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

Apply Now

Data Engineer

Eden Smith Group
Cannock
8 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data EngineerFully remote workingSalary up to £55,000per annum + BenefitsAn exciting new opportunity has arisen to joina large retailer, known for their sustainability ethos within aData Engineer role. The company are based in the midlands and theposition is FULLY REMOTE.Key responsibilities:Ensure quality datais ingested into the data warehouse to capture reliable andaccurate insights.Manage a range of data sources and make sure thedata platform for analytics is ingesting and structuring datacorrectly.Understand the structure and meaning of data in multipleinternal and external data sources.Create logical and physicaloperational data stores, staging areas, dimensional models andanalytical datasets.Design, develop and build unit tests, anddeliver processes that extract data from sources, transform data toimplement business logic Implement data cleansing activities in ETLand help define business rules to support data quality.Adapt ETLprocesses to accommodate changes in business requirements or sourcesystems.Communicate with key stakeholders to understandrequirements.Skills required:A strong understanding of MicrosoftAzure (Data Factory, Azure Data Lake, Synapse, Databricks)A solidunderstanding of data concepts and data modelling principles,applied across traditional warehousing and modern datalakes.Experience of building Azure functions.A broad understandingof BI information exploitation methods including ad hoc queries,data mining techniques, data visualisation, real time intelligenceand data explorationPractical experience of using Microsoft AzureDev Ops and CI/CDExpert SQL knowledgeProficient in Python,PySparkThe ability and desire to mentor more junior members of theteamStrong communication skillsExperience of building datapipelines in Fabric is desirable but not essential.This is a greatopportunity for a Data Engineer who is looking to upskill andprogress within a forward-thinking organisation who offer a veryhealthy work/life balance.If you are interested, please apply forfull details.

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.