Senior Data Platform Engineer — Build & Scale Data Systems

Setec Alpha

Greater London

On-site

GBP 90,000 - 150,000

Full time

38 hours ago
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Job summary

Setec Alpha, based in London, is seeking a Data Engineer to design and develop data-intensive platforms and scalable software solutions. You will own data pipelines and contribute to building robust, observable infrastructure in a fast-paced hedge fund environment.

The role emphasizes end-to-end ownership, collaboration, and adherence to high engineering standards across architecture, testing, and CI/CD.

Qualifications

  • 5+ years of professional software development experience.
  • Experience designing and operating data-intensive, distributed systems.
  • Experience with relational, NoSQL, and columnar databases.
  • Hands-on, end-to-end ownership of systems and responsibilities.
  • Ability to work in a dynamic environment with multiple projects.

Responsibilities

  • Design, develop, and maintain software using Python.
  • Follow high engineering standards across architecture, implementation, testing, and CI/CD.
  • Focus on data quality, reliability, and operational simplicity in data and software systems.
  • Enhance and maintain legacy systems including microservices, ETL pipelines, and Excel add-ins.
  • Collaborate with team members, participate in code reviews and problem solving.
  • Develop infrastructure management including IaC and disaster recovery.
  • Improve observability: logging, monitoring, alerting, health checks.
  • Manage Windows and Linux environments, diagnose network/system issues.
  • Maintain databases: backups, replication, reliability.
  • Provide technical support to maintain platform reliability.
  • Monitor system health and respond to ad hoc queries.

Skills

Python
Distributed systems
Data platforms
Databases
CI/CD
DevOps
Excel add-ins

Tools

Excel add-ins
SQL

Job description

Setec Alpha, based in London, is seeking a Data Engineer to design and develop data-intensive platforms and scalable software solutions. You will own data pipelines and contribute to building robust, observable infrastructure in a fast-paced hedge fund environment.

The role emphasizes end-to-end ownership, collaboration, and adherence to high engineering standards across architecture, testing, and CI/CD.

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