - Own the Infrastructure: Set up and maintain cloud infrastructure using infrastructure-as-code and CI/CD practices, ensuring reproducibility and reliable deployments.
What's important to us - Deep Databricks Expertise: Hands-on experience with Databricks, Delta Lake, Spark, workflows, jobs, and Unity Catalog. You know when Databricks is the right tool—and when it isn’t. - Strong SQL and Python Skills: You use these daily and write clean, maintainable code.
- Modern Cloud & Data Architecture Knowledge: Proficient with Azure and/or AWS, and familiar with lakehouse and data warehousing approaches. - Pipeline Orchestration Experience: Skilled with tools like Airflow, Databricks Workflows, or dbt for structuring and scheduling maintainable pipelines. - Software Engineering Discipline: Clean code, infrastructure-as-code, CI/CD, and DevOps are part of your standard toolkit.
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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
Are you passionate about transforming raw, messy data into valuable, reliable solutions? Do you thrive at the intersection of deep technical expertise and client-focused consulting? Zühlke is looking for an Expert Data Engineer specializing in Databricks and modern data platforms to join our team.
How you'll make Impact
What's important to us
What we offer
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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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Eschborn
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