At a Glance
- Tasks: Lead a dynamic team to shape our data platform and drive impactful projects.
- Company: Join Funding Circle, a fintech innovator supporting UK small businesses.
- Benefits: Enjoy flexible working, competitive salary, health perks, and personal development opportunities.
- Other info: Be part of a culture that values collaboration, learning, and inclusivity.
- Why this job: Make a real difference in the economy while growing your career in a supportive environment.
- Qualifications: Experience in data engineering and team leadership with a passion for innovation.
The predicted salary is between 75600 - 92400 £ per year.
We’re on a mission to back the UK’s small businesses like no one else. Small businesses are the backbone of the economy, and we’re here to help them win. We’ve built a platform that uses clever data to get them the funding they need in minutes, not weeks.
At Funding Circle, we have the restless energy of a fintech start-up with the stability of a public company. It’s a unique mix that gives Circlers the autonomy to take ownership and the scale to make an impact that truly counts. We’re a high-performing team that chooses to lift each other up. We challenge, we champion, and we have each other’s backs - because we know that when we stand together, we move faster and build better.
The impact is real: Last year alone, the businesses on our platform generated £7.2bn for the UK economy. Come and join a mission that matters!
The role is based in London (Hybrid) with 2 days in the office and offers a competitive salary plus benefits. You’ll make a real difference for our customers and your team from day one. We believe the fastest way to grow is by doing, so we give you the ownership to run with things and see real-time results.
We are looking for a Data Platform Engineering Manager to join our Data Platform Engineering team which sits under Tech and Data. We’re partway through a migration to a modern Snowflake-based platform, so you’ll join at a pivotal point where your decisions will shape how we work for years to come.
Reporting directly to the Head of Data Engineering, you’ll partner closely with our Technical Lead and Principal Engineer: while they drive architecture and technical patterns, you will own the delivery engine, team health, career progression, and stakeholder alignment that turns strategy into reality.
- Lead, manage, and mentor a team of data platform engineers, fostering a collaborative, innovative, and inclusive team culture.
- Champion a product mindset for internal tooling, ensuring our platform empowers domain teams to build quickly and safely without bottlenecks.
- Oversee the recruitment, onboarding, and performance management processes for the team. Set clear goals and expectations, providing regular feedback and guidance to team members.
- Oversee the planning, execution, and delivery of projects within the data platform roadmap, ensuring timely and high-quality outcomes.
- Manage the team's backlog, prioritise tasks effectively. Define and track key performance indicators (KPIs) for platform health and team delivery.
- Build strong relationships and collaborate effectively with key stakeholders, including technical and business leaders. Understand stakeholder needs and translate them into actionable requirements for the data platform.
- Communicate the team's roadmap, progress, challenges, and successes clearly and proactively to technical and non-technical audiences.
- Actively invest in the career development of your team members through coaching, mentoring, and identifying growth opportunities. Create personalised development plans and support engineers in acquiring new skills and expertise. Foster a culture of continuous learning, knowledge sharing, and technical curiosity within the team.
What we’re looking for:
- Solid understanding of modern data platform architectures (e.g. Snowflake, data mesh/lakehouse, dbt, Airflow, streaming vs. batch pipelines, data contracts).
- Proven experience managing and leading high-performing data engineering teams in a product-driven environment.
- Proven track record of mentoring and developing engineers, fostering a culture of technical excellence, innovation, and professional growth.
- Demonstrable experience in managing project delivery, including planning, prioritisation, and execution.
- Experience with Agile/Scrum methodologies.
- Excellent stakeholder management and communication skills, with the ability to engage effectively with both technical and non-technical audiences.
- Able to architect custom AI solutions and smart automated systems that are safe, maintainable, and aligned with our long-term mission.
- Act as a technical bridge and mentor, training “builders
Data Engineering Manager (Data Platform) employer: Funding Circle
At Funding Circle, we pride ourselves on being an exceptional employer that champions the growth and well-being of our employees. With a vibrant work culture that combines the agility of a fintech start-up with the stability of a public company, we offer flexible working arrangements, competitive salaries, and comprehensive benefits including health support and professional development opportunities. Join us in London, where you can make a meaningful impact while enjoying perks like barista coffee, subsidised lunches, and a strong commitment to employee welfare.
StudySmarter Expert Advice🤫
We think this is how you could land Data Engineering Manager (Data Platform)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Funding Circle!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Engineering Manager (Data Platform) at Funding Circle.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Funding Circle.
✨Apply Directly through Our Website
When you find a suitable opening like Data Engineering Manager (Data Platform) at Funding Circle, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Engineering Manager (Data Platform)
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 Funding Circle, 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 Funding Circle. 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 Funding Circle
✨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 Funding Circle!
✨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.
