At a Glance
- Tasks: Lead the engineering of a Snowflake-based data platform and mentor fellow engineers.
- Company: Join Funding Circle's innovative Data Platform team.
- Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving data innovation.
- Why this job: Shape the future of data products and collaborate with talented data professionals.
- Qualifications: Experience in data engineering, architecture, and CI/CD practices.
The predicted salary is between 67500 - 82500 £ per year.
Funding Circle’s Data Platform team is building a Snowflake‑based platform and migrating to a federated \"Data as a Product\" model.
This role will lead the engineering of that platform, shaping architecture, RBAC, ingestion, orchestration (Airflow) and CI/CD.
You’ll mentor engineers, establish standards, and partner with data scientists, analysts and AI agents to enable safe, scalable data products across the business.
Lead Data Platform Engineer - Snowflake & Data as a Product in London employer: Fundingcircle
Funding Circle is an exceptional employer that fosters a dynamic and collaborative work culture in the heart of London. With a strong focus on employee growth, we offer comprehensive training and mentorship opportunities, allowing you to thrive in your role as a Senior SME Financing & Funding Specialist. Our hybrid working model promotes flexibility, while our commitment to innovation ensures you have access to cutting-edge tools and resources to excel in building meaningful partnerships with SME clients.
StudySmarter Expert Advice🤫
We think this is how you could land Lead Data Platform Engineer - Snowflake & Data as a Product in London
✨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 Fundingcircle!
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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 Lead Data Platform Engineer - Snowflake & Data as a Product at Fundingcircle.
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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 Fundingcircle.
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We think you need these skills to ace Lead Data Platform Engineer - Snowflake & Data as a Product in London
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 Fundingcircle, 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 Fundingcircle. 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 Fundingcircle
✨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 Fundingcircle!
✨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.
