D

Decentriq Tech Stack

Confidential data collaboration platform for regulated industries

Data Infrastructure and Analytics Zürich, Zürich 11–50 employees Founded 2019 Privately Held

Decentriq operates a data clean room built on trusted execution environments and multiparty computation, enabling enterprises to collaborate on sensitive data across organizational boundaries. The tech stack (Python, Spark, Databricks, Kubernetes, Rust, Airflow, Dagster) reflects a data-heavy engineering operation; the active project list — spanning ML pipelines for adtech, validation in confidential enclaves, and identity solutions — shows the company is moving beyond abstract privacy infrastructure toward production workloads in high-velocity industries like media and advertising.

Tech Stack 12 technologies

Core StackPython pandas Apache Spark Databricks Kubernetes Rust Apache Airflow Dagster Scala PySpark JavaScript Google Ad Manager

What Decentriq Is Building

◆Challenges

Raising pipeline resilience
Privacy-preserving machine-learning
Crunch time driven by customer demand
Data validation in confidential enclaves

▲Active Projects

Spark-based data pipeline
Server-to-server integrations with adtech ecosystem
Ml models for adtech
Data pipeline ownership and resilience
Ml model production for look-a-like modelling
Validation and self-healing jobs in confidential enclaves
Ml models for lookalike and demographics
Llm-based code assistants and test automation
Dmp and identity solution (oneid)
Adserver integrations (gam, xandr)

Hiring Activity

Accelerating6 roles · 3 in 30d

Department

Engineering

5

Data

1

Seniority

Senior

6

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About Decentriq

Decentriq is a confidential data collaboration platform that enforces compliance and control through advanced privacy technologies, allowing enterprises in media, healthcare, banking, and the public sector to unlock value from data too sensitive to share openly. Founded in 2019 and headquartered in Zürich, the company operates a small, senior-heavy engineering team focused on building and scaling data pipelines within confidential compute environments. Current initiatives span adtech integrations (Google Ad Manager, Xandr), ML model production for lookalike modeling and audience segmentation, and a proprietary DMP and identity solution.

HeadquartersZürich, Zürich

Company Size11–50 employees

Founded2019

Hiring MarketsSwitzerland

Frequently Asked Questions

What tech stack does Decentriq use?

Decentriq uses Python, pandas, Apache Spark, Databricks, Kubernetes, Rust, Apache Airflow, Dagster, Scala, PySpark, and JavaScript. The stack emphasizes data orchestration and distributed compute for pipeline resilience.

What is Decentriq working on?

Active projects include Spark-based data pipelines, adtech ecosystem integrations (Google Ad Manager, Xandr), ML models for lookalike and demographic modeling, validation in confidential enclaves, and a proprietary DMP and identity solution called OneID.

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