Senior Data Engineer — Hybrid Data Pipelines & SQL Server

Leonardo

West of England

Hybrid

GBP 65,000 - 95,000

Full time

14 days+
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Benefits offered by this job

Time to Recharge
Pension scheme
Flexible hybrid working
Continuous learning via online courses

Job summary

Leonardo UK is seeking a Senior Data Engineer to design and build secure, scalable data platforms supporting defence, government, and commercial operations. You will own data engineering solutions, mentor juniors, and work across hybrid and cloud environments.

In this role you will optimise SQL Server databases, implement security controls, and collaborate with DevOps, Data Scientists, Analysts and Cyber Consultants to deliver data-driven insights and ML deployment support.

Qualifications

  • Proven experience in data engineering with ownership of deliverables.
  • Strong Python and SQL skills; experience building and optimising data pipelines.
  • Experience with SQL Server and large, complex databases.
  • Knowledge of cloud technologies and data integration techniques.

Responsibilities

  • Design, implement and optimise data platforms and databases.
  • Collaborate with DevOps, Data Scientists and Analysts.
  • Lead small work packages and mentor junior engineers.
  • Support ML model deployment and data tooling.
  • Ensure data security, reliability and performance.

Skills

Python
SQL
Data pipelines
Cloud platforms
Problem solving
Leadership

Education

Degree in STEM or related field

Tools

Microsoft SQL Server
NoSQL
Docker
Kubernetes
Spark/NiFi

Job description

Leonardo UK is seeking a Senior Data Engineer to design and build secure, scalable data platforms supporting defence, government, and commercial operations. You will own data engineering solutions, mentor juniors, and work across hybrid and cloud environments.

In this role you will optimise SQL Server databases, implement security controls, and collaborate with DevOps, Data Scientists, Analysts and Cyber Consultants to deliver data-driven insights and ML deployment support.

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