At a Glance
- Tasks: Build and scale data platforms, design ETL pipelines, and develop backend services.
- Company: High-growth investment and tech business with a focus on Data & AI.
- Benefits: Strong long-term growth, high ownership, and exciting AI projects.
- Other info: Collaborative culture with opportunities to mentor and shape best practices.
- Why this job: Join a dynamic team solving complex engineering problems in a cutting-edge environment.
- Qualifications: Strong software engineering skills and experience with scalable data infrastructure.
The predicted salary is between 50000 - 70000 £ per year.
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.
Data Platform Engineer employer: Arrows
Join a dynamic and innovative investment and technology business that prioritises employee growth and collaboration. As a Data Platform Engineer, you'll be part of a high-calibre team where you can take ownership of your projects from day one, work on cutting-edge AI and data engineering challenges, and enjoy a supportive culture that encourages mentorship and professional development. With a focus on building scalable solutions and a commitment to fostering a collaborative environment, this role offers a unique opportunity to make a significant impact while advancing your career in a thriving sector.
