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

Apply Now

Senior Azure Data Engineer - Remote - £60,000

Tenth Revolution Group
Luton
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Azure Data Engineer

Senior Azure Data Engineer (Databricks)

Azure Data Architect

Senior Data Engineer - Azure, BI & Data Strategy

Senior Data Engineer - Azure

Senior Data Engineer - Azure, BI & Data Strategy

Senior Azure Data Engineer - Remote - £60,000I am working with a data driven Microsoft partnered consultancy who are looking for a Senior Data Engineer to join their growing team. You will have the opportunity to work with some of the latest Microsoft technologies such as Microsoft Fabric and Databricks.You will join a team at the centre of a number of data-driven projects where you will be responsible for the design, development and creation of data solutions. You will work on the full end-to-end product lifecycle from platform design to insights creation.As part of this role, you will be responsible for some of the following areasDesign, develop and maintain data pipelines that are responsible for the ingestion and transformation of data between different sourcesCreate and develop data modelsThe creation of insightful and accurate data visuals/reports/dashboardsWork closely with stakeholders from different departments to ensure their data needs can be met To be successful in the role you will haveStrong ETL experience with tools such as ADF or SSISStrong experience with Python/PySparkExperience working with Azure technologies - Synapse, Fabric, Data LakeData visualisation experience with Power BIThis is just a brief overview of the role. For the full information, simply apply to the role with your CV, and I will call you to discuss further. My client is looking to begin the interview process ASAP, so don't miss out, APPLY now! To do so please email me at (url removed) or call me on (phone number removed).Nigel Frank International are the go-to recruiter for Power BI and Azure Data Platform roles in the UK offering more opportunities across the country than any other recruitment agency. We're the proud sponsor and supporter of SQLBits, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group. We are the global leaders in Microsoft recruitment

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.