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: Competitive salary of £125,000 plus excellent benefits and remote work flexibility.
- 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 80000 - 100000 £ 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 in Slough 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, this role offers you the chance to lead transformative projects while enjoying a supportive work culture that prioritises employee growth and collaboration. You'll have the opportunity to shape the future of the enterprise data platform, making a significant impact in a dynamic environment that values your expertise and leadership.
StudySmarter Expert Advice🤫
We think this is how you could land Head of Data Platform Engineering in Slough
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We think you need these skills to ace Head of Data Platform Engineering in Slough
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at McCabe & Barton, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at McCabe & Barton. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at McCabe & Barton
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
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Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at McCabe & Barton!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
