Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Warehouse Engineer

La Fosse
Northam
9 months ago
Applications closed

Related Jobs

View all jobs

Data Warehouse Engineer

Senior Data Warehouse Engineer

Data Engineer

Data Engineer

Data Engineer

Senior Data Engineer

Data Warehouse Engineer - ~£55k – 12-24m FTC – Hybrid (multiple UK offices)

Is this the next step in your career Find out if you are the right candidate by reading through the complete overview below.La Fosse are working with a leading IT consultancy, undergoing a huge amount of project work centred around a company-wide cloud migration and data warehouse rebuild.This is a new role within the team, and we are subsequently looking for someone with end-to-end experience developing and supporting multi source data warehouses, with technical expertise in SQL, ETL, Azure and Power BI to help take the reins on this growing function.This is an initial 12-24m contract with a high likelihood of conversion to a full-time permanent role, and would suit someone with 2-3 years experience looking for the next challenge where they can have real ownership over a massive programme of work.Offices in London, South West, North West, North East and Scotland.Please apply for full info.Must have full UK right to work.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

By subscribing, you agree to our privacy policy and terms of service.

Industry Insights

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

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.