Full Stack / Data Engineer

MOOT was launched in 2019 by eCommerce brand owners that had outgrown their existing Shopify solution, which was restricting their ability to scale. Through a lack of modern advanced alternatives on the market, the decision was made to build an advanced eCommerce platform that would enable the growth of fast-growing brands on the next stage of their journey.

MOOT is already in a short space of time powering some of the UK and Europe's fastest-growing D2C brands, with all the tools they need to internationalise, run multiple stores, across multiple channels with ease. Recent advancements in the platforms AI capabilities are now driving optimisations the industry has never seen before.

Who is LiftDSP ?

LiftDSP is one of the UK's most exciting and fastest-growing technology companies, working with brands such as Bet365, FFS Beauty, Revive Collagen, House Beautiful, and ASOS, among others. The business has experienced incredible growth over the last four years and is looking to continue this momentum with the ambition of driving significant sales into 2025. Our technology provides eCommerce as a service and all the tools necessary to enable scale.

Who is Lift?

Lift is one of the UK’s fastest-growing marketing technology businesses, pioneering the adoption of Programmatic Advertising within the iGaming sector globally. Lift's proprietary enterprise software has been developed in-house for nearly a decade, with constant iteration and feature improvement. Lift boasts clients such as Bet365, BetMGM, Bet Victor, Betano, and many more. 

Build the Future of AdTech—One Data Pipeline at a Time

Are you a passionate Full Stack Data Engineer looking to make a tangible impact? Ready to build scalable, data-driven infrastructure powering real-time insights, analytics, and audience targeting? If you're driven by curiosity, love working autonomously, and thrive in a start-up style environment, this is your role.

Join our lean, ambitious engineering team as we scale ourDemand-Side Platform (DSP). From the nuts and bolts of ETL pipelines to cloud-first infrastructure and intuitive APIs, your work will directly shape the future of our data systems and product strategy.

🚀 What You’ll Do

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• Architect and optimizeETL pipelinesthat handle large-scale log data from multiple third-party platforms
  

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  Design and buildRESTful and/or GraphQL APIsto drive reporting tools and dashboards
  

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  Deployserverless and containerized jobs(Lambda, Glue, etc.) to automate critical data workflows
  

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  Partner with internal stakeholders—from Product to Leadership—to turn raw data into actionable insights
  

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  Manage and evolve ourAWS infrastructure(S3, Athena, Lambda, RDS/Postgres)
  

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  Contribute to frontend data tools (React, TypeScript) when needed
  

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  Build with quality in mind—ensuring data integrity, observability, and scalability across systems
  

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  Continuously improve engineering practices, documentation, and developer experience
  

🧠 What You BringExperience

5+ years experience in data engineering, backend development, or full-stack roles, preferably in AdTech, MarTech, or similarly high-scale environments.

Essential Skills:

Strong Python experience for building data pipelines and APIs.

5+ years experience in data engineering and 

Node.js experience (APIs, backend services, orchestration)

Deep AWS experience (S3, Lambda, Glue, Athena, IAM, CloudWatch)

Strong with relational databases (Postgres, MySQL, Aurora RDS)—schema design, query tuning, modelling

Familiar with common data formats: CSV, JSON, Avro

Strong grasp of CI/CD, Git, infrastructure-as-code (Terraform, CloudFormation)

A “get-it-done” mindset—balancing speed with clean, maintainable code

Bonus Points For:

Experience withFastAPI,Express, orGraphQL

Exposure to frontend tech likeReactandTypeScript

Knowledge ofRuby

Experience in AdTech (DSPs, event attribution, log-level data)

💡 Who You Are

Youown your workfrom infrastructure to implementation

You’repragmatic—you can balance technical debt, speed, and scale

You care deeply aboutcode quality,data integrity, andmaintainability

You enjoycollaborating cross-functionallyand communicating with clarity

You're always learning, keeping an eye on the latest tools and best practices in cloud and data engineering

🎁 What We Offer

💰Competitive salary

🕒Flexible hours and remote-friendly culture

🌱Greenfield projects with huge data scale and autonomy

🔧Direct influence on technical and product strategy

🤝A mission-driven, collaborative team that moves fast and builds things right

If you're looking to leave your mark on a rapidly evolving product and want your work to matter every single day, we’d love to hear from you.

👉Apply now and help shape the future of AdTech.