Decentriq hiring Lead Data Engineer - Privacy-Preserving ML Pipelines • Remote (Work from Home) | Himalayas
DecentriqDE

Lead Data Engineer - Privacy-Preserving ML Pipelines

Decentriq is a data clean room provider in Switzerland focusing on secure collaboration and data privacy, enabling businesses to utilize sensitive data without compliance risks.

Decentriq

Employee count: 51-200

Switzerland only

Decentriq is the rising leader in data-clean-room technology. With Decentriq, advertisers, retailers, and publishers securely collaborate on 1st-party data for optimal audience targeting and campaign measurement. Headquartered in Zürich, Decentriq is trusted by renowned institutions in the DACH market and beyond, such as RTL Ad Alliance, Publicis Media, and PostFinance.

Our analytics & ML pipelines are the heartbeat of this platform. Built in Python (pandas) and Apache Spark, they run either in Databricks workspaces or on our own Spark clusters deployed inside confidential-computing enclaves. We are looking for a Senior Data Engineer (≥ 80 %, start as soon as possible) to take end-to-end ownership of these pipelines, raise their resilience to the next level, and push the boundaries of privacy-preserving machine-learning for AdTech. The role can be fully remote (± 4 h CET) or based in our Zürich/Berlin office.

Would you like to help us make the advertising industry ready for the 1st-party era? Then we’d love to hear from you!

Tasks

  • Own, Design & Operate Data Pipelines – Take full responsibility for all pandas- and Spark-based pipelines, from development through production and monitoring.
  • Advance our ML Models – Improve and productionise models for AdTech use-cases such as look-a-like modelling, audience expansion, and campaign measurement.
  • Engineer for the Invisible – Because data inside confidential enclaves is literally invisible (even to root), build extra-robust validation at the data source, exhaustive test coverage, and self-healing jobs to guarantee reliability.
  • Collaborate Cross-Functionally – Work closely with data scientists, backend engineers (Rust), and product teams to ship features end-to-end.
  • AI-Powered Productivity – Leverage LLM-based code assistants, design generators, and test-automation tools to move faster and raise the quality bar. Share your workflows with the team
  • Drive Continuous Improvement – Profile, benchmark, and tune Spark workloads, introduce best practices in orchestration & observability, and keep our tech stack future-proof.

Requirements

  • (Must have) Bachelor/Master/PhD in Computer Science, Data Engineering, or a related field and 5+ years of professional experience.
  • (Must have) Expert-level Python plus solid hands-on experience with pandas, PySpark/Scala Spark, and distributed-data processing.
  • (Must have) Proven track record building resilient, production-grade data pipelines with rigorous data-quality and validation checks.
  • (Must have) Working knowledge of ML lifecycle and model serving; familiarity with techniques for audience segmentation or look-a-like modelling is a big plus.
  • (Plus) Experience running workloads in Databricks, Spark on Kubernetes, or other cloud/on-prem big-data platforms.
  • (Plus) Exposure to confidential computing, secure enclaves, homomorphic encryption, or similar privacy-preserving tech.
  • (Plus) Rust proficiency (we use it for backend services and compute-heavy client-side modules).
  • (Plus) Data-platform skills: operating Spark clusters, job schedulers, or orchestration frameworks (Airflow, Dagster, custom schedulers).

Benefits

  • Join Decentriq's Engineering team as in individual contribuor and earn growing responsibilities
  • Being able to create, shape, and benefit from a young company.
  • An amazing and fun team that is distributed all over Europe.
  • Competitive salary.
  • A lot of opportunities for self-development.

No need for a formal motivational letter. Just send your CV along with a few bullet points about why you're excited to work with us. We look forward to your application!

About the job

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Job type

Full Time

Experience level

Senior
Manager

Location requirements

Hiring timezones

Switzerland +/- 0 hours

About Decentriq

Learn more about Decentriq and their company culture.

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Decentriq is a highly innovative data clean room provider, based in Zürich, Switzerland, focusing on enabling secure data collaborations across various industries. Utilizing state-of-the-art privacy technologies, Decentriq assists enterprises in navigating the complexities of data sharing without compromising on security or compliance. Their clean rooms allow businesses to collaborate on sensitive data while maintaining strict control over their datasets and protecting user privacy.

In the rapidly evolving digital landscape, where third-party cookies are becoming a thing of the past, Decentriq offers a vital solution for companies looking to enhance their data collaboration capabilities. They are specifically tailored for industries like healthcare, finance, and media, where data sensitivity is paramount. By fostering secure environments for data analysis, Decentriq empowers organizations to unlock valuable insights, optimize targeting, and innovate without the risks typically associated with data sharing.

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Decentriq

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