Purpose of the role
To build and maintain the systems that collect, store, process, and analyse data, such as data pipelines, data warehouses and data lakes to ensure that all data is accurate, accessible, and secure.
Accountabilities
Analyst Expectations
All colleagues will be expected to demonstrate the Barclays Values of Respect, Integrity, Service, Excellence and Stewardship – our moral compass, helping us do what we believe is right. They will also be expected to demonstrate the Barclays Mindset – to Empower, Challenge and Drive – the operating manual for how we behave.
Join us as a Data Engineer, to support the stability and continuous improvement of our core technology platforms. You’ll be part of a collaborative team that ensures systems operate reliably, while helping to identify, investigate, and resolve technical issues across a modern IT environment.
This role sits within a fast-paced technology function where you will contribute to maintaining and supporting applications and infrastructure across a range of platforms. You’ll work with colleagues to troubleshoot issues, interpret system behaviour, and support improvements that enhance performance and resilience. Your contributions will help ensure smooth day-to-day operations and support ongoing technology change across the organisation. This is an opportunity to build your technical knowledge while developing practical experience in a supportive and learning-focused environment.
At Barclays, we value curiosity, collaboration, and continuous learning. You’ll benefit from working with experienced colleagues, gaining exposure to a range of technologies, and having the opportunity to develop your skills over time.
To be successful as a Technology Engineer, you should have experience with:
A basic understanding of IT systems, including operating systems, networks, databases, and cloud fundamentals.
Experience using scripting languages such as Python, PowerShell, Bash or Groovy to support automation and problem-solving.
Exposure to troubleshooting approaches, including working with logs, error messages, and monitoring tools, and the ability to break down technical issues and identify possible causes.
Some other highly valued skills may include:
Experience with Infrastructure as Code approaches.
Familiarity with Configuration Management tools and practices.
Exposure to containerisation technologies and concepts.
You may be assessed on the key critical skills relevant for success in this role, such as risk and controls, change and transformation, business acumen, strategic thinking and digital and technology, as well as job-specific technical skills.
This role will be based in Edinburgh.
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Based on 1,298 disclosed Data & ML salaries on RoleSuite, the role pays a median of $165K/year, with most offers between $128K and $209K (10th–90th percentile: $107K–$246K).
See the full Data & ML salary breakdown →