Full Stack Engineer
Our Client:
Join a high-growth technology and AI consultancy recognised for delivering exceptional outcomes across Defence, Healthcare, Finance, and Commercial sectors. Our client has built a reputation for solving some of the most complex data challenges in government and enterprise, earning industry recognition for innovation, engineering excellence, and strategic impact. Following a landmark acquisition by a global consulting powerhouse in 2025, the client now combines boutique technical expertise with global scale, creating an exceptional environment for ambitious engineers.
As a Full Stack Data Engineer, you will join a consultancy where AI meets deep engineering capability. Our client is trusted to deliver transformational data platforms that support smarter decision-making across a wide range of industries. The Full Stack Data Engineer role offers the opportunity to work on projects that genuinely make a difference, applying advanced analytics, AI, and Palantir technologies to real-world challenges.
The Full Stack Data Engineer position is hands-on and consultative, blending software engineering, data engineering, and problem-solving. You will collaborate closely with clients and internal teams to design, build, and deploy end-to-end solutions. Whether operating as a Junior Full Stack Data Engineer or at Senior Manager level, you’ll play a key role in shaping technical delivery and trusted client relationships.
Our client invests heavily in learning, innovation, and career progression, supporting engineers with cutting-edge tools, exposure to high-impact projects, and the backing of a global consultancy network. Flexible working and a collaborative, curiosity-led culture underpin everything they do.
Take the opportunity to grow your career as a Full Stack Data Engineer while shaping the future of AI-driven decision-making.
You’ll have the opportunity to:
- Work alongside industry-leading engineers, data scientists, and consultants.
- Deliver AI-enabled, data-driven solutions across public sector, healthcare, finance, and commercial industries.
- Design and build end-to-end platforms as a Full Stack Data Engineer using Palantir and modern data technologies.
- Apply advanced analytics and machine learning to real-world challenges.
- Influence technical direction and best practice across complex programmes.
- Mentor and develop junior engineers while contributing to a culture of engineering excellence.
Key Responsibilities:
- Break down complex client problem sets and design innovative solutions using Palantir technologies.
- Build and maintain robust data pipelines and ETL processes.
- Develop operational workflows and decision-support tools that transform client operations.
- Collaborate with colleagues to implement AI and machine learning models.
- Apply strong software engineering principles to deliver scalable, reliable platforms.
- Mentor peers and support the development of junior Full Stack Data Engineers.
- Build trusted, long-term relationships with clients as a technical advisor.
Key Requirements:
- Proven experience as a Full Stack Data Engineer or similar engineering role.
- Strong skills in Python, SQL, and TypeScript.
- Experience with Palantir Foundry, Gotham, or comparable data platforms (preferred).
- Solid understanding of data engineering, ETL pipelines, and workflow orchestration.
- Interest in AI, machine learning, and emerging technologies.
- Strong communication skills and a collaborative, consulting mindset.
- Curiosity, adaptability, and a desire to deliver real-world impact.
Why Join:
- Join a fast-growing AI consultancy with the backing and scale of a global organisation.
- Work on high-impact projects across public sector, finance, healthcare, and commercial industries.
- Gain deep exposure to Palantir, AI, and advanced analytics.
- Accelerate your career as a Full Stack Data Engineer in a supportive, high-performance environment.
- Be part of a culture that values innovation, collaboration, and bold ambition.