Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer

updraft.com
London
4 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data 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 2025 - 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


#J-18808-Ljbffr

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Jobs

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Jobs

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Jobs

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.