Senior Data Pipeline Engineer, Decentriq

Freelance

Salary not provided

Python

Scala

Airflow

Rust

Spark

Senior and Expert level

Berlin

Remote from Europe, UK

More information about location

Providing data clean rooms for secure confidential computing

Be an early applicant

Providing data clean rooms for secure confidential computing

21-100 employees

B2BEnterpriseAnalyticsSaaSCyber SecurityCloud ComputingData Sharing

Be an early applicant

Salary not provided

Python

Scala

Airflow

Rust

Spark

Senior and Expert level

Berlin

Remote from Europe, UK

More information about location

21-100 employees

B2BEnterpriseAnalyticsSaaSCyber SecurityCloud ComputingData Sharing

Company mission

To provide a neutral ground for secure data collaboration.

Job

Company

Role

Who you are

(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 and PySpark/Scala Spark experience
(Must have) Proven track record building resilient, production-grade data pipelines with rigorous data-quality and validation checks
(Must have) Data-platform skills: operating Spark clusters, job schedulers, or orchestration frameworks (Airflow, Dagster, custom schedulers)
(Plus) Working knowledge of ML lifecycle and model serving; familiarity with techniques for audience segmentation or look-a-like modelling is a big plus
(Plus) Rust proficiency (we use it for backend services and compute-heavy client-side modules)

What the job involves

We are looking for a Senior Data Pipeline Engineer freelancer (≥ 80 %, start as soon as possible) for 6 months (possible conversion into FTE) to support our team during a crunch time driven by customer demand
Own, Design, Build & Operate Data Pipelines – Take responsibility for our Spark-based pipeline, from development through production and monitoring
Advance our ML Models – Improve and productionise models for AdTech use-cases such as lookalike modelling and demographics modeling
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

Application process

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!

Our take

Decentriq is an enterprise SaaS platform providing a neutral ground for secure data collaboration, enabling collaboration opportunities for a range of worldwide enterprises.

As the winners of Microsoft Switzerland’s “Swiss Startup of the Year 2022”, Decentriq is the favoured clean data room platform of many pharmaceutical companies, the European Space Agency, and the Swiss Military. As more industries further evolve into more data-driven services, access to confidential datasets from trusted sources unlocks new value, revolutionising new business segments and key industries.

Its impressive funding has been used to develop and commercialise its encryption and privacy-enhancing technologies and expand the types of analytical tools available on the platform, all while growing its team across key international markets.

Steph

Company Specialist at Welcome to the Jungle

Insights

6% employee growth in 12 months

Glassdoor (4.4)

Company

Company HQ

Escher Wyss, Zürich, ZH

Leadership

Maximilian Groth

(Co-Founder & CEO)

Founder & President of the HSG Alumni Technology Club. Previously worked in Business Development at Teralytics and serves on the Label Expert Committee for Swiss Digital Initiative.

Stefan Deml

(Co-Founder & CTO)

Co-Founder of SmargeTech. Previously worked as a Big Data Engineer before being promoted to VP of Product Development & Tech Lead at Teralytics, and contributed to the nonprofit organization Ethereum Foundation as a cryptography engineer.

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