At a Glance
- Tasks: Lead a team to shape and deliver a modern data platform using Snowflake.
- Company: Join Funding Circle Ltd., a leader in innovative financial solutions.
- Benefits: Competitive salary, flexible working options, and career development opportunities.
- Other info: Collaborative culture with a focus on team health and cross-functional partnerships.
- Why this job: Make a real impact by driving high-quality outcomes in a dynamic environment.
- Qualifications: Experience in data engineering and strong leadership skills.
The predicted salary is between 66150 - 80850 £ per year.
Funding Circle Ltd. is looking for a Data Platform Engineering Manager to lead a team within the Data Platform Engineering group, reporting to the Head of Data Engineering. You’ll shape the delivery engine, career progression, and stakeholder alignment as the migration to a modern Snowflake-based platform continues. You’ll own delivery, team health, and cross-functional collaboration with tech and product partners, driving high-quality outcomes while enabling rapid internal tooling and safe.
Data Platform Manager — Lead Hybrid London Team employer: Funding Circle Ltd.
At Funding Circle, we pride ourselves on being an exceptional employer that champions the growth and success of our employees. With a vibrant work culture in London, we offer flexible working arrangements, competitive salaries, and a comprehensive benefits package that includes health and wellness support, professional development opportunities, and a collaborative environment where every team member is valued. Join us to make a meaningful impact on the UK economy while enjoying a fulfilling career in a supportive and dynamic fintech setting.
StudySmarter Expert Advice🤫
We think this is how you could land Data Platform Manager — Lead Hybrid London Team
✨Get Involved in Data Science Meetups
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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 Ltd..
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We think you need these skills to ace Data Platform Manager — Lead Hybrid London Team
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 Ltd., 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 Ltd.. 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 Ltd.
✨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 Ltd.!
✨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.