Senior Software Engineer - Distributed Systems

Decentriq; Zürich; Hybrid; CHF 120.000 - 170.000; Vollzeit

Benefits dieser Stelle

Competitive salary

Remote-friendly

Distributed team in Europe

Self-development opportunities

Zusammenfassung

Decentriq in Zürich/Berlin is seeking a Senior Software / Data Engineer to own end-to-end data pipelines built in Python (pandas) and Spark, deployed in Databricks or on Spark clusters inside confidential enclaves.

The role offers fully remote options (±4h CET) or a base in our Zürich/Berlin offices, with collaboration across data scientists, Rust backend engineers, and product teams to push privacy-preserving ML for AdTech forward.

Qualifikationen

• Bachelor/Master/PhD in Computer Science, Data Engineering, or related field and 5+ years of experience.
• Expert-level Python with pandas, PySpark/Scala Spark, and distributed-data processing.
• Proven track record building resilient, production-grade data pipelines with data-quality checks.
• Experience running workloads in Databricks, Spark on Kubernetes, or other cloud/on-prem big-data platforms.
• Plus: ML lifecycle knowledge and privacy-preserving tech; Rust is a plus.
• Plus: data-platform skills like operating Spark clusters and orchestration frameworks.

Aufgaben

• Own, design & operate data pipelines based on pandas and Spark from development to production.
• Advance ML models for AdTech use-cases (look-alike, audience expansion, measurement).
• Engineer for the invisible: build validation, test coverage, and self-healing jobs.
• Collaborate with data scientists, backend engineers (Rust) and product teams.
• Leverage AI tools to improve productivity and share workflows with the team.
• Profile, benchmark, and tune Spark workloads; improve orchestration & observability.

Kenntnisse

Python

Pandas

PySpark/Scala Spark

Distributed data processing

Spark

Databricks

Kubernetes

Data quality checks

ML lifecycle

Rust (bonus)

Ausbildung

Bachelor/Master/PhD in Computer Science or related field

Tools

Databricks

Spark on Kubernetes

Airflow

Dagster

Confidential computing tooling

Jobbeschreibung

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 Software / 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.

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 Software / 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.

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) Experience running workloads in Databricks, Spark on Kubernetes, or other cloud/on-prem big-data platforms.
• (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) 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.