Analytics Engineer

Updraft. Helping you make changes that pay off.

Updraft is an award winning, FCA-authorised, high-growth fintech based in London. Our vision is to revolutionise the way people spend and think about money, by automating the day to day decisions involved in managing money and mainstream borrowings like credit cards, overdrafts and other loans.

• A 360 degree spending view across all your financial accounts (using Open banking)
• A free credit report with tips and guidance to help improve your credit score
• Native AI led personalised financial planning to help users manage money, pay off their debts and improve their credit scores
• Intelligent lending products to help reduce cost of credit
  

We have built scale and are getting well recognised in the UK fintech ecosystem.

• 800k+ users of the mobile app that has helped users swap c £500 m of costly credit-card debt for smarter credit, putting hundreds of thousands on a path to better financial health
• The product is highly rated by our customers. We are rated 4.8 on Trustpilot, 4.8 on the Play Store, and 4.4 on the iOS Store
• We are selected for Technation Future Fifty a program that recognizes and supports successful and innovative scaleups to IPOs - 30% of UK unicorns have come out of this program.
• Updraft once again featured on the Sifted 100 UK startups - among only 25 companies to have made the list over both years 2024 and 2025
  

We are looking for exceptional talent to join us on our next stage of growth with a compelling proposition - purpose you can feel, impact you can measure, and ownership you'll actually hold. Expect a hybrid, London-hub culture where cross-functional squads tackle real-world problems with cutting-edge tech; generous learning budgets and wellness benefits; and the freedom to experiment, ship, and see your work reflected in customers' financial freedom. At Updraft, you'll help build a fairer credit system.

Role and Responsibilities

• Join our Analytics team to deliver cutting edge solutions.
• Support business and operation teams on making better data driven decisions by ingesting new data sources, creating intuitive dashboards and producing data insights
• Build new data processing workflows to extract data from core systems for analytic products
• Maintain and improve existing data processing workflows.
• Contribute to optimizing and maintaining the production data pipelines, including system and process improvements
• Contribute to the development of analytical products and dashboards with integration of internal and third-party data sources/ APIs
• Contribute to cataloguing and documentation of data

• Bachelor's degree in mathematics, statistics, computer science or related field
• 2-5 years experience working in data engineering/analyst and related fields
• Advanced analytical framework and experience relating data insight with business problems and creating appropriate dashboards
• Mandatory required high proficiency in ETL, SQL and database management
• Experience with AWS services like Glue, Athena, Redshift, Lambda, S3
• Python programming experience using data libraries like pandas and numpy etc
• Interest in machine learning, logistic regression and emerging solutions for data analytics
• You are comfortable working without direct supervision on outcomes that have a direct impact on the business
• You are curious about the data and have a desire to ask "why?"

Good to have but not mandatory required:

• Experience in startup or fintech will be considered a great advantage
• Awareness or Hands-on experience with ML-AI implementation or ML-Ops
• Certification in AWS foundation

• Opportunities to Take Ownership – Work on high-impact projects with real autonomy.
• Fast Career Growth – Gain exposure to multiple business areas and advance quickly.
• Be at the Forefront of Innovation – Work on cutting-edge technologies or disruptive ideas.
• Collaborative & Flat Hierarchy – Work closely with leadership and have a real voice.
• Dynamic, Fast-Paced Environment – No two days are the same; challenge yourself every day.
• A Mission-Driven Company – Be part of something that makes a difference