At a Glance
- Tasks: Shape and scale a cutting-edge enterprise data platform in a dynamic financial services environment.
- Company: Join a leading global financial services organisation with a strong market presence.
- Benefits: Earn up to £140,000 plus bonuses, with hybrid working options.
- Other info: Collaborate with top teams in a culture of continuous improvement and operational excellence.
- Why this job: Make a real impact by driving advanced analytics 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 Data Platform 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 Data Platform 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
Data Platform Engineer – 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 employee growth. Our hybrid working model allows for flexibility while collaborating with top-tier professionals in the commodities and capital markets sector, providing ample opportunities to shape cutting-edge data solutions. With competitive compensation and a commitment to continuous improvement, we empower our Data Platform Engineers to thrive in a greenfield environment, driving impactful change and enhancing client outcomes.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Engineer – 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 works in data or financial services. You never know who might have the inside scoop on job openings or can refer you directly.
✨Show Off Your Skills
Don’t just talk about your experience; demonstrate it! Create a portfolio showcasing your projects, especially those involving DataOps or CI/CD pipelines. Share your GitHub or any relevant work during interviews to really impress the hiring managers.
✨Tailor Your Approach
When you’re reaching out to potential employers, make sure to tailor your message. Highlight how your skills in Python, SQL, and data reliability align with their needs. A personalised approach shows you’ve done your homework and are genuinely interested.
✨Apply Through Our Website
We encourage you to apply through our website for the best chance at landing that Data Platform Engineer role. It streamlines the process and ensures your application gets the attention it deserves. Plus, we love seeing candidates who take that extra step!
We think you need these skills to ace Data Platform Engineer – Commodities / Financial Services – Up to £140k – Hybrid, London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV speaks directly to the job description. Highlight your experience with DataOps, CI/CD pipelines, and any relevant tools like Databricks or Terraform. We want to see how your skills align with what we're looking for!
Showcase Your Projects:Include specific examples of projects where you've implemented data solutions or improved processes. This helps us understand your hands-on experience and how you can contribute to our Data & AI function.
Keep It Clear and Concise:We appreciate clarity! Use bullet points and avoid jargon where possible. Make it easy for us to see your qualifications at a glance. Remember, less is often more when it comes to written applications.
Apply Through Our Website:Don’t forget to apply through our website! It’s the best way for us to receive your application and ensures you’re considered for the role. We can’t wait to see what you bring to the table!
How to prepare for a job interview at VirtueTech Recruitment Group
✨Know Your DataOps Inside Out
Make sure you brush up on your DataOps and DevOps practices. Be ready to discuss how you've implemented these in complex data environments before. Highlight specific examples where you've designed and operated CI/CD pipelines for data and analytics workloads.
✨Show Off Your Technical Skills
Prepare to demonstrate your hands-on experience with tools like Databricks, Python, and SQL. You might be asked to solve a technical problem or explain your approach to building data pipelines, so practice articulating your thought process clearly.
✨Understand the Business Context
Familiarise yourself with the commodities and financial services landscape. Knowing how your role as a Data Platform Engineer fits into the bigger picture will impress interviewers. Be ready to discuss how you can contribute to improving client outcomes and operational efficiency.
✨Emphasise Collaboration and Governance
Since you'll be working closely with various teams, highlight your experience in cross-functional collaboration. Discuss how you've partnered with governance, risk, and compliance teams in the past to ensure robust controls while maintaining delivery speed.
