DevOps Engineer - Data Experience – Commodities / Financial Services – Up to £140k – Hybrid, London

DevOps Engineer - Data Experience – Commodities / Financial Services – Up to £140k – Hybrid, London

London Full-Time 140000 - 140000 £ / year (est.) No working from home possible
VirtueTech Recruitment Group

At a Glance

  • Tasks: Shape and scale an enterprise data platform with cutting-edge DataOps practices.
  • Company: Leading global financial services organisation in commodities and capital markets.
  • Benefits: Up to £140k salary, bonus, and hybrid working model.
  • Other info: Collaborative environment with a focus on continuous improvement and operational excellence.
  • Why this job: Join a greenfield opportunity to drive innovation in data and AI solutions.
  • Qualifications: Experience in DataOps, CI/CD pipelines, and strong programming skills in Python and SQL.

The predicted salary is between 140000 - 140000 £ per year.

A leading global financial services organisation, operating across commodities and capital markets, is looking to hire a DevOps Engineer to play a key role in shaping and scaling its enterprise data platform. This is a greenfield opportunity within a growing Data & AI function, focused on building out a modern DataOps capability to support advanced analytics, real-time reporting, and AI-driven solutions. The organisation has significant market presence across exchange and OTC trading, and is investing heavily in its data estate to drive better insights, client outcomes, and operational efficiency.

As a DevOps Engineer, you will be responsible for defining and embedding a DataOps way of working across the business. The role will focus on enabling the reliable, automated, and scalable delivery of data and machine learning pipelines, supporting everything from core reporting and systems integration through to customer-facing AI use cases. You will work closely with Data Engineering, ML Engineering, and Analytics teams, acting as both a hands-on technical leader and strategic enabler.

You will design and implement CI/CD pipelines for data and ML workloads, ensuring controlled promotion across environments, while embedding best practices across software engineering, testing, and release management. The role will also involve defining data quality, observability, and reliability frameworks aligned to modern architectures such as Medallion (Bronze, Silver, Gold), as well as building reusable tooling, templates, and standards to drive consistency across the platform. A key part of the role will be partnering with governance, risk, and compliance teams to translate regulatory requirements into scalable engineering patterns, ensuring robust controls without slowing delivery. You will also play a central role in improving production readiness, release governance, and post-incident processes, helping to drive a culture of continuous improvement and operational excellence.

Key requirements:

  • Strong experience implementing DataOps or DevOps practices within complex data environments
  • Proven track record designing and operating CI/CD pipelines for data and analytics workloads
  • Hands-on experience with Databricks (AWS and/or Azure) in production
  • Strong programming skills in Python and SQL
  • Experience with Infrastructure as Code (e.g. Terraform)
  • Deep understanding of data reliability, observability, and data quality frameworks
  • Strong grounding in software engineering best practices and SDLC
  • Ability to operate both hands-on and at a strategic level
  • Experience working in regulated environments (financial services preferred)

Nice to have:

  • Experience with orchestration tools such as Airflow or Azure Data Factory
  • Exposure to dbt or similar transformation frameworks
  • Experience supporting ML pipelines and lifecycle management
  • Familiarity with Azure DevOps, Git-based workflows, and modern developer tooling
  • Background in commodities or derivatives trading environments

DevOps Engineer - Data Experience – Commodities / Financial Services – Up to £140k – Hybrid, London employer: VirtueTech Recruitment Group

As a leading global financial services organisation, we pride ourselves on fostering a dynamic and inclusive work culture that prioritises innovation and collaboration. Our hybrid working model allows for flexibility while you contribute to cutting-edge projects in the Data & AI space, with ample opportunities for professional growth and development. Join us in London, where you'll be part of a forward-thinking team dedicated to shaping the future of data-driven solutions in commodities and capital markets.

VirtueTech Recruitment Group

Contact Details:

VirtueTech Recruitment Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land DevOps Engineer - Data Experience – Commodities / Financial Services – Up to £140k – Hybrid, London

Network Like a Pro

Get out there and connect with people in the industry! Attend meetups, webinars, or even just grab a coffee with someone who’s already in the role you want. It’s all about making those connections that could lead to your next opportunity.

Show Off Your Skills

Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those related to DataOps or CI/CD pipelines. This will give potential employers a clear view of what you can bring to the table.

Ace the Interview

Prepare for technical interviews by brushing up on your Python, SQL, and any relevant tools like Databricks or Terraform. Practice common interview questions and be ready to discuss how you’ve tackled challenges in past roles.

Apply Through Our Website

We’ve got some fantastic opportunities waiting for you! Make sure to apply through our website for the best chance at landing that dream job. We’re here to help you every step of the way!

We think you need these skills to ace DevOps Engineer - Data Experience – Commodities / Financial Services – Up to £140k – Hybrid, London

DataOps
DevOps
CI/CD Pipelines
Databricks
Python
SQL
Infrastructure as Code

Some tips for your application 🫡

Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with DataOps, CI/CD pipelines, and any relevant programming languages like Python and SQL. We want to see how you fit into our vision!

Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about this role and how your background in financial services or commodities makes you a great fit. Let us know what excites you about working with data and AI.

Showcase Your Projects:If you've worked on any relevant projects, especially those involving Databricks or Infrastructure as Code, make sure to mention them. We love seeing practical examples of your work and how you've implemented best practices in your previous roles.

Apply Through Our Website:We encourage you to apply directly through our website for the best chance of getting noticed. It’s the easiest way for us to keep track of your application and ensure it reaches the right people. Don’t miss out on this opportunity!

How to prepare for a job interview at VirtueTech Recruitment Group

Know Your DataOps Inside Out

Make sure you understand the principles of DataOps and how they apply to complex data environments. Brush up on your experience with CI/CD pipelines, especially in relation to data and analytics workloads, as this will be a key focus during the interview.

Showcase Your Technical Skills

Be prepared to discuss your hands-on experience with tools like Databricks, Python, and SQL. Bring examples of projects where you've implemented Infrastructure as Code using Terraform or similar tools, as this will demonstrate your technical prowess and problem-solving abilities.

Understand Regulatory Requirements

Since the role involves working in regulated environments, it’s crucial to show that you can translate regulatory requirements into scalable engineering patterns. Familiarise yourself with common compliance issues in financial services and be ready to discuss how you've navigated these in past roles.

Emphasise Continuous Improvement

Talk about your experience in driving a culture of continuous improvement and operational excellence. Share specific examples of how you've improved production readiness, release governance, or post-incident processes in previous positions to highlight your strategic mindset.