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Expert Data Engineer - Focus Databricks

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Employment
Full-time — employment source
Employment type in the employer’s posting: Full time
From the employer’s posting

What you’ll work on

Full 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.

From the employer’s posting
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.

Benefits in the posting

Full benefits wording
  • Work life blend: we offer a safe & healthy workplace, with flexible working hours and, depending on client needs, the option to work from home up to three days per week
  • To dive deeper into local benefits of working in Zühlke follow the link

From the employer’s posting.

Apply at Zuehlke

Posting record

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Status in our records
Live
First seen by us
Sep 4, 202661 days ago
Recorded sightings
39
Last seen by us
Nov 4, 2026

These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.

How this job compares

Time since we first saw it

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.

Zuehlke is hiring

10 open jobs

Open jobs by the week we first saw them, last 12 weeks.

  • Hiring has slowed
  • Takes jobs down at a usual pace
  • 10% of open jobs were reposted
Hiring record

See how this role fits your experience

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.

  • Python
  • SQL
  • AWS
  • Azure
  • Databricks
  • dbt
  • Delta Lake
  • Spark
  • Airflow
Where the posting names them
- 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.

Your next step

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About the role

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.

US government figures for database architects

Median yearly pay, May 2025
$139,500
Expected change, 2025 to 2035
9.4% more jobsagainst 3.5% for all jobs

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.

Job description

View original posting ↗

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

  • 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.
  • 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.
  • 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.
  • Mentor and Share Knowledge: Support junior engineers and contribute to best practices and internal knowledge sharing, helping others grow and succeed.


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.
  • Consulting Experience: Several years in professional data engineering, ideally in client-facing roles, navigating shifting requirements and diverse stakeholders.
  • Independent Problem-Solving: Comfortable working autonomously in fast-paced, evolving environments.
  • Bilingual Communication: Fluent in German and English, able to communicate confidently with clients and colleagues.
  • Solid Technical Foundation: University degree (Uni, FH) in Computer Science, Mathematics, or a related field

What we offer

  • Work life blend: we offer a safe & healthy workplace, with flexible working hours and, depending on client needs, the option to work from home up to three days per week
  • 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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