Backend Data Engineer - Production ML & AWS

Endgame is a boutique, technology-led consultancy providing expert mathematical and economic advice to clients across energy, aviation, road and rail, and water. We combine advanced mathematical optimisation and machine learning with deep sectorexpertise. As aGurobiPremier Partner, we build models that sit at the core of how clients make high-stakes decisions.

THE ROLE

You’llbe a mid-level engineerina small team,working alongside senior engineers to build andmaintainbackend services and the data pipelines that feed our models and platforms. This is a genuinely hybrid backend/data role–you’llspend your timeevenlybetween building APIs and services, building pipelines and productionising models.

We’rea small, flat team of consultants and software engineers.There’sno bureaucracy to navigate here; the people who build things are the people who decide how they get built.

WHAT YOU’LL BE DOING

• Design, build andmaintainclean, well-tested backend services and APIs that expose our models and forecasts to clients and internal users
• Take models built by our quantitative team from research code to production systems that run at scale
• Contribute to architecture decisions and code review across the team
• Own your own infrastructure on AWS: write theIaC, build the deployment and CI/CD pipelines, and run long or large solve workloads reliably and cost-effectively
• Build andmaintainthe data pipelines that feed the models

WHAT WE’RE LOOKING FOR

Our target stack is Python, PostgreSQL, extensive use of AWS, Docker, Airflow with a React frontend and Python-based optimisation layer and services.

We’relooking for someone who cares deeply about the craft of software engineering and is motivated to ship high-qualityproductioncode using best practices

• 3-5 years professional software engineering experience
• Strong python knowledge and experience
• StrongSQL and experience designing schemas
• Experience working with data pipelines
• Comfortability withcloud services (AWS preferred)
• Can communicate when A.I. is beneficial and what its limitations are
• Strong communicationskills, including with non-technical stakeholders

Nice to have

• Infrastructure and DevOps exposure: infrastructure-as-code (Terraform, CDK), containers, CI/CD pipelines
• Mathematical optimisation: linear or mixed integer programming, exposure to solvers such asGurobi, CPLEX orHiGHS, or modelling libraries likePyomoorJuMP
• Energy market experience, particularly the NEM, or experience in another regulated, data-rich market

LIFE AT ENDGAME

We know that our people are our greatest asset. That’s why we invest in our team by fostering opportunities for growth, development, and recognition.

Learning & Development – You’ll work across energy, aviation, road and rail, and water, on problems that are genuinely hard rather than variations on the same build. Sitting alongside mathematicians and economists, you’ll pick up depth in optimisation, machine learning and the sectors we advise in, the kind of exposure that’s difficult to get anywhere but a small firm doing specialist work.

Reward & Recognition – Remuneration is competitive and reviewed regularly. In a team this size, the work you do is visible to everyone, and scope expands as quickly as you can take it on.

Flexibility & Autonomy – The two go hand in hand. Endgame advocates flexibility to balance work and personal life, as well as significant autonomy and ownership of the systems you build. You’ll be setting the direction of the data platform, not implementing someone else’s plan for it.

Collaboration – You’ll be the data engineering voice in a team of technical specialists, working closely with the consultants and modellers who depend on your pipelines. Expect code review, pairing and design discussions with engineers whose experience spans a range of industries and stacks.

APPLICATION PROCESS

To apply, please email with a copy of your CV.