At a Glance
- Tasks: Lead the design and evolution of a cutting-edge enterprise data platform.
- Company: Join a leading Financial Services organisation with a remote-first culture.
- Benefits: Enjoy a competitive salary of £125,000 plus excellent benefits.
- Other info: Opportunity for ownership and visibility in a business investing heavily in its data estate.
- Why this job: Shape the future of data platforms and make a real impact in a dynamic environment.
- Qualifications: Strong leadership experience in modern data platforms and deep knowledge of Snowflake and Azure.
The predicted salary is between 125000 - 125000 € per year.
A leading Financial Services organisation is looking to appoint a Head of Data Platform Engineering to lead the design, development and ongoing evolution of its enterprise data platform. The role is offering a base salary of £125,000 plus excellent benefits. The business operates a remote-first model, with occasional travel to its London and Southeast office.
This is a senior leadership role with responsibility for a modern Azure and Snowflake environment, leading teams across platform engineering, quality and governance. You will shape the data platform roadmap, drive delivery across both strategic change and BAU, and play a key role in building a scalable, secure and high-performing data capability.
The role will suit someone who combines strong technical depth with proven leadership experience in modern data platforms. You will be expected to improve engineering standards, strengthen DataOps and CI/CD practices, drive platform optimisation and cost control, and act as a senior partner to stakeholders across technology and the wider business.
Key requirements- Strong experience leading modern data platform engineering teams
- Deep knowledge of Snowflake, Azure and cloud-based data environments
- Proven background in DataOps, DevOps, CI/CD and engineering best practices
- Experience improving platform scalability, quality, security and governance
- Ability to influence senior stakeholders and lead cross-functional delivery
- Strong people leadership skills, with experience building capable, high-performing teams
This is an excellent opportunity to join a business investing heavily in its data estate, where you will have real ownership, visibility and the chance to shape the future direction of the platform.
If you are an experienced Head of Data Platform Engineering with the required background, please respond to this advert with an up-to-date copy of your CV for review.
Head of Data Platform Engineering employer: McCabe & Barton
Join a leading Financial Services organisation that champions innovation and excellence in data management. With a remote-first work model and a competitive salary of £125,000 plus excellent benefits, you will thrive in a culture that prioritises employee growth and collaboration. This role offers the unique opportunity to shape the future of the enterprise data platform while working alongside talented professionals in a supportive environment.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Platform Engineering
✨Tip Number 1
Network like a pro! Reach out to your connections in the industry, especially those who work in financial services or data engineering. A friendly chat can lead to insider info about job openings or even referrals that could give you a leg up.
✨Tip Number 2
Show off your expertise! Prepare a portfolio or case studies showcasing your experience with Azure, Snowflake, and DataOps. This will not only demonstrate your technical depth but also your leadership skills in action.
✨Tip Number 3
Be proactive! Don’t just wait for job postings to appear. Reach out directly to companies you admire, like the one offering the Head of Data Platform Engineering role. Express your interest and share how you can add value to their team.
✨Tip Number 4
Keep it casual but professional during interviews. Be ready to discuss how you've improved engineering standards and led teams in the past. Remember, they want to see your personality shine through as much as your qualifications!
We think you need these skills to ace Head of Data Platform Engineering
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the specific skills and experiences mentioned in the job description. Highlight your leadership experience in data platform engineering, especially with Azure and Snowflake, to show us you’re the right fit.
Craft a Compelling Cover Letter:Use your cover letter to tell us why you’re passionate about this role. Share examples of how you've improved engineering standards or led successful teams in the past. This is your chance to showcase your personality!
Showcase Your Technical Skills:Don’t forget to include any relevant technical skills, especially around DataOps, CI/CD, and cloud environments. We want to see how you can drive platform optimisation and governance in your application.
Apply Through Our Website:We encourage you to apply directly through our website for a smoother process. It helps us keep track of your application and ensures you don’t miss out on any important updates from us!
How to prepare for a job interview at McCabe & Barton
✨Know Your Tech Inside Out
Make sure you brush up on your knowledge of Snowflake and Azure. Be ready to discuss specific projects where you've implemented these technologies, as well as any challenges you faced and how you overcame them.
✨Showcase Your Leadership Skills
Prepare examples that highlight your experience in leading data platform engineering teams. Think about how you've built high-performing teams and improved engineering standards, and be ready to share these stories during the interview.
✨Understand the Business Context
Research the financial services industry and understand how data platforms can drive business value. Be prepared to discuss how you can align the data platform roadmap with the company's strategic goals and stakeholder needs.
✨Prepare for Scenario-Based Questions
Expect questions that assess your problem-solving skills in real-world scenarios. Think about how you would approach platform optimisation, cost control, and improving DataOps practices, and be ready to articulate your thought process clearly.
