At a Glance
- Tasks: Lead data modelling strategies and implement innovative features to optimise data usability.
- Company: Join Funding Circle, a fintech powerhouse supporting UK small businesses.
- Benefits: Flexible work, competitive salary, health perks, and a dedicated learning allowance.
- Other info: Be part of a top-rated workplace with excellent career growth opportunities.
- Why this job: Make a real impact on the economy while growing your career in a supportive team.
- Qualifications: Expertise in SQL, Python, dbt, and cloud data warehousing is essential.
The predicted salary is between 60000 - 75000 £ 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:
- Location: London (Hybrid) | 2 days in the office | Competitive Salary + 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.
- Owns the data modelling strategy, sets standards for data modelling, transformations, and governance.
- Leads the design and implementation of new features, such as the creation of a new star schema and other best practices to optimise data usability.
- Sets best practices and standards on how we use SQL, dbt, Python, Pyspark and/or other languages to solve business problems.
- Becomes an expert in the business subject area the team are working on, holding expertise on both the business requirements as well as the technical implementation.
- Delivers high quality code, provides technical mentorship and ensures the team is building scalable, maintainable data models.
- Co-owns the backlog with the Engineering Manager and helps to break down technical requirements.
What we’re looking for:
- Extensive experience in SQL, Python, Pyspark and/or other languages relevant to data processing.
- Extensive experience in dbt and ideally Airflow (or other orchestration tools).
- Extensive experience in Entity-Relationship modelling and Dimensional modelling.
- Experience with Cloud Data Warehousing (e.g. Snowflake, Databricks or BigQuery) and Cloud (AWS, GCP or Azure).
- Familiarity with Tableau.
- Excellent communication and problem solving skills and the ability to translate business requirements into technical requirements.
- 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
Senior Analytics Engineer / Tech Lead in London employer: Funding Circle
At Funding Circle, we pride ourselves on being an exceptional employer that champions the growth and well-being of our employees. Located in the vibrant heart of London, we offer a flexible work environment that combines the energy of a fintech start-up with the stability of a public company, ensuring you have the autonomy to make a real impact. With competitive salaries, comprehensive benefits, and a strong focus on personal development, we empower our team members to thrive both professionally and personally while contributing to a mission that truly matters.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Analytics Engineer / Tech Lead 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 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 Senior Analytics Engineer / Tech Lead 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 Senior Analytics Engineer / Tech Lead 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 Senior Analytics Engineer / Tech Lead 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 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.
