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Full stack engineer

London
Anson Mccade
Full stack engineer
Posted: 9 February
Offer description

Job Description

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.

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