Job Description

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 our

Demand-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

Architect and optimize

ETL pipelines

that handle large-scale log data from multiple third-party platforms Design and build

RESTful and/or GraphQL APIs

to drive reporting tools and dashboards Deploy

serverless and containerized jobs

(Lambda, Glue, etc.) to automate critical data workflows Partner with internal stakeholders--from Product to Leadership--to turn raw data into actionable insights Manage and evolve our

AWS infrastructure

(S3, Athena, Lambda, RDS/Postgres) Contribute to frontend data tools (React, TypeScript) when needed Build with quality in mind--ensuring data integrity, observability, and scalability across systems Continuously improve engineering practices, documentation, and developer experience

What You Bring

#

Experience

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 with

FastAPI

,

Express

, or

GraphQL

Exposure to frontend tech like

React

and

TypeScript

Knowledge of

Ruby

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

Who You Are

You

own your work

from infrastructure to implementation


You're

pragmatic

--you can balance technical debt, speed, and scale


You care deeply about

code quality

,

data integrity

, and

maintainability

You enjoy

collaborating cross-functionally

and 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.