Data Platform Engineer - Database & Infrastructure
Qube Research & Technologies - Paris
Posted Jan 20, 2026
Benefits
- Parental leave
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- Non-birth-parent leave
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- Family-building benefits
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- Fertility benefits: Not verified
- Adoption assistance: Not verified
- Surrogacy assistance: Not verified
- Mental health support
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- Relocation assistance
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- Childcare support
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- Learning budget
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- Verification
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- Salary
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- 401(k) match
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Schedule
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- Weekend work
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Application
- Cover letter
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- Assessment
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- Deadline
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Where they hire
State eligibility is not yet verified.
About this role
Data Platform Engineer - Database & Infrastructure Paris Qube Research & Technologies (QRT) is a global quantitative and systematic investment manager, operating in all liquid asset classes across the world. We are a technology and data driven group implementing a scientific approach to investing. Combining data, research, technology and trading expertise has shaped QRT's collaborative mindset which enables us to solve the most complex challenges. QRT's culture of innovation continuously drives our ambition to deliver high quality returns for our investors. We operate one of the most demanding data infrastructures in finance, supporting mission-critical distributed systems across multiple database and streaming platforms, with strict requirements around availability and performance. Our environment spans both on-prem infrastructure and AWS, with a strong focus on standardization, automation, and Kubernetes-based orchestration. We are looking for an experienced Data Platform Engineer to join our DevOps team in Paris. This role is fully on-site , with a strong focus on ensuring the reliability and scalability of our production data infrastructure. Your future role within QRT: This role sits at the intersection of data engineering and infrastructure engineering, focused on building reliable, scalable, and high-performance data platforms. Your responsibilities will include: - Ensuring reliability and performance of production data systems (ClickHouse, CockroachDB, Trino, etc.) - Designing and operating database clusters on Kubernetes (via operators) - Building and maintaining data pipelines (ingestion, transformation, replication) - Driving Infrastructure-as-Code practices (Terraform, Helm) - Operating storage and data platforms across on-prem (VAST) and AWS (S3, EMR, MSK, RDS, EKS) - Managing
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