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

Apply Now

Data Engineer - Azure / GCP, Data Lake, Snowflake

London
2 days ago
Create job alert

Data Engineer - Azure / GCP, Data Lake, Snowflake

Up to £700 per day (Inside IR35)

London / Hybrid (1-2 days per week hybrid working)

6 months

I am currently working with an instantly recognisable, high profile client who urgently require a Data Engineer with expertise in Azure / GCP and Data Lakes to join a major transformation programme, whilst expanding Data sources and identifying more Data sources to help produce more metrics to drive Data capability across the entire organisation, helping bridge the gap between Data Engineering and Security.

Key Requirements:

Proven experience as a Data Engineer in a large, complex, regulated organisation
Expertise with Cloud Platforms (Azure and GCP preferred)
Previous experience of working with Data Lakes
Demonstrable experience of ingesting, extracting and analysing Data from diverse sources
Ability to create a centralised and standardised view from using Data from across multiple Business / Market Units across the entire organisation
Understanding of future hosting model(s)
Capability to give Market Units some guidance whilst understanding Data capability, working with vendors / 3rd parties and working out what more can be done
Strong communication skills and ability to work autonomously and drive innovation
Nice to have:

Familiarity with Data Architecture
Exposure to Cyber Security tooling or working closely with InfoSec / Risk teams
Understanding of Data Management frameworks (DCAM, DMBOK)
Working knowledge of GraphQL / Data Bricks / Snowflake / Oracle Data Lake / Synapse in Azure / Big Query in GCP
Previous experience of working with Medical / Healthcare Data
Immediate availability

If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now.
If this job isn't quite right for you, but you are looking for a new position, please contact us for a confidential discussion about your career.

Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at (url removed)

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

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.

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.

Why the UK Could Be the World’s Next Data Science Jobs Hub

Data science is arguably the most transformative technological field of the 21st century. From powering artificial intelligence algorithms to enabling complex business decisions, data science is essential across sectors. As organisations leverage data more rapidly—from retailers predicting customer behaviour to health providers diagnosing conditions—demand for proficiency in data science continues to surge. The United Kingdom is particularly well-positioned to become a global data science jobs hub. With world-class universities, a strong tech sector, growing AI infrastructure, and supportive policy environments, the UK is poised for growth. This article delves into why the UK could emerge as a leading destination for data science careers, explores the job market’s current state, outlines future opportunities, highlights challenges, and charts what must happen to realise this vision.