At a Glance
- Tasks: Transform and model data using SQL and Python to optimise workflows.
- Company: Join Lendable, a fast-growing fintech revolutionising credit solutions.
- Benefits: Enjoy competitive pay, equity options, and flexible remote work.
- Other info: Collaborative culture with opportunities for personal and professional growth.
- Why this job: Be part of a dynamic team shaping the future of finance with cutting-edge technology.
- Qualifications: Experience in SQL/Snowflake and modern Python development is essential.
The predicted salary is between 56700 - 69300 £ per year.
We'd love for you to become a key part of our Python Infrastructure team; a collaborative group that's always pushing the boundaries of what's possible. This role sits at the intersection of analytics engineering and Python-based data engineering. You’ll work on transforming and modelling data using SQL and dbt, while also leveraging Python to build data workflows, automate processes, and build tools to optimise day to day work. No two days look the same here. We're building something great, and we're looking for the right people to grow with us. If that sounds like you, we can't wait to hear from you.
Our Tech Stack
You’ll work with a modern data stack centred around Snowflake, dbt and Python.
What we’re looking for
- Experience working with SQL/Snowflake or other modern data platforms
- Strong, modern Python development experience
- Some experience building and maintaining data pipelines, ETL processes, or data-intensive backend services
- A collaborative working style and clear communication across technical and non-technical stakeholders
- A keen desire to want to learn and input into a highly collaborative team
- If you’ve worked in a cross functional environment, it would be a plus but not needed
Interview process
- A quick phone call with one of the team
- A short coding exercise to complete in your own time
- Technical Video Interview for 60 mins
- Culture interview for 30mins
- Final Interview
About Lendable
Lendable is on a mission to build the world's best technology to help people get credit and save money. Founded in 2014, profitable since 2017, unicorn in 2021, backed by Balderton, Goldman Sachs and Ontario Teachers' Pension Plan. Loved by customers & employees with top reviews on Glassdoor and Trustpilot. So far, we’ve rebuilt the big three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days. We’re growing fast, and there’s a lot more to do. We’re going after the two biggest Western markets (UK and US) where trillions are held by big banks with dated systems and painful processes.
Life at Lendable
- The opportunity to scale up one of the world’s most successful fintech companies
- Best-in-class compensation, including equity
- You can work from home every Monday and Friday if you wish - on the other days we all come together IRL to be together, build and exchange ideas
- Our in-house chefs prepare fresh, healthy lunches in the office every Tuesday-Thursday
- We care for our Lendies’ well-being both physically and mentally, so we offer coverage when it comes to private health insurance
- We're an equal opportunity employer and are keen to make Lendable the most inclusive and open workspace in London
Analytics Engineer in London employer: Lendable Ltd
Lendable is an exceptional employer located in the vibrant city of London, offering a dynamic work culture that fosters innovation and collaboration. As a Growth Leader in Direct Mail & CRM, you will have access to extensive employee growth opportunities, including hands-on data work and strategic leadership roles, all while being part of a team that values creativity and data-driven decision-making. With a focus on meaningful impact and a commitment to professional development, Lendable stands out as a rewarding place to advance your career.
StudySmarter Expert Advice🤫
We think this is how you could land Analytics Engineer 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 Lendable Ltd!
✨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 Analytics Engineer at Lendable Ltd.
✨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 Lendable Ltd.
✨Apply Directly through Our Website
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We think you need these skills to ace Analytics Engineer 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 Lendable 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 Lendable 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 Lendable 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 Lendable 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.
