Full Stack Data Engineer (Client Facing)

Decho Group
City of London, United Kingdom
2 months ago
Applications closed

Related Jobs

View all jobs

Full Stack Software Engineer

83zero Lime Street, City And County Of the City Of London, United Kingdom
£100,000 – £130,000 pa Hybrid

Full Stack IoT Developer

Cubiq Recruitment Bowerhill, Wiltshire, SN12 6EY, United Kingdom
£55,000 – £60,000 pa

SC & DV Cleared Data Consultants and Analysts

VIQU IT Farringdon, Greater London, London, EC1M 4BJ, United Kingdom
£50,000 – £60,000 pa On-site Clearance Required

Senior Analytics Engineer

Synthesia London, United Kingdom
Remote

Platform Engineer

Faculty AI London, United Kingdom
Hybrid

Director, AI Engineering

Faculty AI London, United Kingdom
Hybrid
Posted
11 Mar 2026 (2 months ago)

About Decho Group


Decho Group is a fast-growing Tech and AI consultancy, founded to solve complex data challenges for governments and enterprises. We specialise in Palantir technologies, advanced analytics, and AI-driven solutions that transform how organisations make decisions.

In October 2025, Accenture acquired Decho Group, recognising our unique ability to combine deep engineering expertise with strategic advisory, tackling mission-critical problems in defence, healthcare, and commercial industries.


Joining Decho means joining a consultancy where AI meets engineering excellence. You’ll be part of a team that thrives on curiosity, collaboration, and bold thinking, working on projects that genuinely change lives and industries.


The Role

We’re seeking Full stack Data Engineers , across all levels from Junior to Senior Manager, who want to apply their technical skills in AI consultancy and Palantir engineering. You’ll design solutions that unify complex data landscapes, build workflows that drive smarter decisions, and partner with clients to deliver sustainable transformation.

This is a hands-on role where you’ll combine software engineering expertise with strategic problem-solving, working across data pipelines, operational workflows, and AI models.


Key Responsibilities

  • Design & Solve: Break down client problem sets and design innovative solutions using Palantir software.
  • Engineer Data: Build and maintain pipelines and ETL processes to power decision-making models.
  • Create Workflows: Develop operational workflows and decision-support tools that transform enterprise operations.
  • Apply AI: Collaborate with colleagues to implement AI and machine learning models against real-world challenges.
  • Technical Excellence: Apply your software engineering skills to build scalable, reliable solutions.
  • Grow & Share: Contribute to the Decho Lab by mentoring peers, upskilling junior engineers, and driving best practice.
  • Partner with Clients: Build deep, trusted relationships that position Decho–Accenture as their go-to advisor.


What We’re Looking For

  • Experienced Engineer with proven expertise in Python, SQL, and TypeScript.
  • Experience with Palantir technologies: Foundry, Gotham, or similar platforms (preferred)
  • Strong understanding of data engineering, ETL pipelines, and workflow design.
  • Passion for AI, machine learning, and emerging technologies.
  • Excellent problem-solving, collaboration, and communication skills.
  • Curiosity, adaptability, and a drive to make a real-world impact.


Why Join Us

  • Be part of a fast-growing AI consultancy now backed by Accenture’s global scale.
  • Work on mission-critical projects across government, defence, health, and commercial sectors.
  • Gain hands-on experience in AI, advanced analytics, and Palantir technologies.
  • Shape the future of data-driven decision-making while building your own career story.
  • Thrive in a culture that values innovation, collaboration, and bold ambition.



Unfortunately we can not provide sponsorship for this opportunity

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Where to advertise data science jobs UK in 2026: the specialist boards, communities and channels that actually reach senior and lead data science talent. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Data Science Jobs UK 2026: What to Expect Over the Next 3 Years

Data Science Jobs UK 2026: roles, salaries and the trends shaping UK data science hiring over the next three years — from MLE crossover to GenAI workflows. Data science has spent the past decade being described as the sexiest job of the twenty-first century. By 2026, the reality is both more nuanced and more interesting than that label ever suggested. The discipline has matured, fragmented, deepened, and in some respects reinvented itself — and the jobs market has changed with it in ways that create genuine opportunity for those who understand what employers actually want, and genuine difficulty for those still operating on assumptions formed five years ago. The data science jobs market of 2026 is not simply a larger version of what it was three years ago. The generalist data scientist — equally comfortable wrangling data, building models, and presenting insights to the board — is giving way to a more specialised landscape where employers know exactly what problem they are trying to solve and are looking for candidates with the specific depth to solve it. Machine learning engineering, causal inference, experimentation, AI product development, and domain-specific applied science have all emerged as distinct career tracks within what was previously a single, loosely defined profession. At the same time, the arrival of large language models and the broader AI capability wave has both threatened and created data science roles in equal measure. Some of the work that junior data scientists spent their early careers doing — data cleaning, exploratory analysis, basic model building — is being partially automated by AI tooling. But the demand for practitioners who can evaluate AI systems rigorously, apply statistical thinking to complex business problems, and build the data foundations on which AI depends has grown considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what data scientists are expected to build and know, and how to position a data science career that will remain valuable as the field continues to evolve around them. This article breaks down what the UK data science jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

New Data Science Employers to Watch in 2026: a UK and international shortlist of analytics and AI companies hiring data scientists, ML engineers and analysts. Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.