At a Glance
- Tasks: Shape and scale enterprise data platforms for advanced analytics and AI-driven solutions.
- Company: Leading global financial services organisation with a strong market presence.
- Benefits: Up to £140k salary, hybrid working, and performance bonuses.
- Other info: Collaborative environment with opportunities for continuous improvement and career growth.
- Why this job: Join a greenfield opportunity to drive innovation in DataOps and make a real impact.
- 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 DataOps Architect 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.
Responsibilities
- Define and embed a DataOps way of working across the business.
- Enable the reliable, automated, and scalable delivery of data and machine learning pipelines.
- Work closely with Data Engineering, ML Engineering, and Analytics teams.
- Design and implement CI/CD pipelines for data and ML workloads.
- Define data quality, observability, and reliability frameworks aligned to modern architectures.
- Partner with governance, risk, and compliance teams to translate regulatory requirements into scalable engineering patterns.
- Improve production readiness, release governance, and post-incident processes.
Location & Compensation
London – Hybrid working (3 days in office) Up to £140,000 base salary + bonus
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.
If you are interested in this DataOps Architect role, please apply with your latest CV or reach out directly to toby@virtuetech.io.
DataOps Architect – 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 empowers our employees to thrive. With a strong focus on innovation and professional development, we offer exceptional growth opportunities within our expanding Data & AI function, alongside competitive compensation and a hybrid working model that promotes work-life balance. Join us in London to be part of a transformative journey in shaping the future of data-driven solutions in the commodities and capital markets sector.
Contact Details:
VirtueTech Recruitment Group Recruitment Team
StudySmarter Expert Advice🤫
We think this is how you could land DataOps Architect – Commodities / Financial Services – Up to £140k – Hybrid, London
✨Tip Number 1
Network like a pro! Reach out to folks in the industry, attend meetups, and connect with people on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Prepare for interviews by practising common questions and scenarios related to DataOps. Think about how your experience aligns with the role and be ready to showcase your skills in Python, SQL, and CI/CD pipelines.
✨Tip Number 3
Don’t just apply anywhere; focus on companies that excite you! Use our website to find roles that match your skills and interests, and tailor your approach to each one.
✨Tip Number 4
Follow up after interviews! A quick thank-you email can go a long way in keeping you top of mind. Mention something specific from the conversation to show your genuine interest.
We think you need these skills to ace DataOps Architect – Commodities / Financial Services – Up to £140k – Hybrid, London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV is tailored to the DataOps Architect role. Highlight your experience with DataOps practices, CI/CD pipelines, and any relevant programming skills. We want to see how your background aligns with what we're looking for!
Showcase Your Projects:Include specific projects where you've implemented DataOps or DevOps practices. We love seeing real-world examples of your work, especially if they relate to data reliability and observability. This helps us understand your hands-on experience!
Be Clear and Concise:When writing your application, keep it clear and concise. Use bullet points for easy reading and make sure to highlight key achievements. We appreciate straightforward communication that gets to the point!
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, especially in financial services. Prepare examples of CI/CD pipelines you've designed and operated, as this will show your hands-on experience.
✨Showcase Your Technical Skills
Since the role requires strong programming skills in Python and SQL, be prepared to demonstrate your proficiency. You might be asked to solve a problem or explain your approach to a specific task, so practice coding challenges beforehand to keep your skills sharp.
✨Understand the Business Context
Familiarise yourself with the commodities and capital markets landscape. Understanding the regulatory environment and how it impacts data operations will help you articulate how you can add value to the organisation. This knowledge will also help you connect your technical skills to business outcomes.
✨Prepare for Cultural Fit Questions
This role is about driving a culture of continuous improvement and operational excellence. Be ready to discuss how you've contributed to such a culture in previous roles. Think of examples where you've partnered with teams to improve processes or enhance data quality, as this will resonate well with the interviewers.
