At a Glance
- Tasks: Lead the evolution of our data platform and unlock data value across the organisation.
- Company: Join a fast-growing fintech that blends startup agility with enterprise stability.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with excellent career advancement in a collaborative environment.
- Why this job: Make a real impact by driving AI-driven innovation and scalable data solutions.
- Qualifications: Strong data engineering skills and experience in leading teams.
The predicted salary is between 66150 - 80850 £ per year.
An exciting opportunity has arisen for a Data Platform Lead to join a fast-growing fintech organisation that combines the agility of a startup with the backing of a well-established enterprise business.
In this key leadership role, you'll own the evolution of the data platform, helping to unlock the value of data across the organisation and laying the foundations for advanced analytics and AI-driven innovation.
Working closely with the Head of Data, engineering teams, analytics professionals and business stakeholders, you will lead the delivery, reliability and continuous improvement of the data platform.
This is a hands-on leadership role, combining technical delivery with people management, giving you the opportunity to influence both technology strategy and team development.
Key Responsibilities
- Lead the delivery and ongoing evolution of the organisation's data platform.
- Own and maintain the data platform roadmap, balancing business priorities, technical debt, resilience and future platform capabilities.
- Design, build and maintain scalable data pipelines, reusable datasets and robust data models.
- Establish engineering best practices around code quality, testing, documentation, deployment, monitoring and operational support.
- Ensure platform services are secure, reliable, scalable and cost-effective.
- Enable analytics engineering through trusted, well-modelled and documented datasets that support reporting and self-service analytics.
- Build the foundations for AI-ready data, including governance, lineage, discoverability, access controls and data quality monitoring.
- Partner with analytics, product, engineering and business teams to deliver scalable technical solutions.
- Act as an escalation point for complex data engineering challenges and production issues.
- Line manage and mentor a team of three Data Engineers, supporting their development and performance.
About You
You will be a technically strong and commercially aware Data Platform Lead who enjoys balancing strategic thinking with hands-on delivery.
You'll be passionate about building reliable and scalable data solutions while supporting and developing engineering talent.
- Strong technical leadership and hands-on data engineering expertise.
- Excellent stakeholder management and communication skills.
- A collaborative approach and the ability to work across technical and non-technical teams.
- Experience balancing new delivery, operational support, platform resilience and continuous improvement.
- The confidence to make pragmatic decisions around scalability, governance, security and cost.
- Strong hands-on experience in data engineering and modern data platforms.
- Proven experience designing, building and supporting production-grade data pipelines and reusable data models.
- Strong SQL and software engineering fundamentals.
- Experience with cloud-based data platforms, orchestration tooling and CI/CD practices.
- Strong understanding of data quality, monitoring, testing, documentation and operational support.
- Experience setting technical standards and reviewing engineering outputs.
- Knowledge of data governance, lineage, discoverability and AI-ready data foundations.
- Experience coaching, mentoring or managing engineers.
- Strong prioritisation and stakeholder management skills.
- Experience with platforms such as Databricks, Snowflake, Big Query, Azure or AWS.
- Experience using data transformation and orchestration tools.
- Background within regulated industries or financial services.
- Experience with data governance, security controls and access management.
- Exposure to analytics, machine learning or operational data products.
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Data Platform Lead in Cardiff employer: Sanderson
At Sanderson, we pride ourselves on being an excellent employer, offering a dynamic work culture that fosters collaboration and innovation in the heart of Belfast. Our commitment to employee growth is evident through tailored development programmes and opportunities for advancement, ensuring that our team members thrive in their careers while enjoying competitive rewards and a strong focus on health and safety compliance. Join us to take ownership of impactful projects and be part of a supportive environment that values your contributions.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Lead in Cardiff
✨Get Involved in Data Science Meetups
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We think you need these skills to ace Data Platform Lead in Cardiff
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 Sanderson, 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 Sanderson. 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 Sanderson
✨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!
✨Showcase Your Projects
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 Sanderson!
✨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.
