Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Shape and scale an enterprise data platform for advanced analytics and AI-driven solutions.
- Company: Leading global financial services organisation with a strong market presence.
- Benefits: Up to £140k salary, bonus, and hybrid working model.
- Other info: Collaborative environment focused on continuous improvement and operational excellence.
- 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.
As a DataOps Architect, 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.
London – Hybrid working (3 days in office) Up to £140,000 base salary + bonus
- 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
- Deep understanding of data reliability, observability, and data quality frameworks
- Strong grounding in software engineering best practices and SDLC
- Experience working in regulated environments (financial services preferred)
- Experience with orchestration tools such as Airflow or Azure Data Factory
- Exposure to dbt or similar transformation frameworks
- Familiarity with Azure DevOps, Git-based workflows, and modern developer tooling
If you are interested in this DataOps Architect role, please apply with your latest CV or reach out directly to toby@virtuetech.
DataOps Architect - Commodities / Financial Services - Up to £140k - Hybrid, London in City of London employer: VirtueTech Recruitment Group
Contact Detail:
VirtueTech Recruitment Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land DataOps Architect - Commodities / Financial Services - Up to £140k - Hybrid, London in City of London
✨Tip Number 1
Network like a pro! Reach out to people in the industry, attend meetups, and connect with potential colleagues on LinkedIn. You never know who might have the inside scoop on job openings or can refer you directly.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your DataOps projects, CI/CD pipelines, and any cool stuff you've built. This gives employers a tangible look at what you can do beyond just your CV.
✨Tip Number 3
Prepare for interviews by brushing up on your technical knowledge and soft skills. Practice common interview questions related to DataOps and be ready to discuss your experience with tools like Databricks and Airflow.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace DataOps Architect - Commodities / Financial Services - Up to £140k - Hybrid, London in City of London
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the DataOps Architect role. Highlight your experience with CI/CD pipelines, data reliability, and any relevant tools like Databricks or Airflow. We want to see how your skills match 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 in complex data environments. This helps us understand your hands-on experience better!
Be Clear and Concise: When writing your application, keep it clear and to the point. Use bullet points for key achievements and avoid jargon unless it's relevant. We appreciate straightforward communication that gets right to the heart of your experience.
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. Plus, it shows you're keen on joining our team at StudySmarter!
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, especially in complex data environments. Be ready to discuss your hands-on experience with CI/CD pipelines and how you've implemented them in past roles.
✨Showcase Your Technical Skills
Prepare to demonstrate your programming skills in Python and SQL. You might be asked to solve a problem or explain how you've used these languages in your previous projects, so have some examples ready.
✨Familiarise Yourself with Tools
Get comfortable with the tools mentioned in the job description, like Databricks, Airflow, and Azure Data Factory. If you’ve worked with dbt or similar frameworks, be prepared to share your experiences and how they contributed to your projects.
✨Understand Regulatory Requirements
Since this role involves working in regulated environments, brush up on how you've translated regulatory requirements into engineering patterns. Be ready to discuss how you ensure compliance without slowing down delivery.