I’m currently partnered with a high-growth investment and technology business that is building out its internal Data & AI capability and looking to hire a Data Platform Engineer into a newly evolving team.
This is a genuinely broad role sitting at the intersection of software engineering, data infrastructure, automation, and AI. You’d be joining a small, high‑calibre team with real ownership from day one, working closely with senior stakeholders to build systems that directly support commercial decision-making.
The environment would suit someone who enjoys solving complex engineering problems, building scalable internal tooling, and working across both backend infrastructure and modern AI workflows.
What you’ll be doing:
- Building and scaling internal data platforms and automation tools
- Designing and maintaining ETL pipelines and production‑grade data workflows
- Developing backend services in Python/FastAPI
- Working across modern frontend tooling including React/Next.js
- Managing cloud infrastructure within GCP
- Contributing to AI‑driven initiatives including LLM workflows and agent‑based systems
- Improving data accessibility, reporting, and operational efficiency across the business
- Mentoring junior team members and helping shape technical best practice
What they’re looking for:
- Strong software engineering fundamentals
- Experience building scalable data infrastructure and pipelines
- Solid cloud experience, ideally within GCP
- Someone comfortable operating across the stack
- Interest in AI systems, automation, and applied ML workflows
- Collaborative mindset with the ability to work closely with technical and non‑technical stakeholders
The role offers strong long‑term growth, a high level of ownership, and the opportunity to work on genuinely interesting AI and data engineering problems within a commercially focused environment.
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