Decentriq
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.
Senior Data Pipeline Engineer – Freelance
🔥 0 minutes ago
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Decentriq
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, build, and operate Spark-based data pipelines from development through production and monitoring • Improve and productionise ML models for AdTech use cases such as lookalike modelling and demographics modeling • Leverage LLM-based code assistants, design generators, and test-automation tools to improve speed and quality • Share AI-powered productivity 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 and PySpark/Scala Spark experience • Proven track record building resilient, production-grade data pipelines with rigorous data-quality and validation checks • Data-platform skills operating Spark clusters, job schedulers, or orchestration frameworks such as Airflow, Dagster, or custom schedulers • Working knowledge of ML lifecycle and model serving is a plus • Familiarity with audience segmentation or lookalike modelling is a plus • Rust proficiency is a plus
🏖️ Benefits
• Competitive rates • Ownership instead of simply an executor • An amazing and fun team that is distributed all over Europe • Possible conversion into FTE after the 6-month freelance engagement • No need for a formal motivational letter
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