Senior Software Engineer – Distributed Systems

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Decentriq

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

🏥 Healthcare

📣 Marketing

📦 Logistics

💰 $5M Debt Financing on 2022-11

Healthcare • Marketing • Logistics

Decentriq is a technology company that specializes in secure data collaboration through data clean rooms. It enables organizations to unlock insights from first-party data without compromising privacy, catering to industries such as advertising and healthcare. Decentriq focuses on privacy-preserving analytics, allowing data partners to collaborate securely and compliantly across different sectors.

📋 Description

• Own, design, and operate all pandas- and Spark-based data pipelines from development through production and monitoring • Improve and productionise ML models for AdTech use cases including look-a-like modelling, audience expansion, and campaign measurement • Build robust data-source validation, exhaustive test coverage, and self-healing jobs for data inside confidential-computing enclaves • Collaborate with data scientists, Rust backend engineers, and product teams to ship features end-to-end • Leverage LLM-based code assistants, design generators, and test-automation tools; share workflows with the team • Profile, benchmark, and tune Spark workloads • Introduce best practices in orchestration and observability • Keep the technology stack future-proof

🎯 Requirements

• Bachelor/Master/PhD in Computer Science, Data Engineering, or a related field • 5+ years of professional experience • Expert-level Python • Solid hands-on experience with pandas, PySpark/Scala Spark, and distributed-data processing • Proven track record building resilient, production-grade data pipelines with rigorous data-quality and validation checks • Experience running workloads in Databricks, Spark on Kubernetes, or other cloud/on-prem big-data platforms • Working knowledge of ML lifecycle and model serving (plus) • Familiarity with audience segmentation or look-a-like modelling (plus) • Exposure to confidential computing, secure enclaves, homomorphic encryption, or similar privacy-preserving technology (plus) • Rust proficiency (plus) • Data-platform skills including operating Spark clusters, job schedulers, or orchestration frameworks such as Airflow, Dagster, or custom schedulers (plus)

🏖️ Benefits

• Competitive salary • A lot of opportunities for self-development • Ability to create, shape, and benefit from a young company • Amazing and fun team distributed all over Europe • Growing responsibilities as an individual contributor • No need for a formal motivational letter