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

Apply Now

Data Engineer (Data Warehousing)

London
10 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

An exciting opportunity has arisen for an experienced Data Engineer / Data Warehouse Developer to join a well-established Financial Services organisation in their Central London office - they operate a hybrid working model, and you will spend 3 days per week in their modern office to collaborate with your team.

Following a recent company acquisition, they have kicked-off a large integration programme of work, including a large-scale Data Warehouse integration project. This will be a core focus of your role, and will involve uplifting and redeveloping their existing Data Warehouse to serve the needs of both entities.

The role requires extensive experience with SSIS to uplift, re-build and optimise ETL processes, ensuring seamless data ingestion, analysis and integration from various source systems, into their unified Data Warehouse. You'll ensure the stability and scalability of the Data Warehouse, ensuring it can handle increasing data volumes and user demands.

In doing so, you'll collaborate closely with the wider data and development team, subject matter experts and business stakeholders.

This role would be well-suited to a Developer with strong T-SQL and SSIS skills, who is keen to play a key role in a large-scale and transformative Data Warehousing initiative.

Requirements:

Extensive T-SQL programming skills - writing complex scripts, developing and optimising stored procedures etc.
Extensive SSIS skills - to rebuild and optimise ETL processes
Experience in scripting with PowerShell, C# and Python
Experience with Data Warehouse development
Experience in Financial Services would be beneficial but not essential
Experience with WhereScape Red would be beneficial but not essential
Excellent communication and interpersonal skills, with the ability to collaborate effectively with diverse stakeholders and work in a team-oriented environmentBenefits:

Salary from £55-70,000 depending on level of experience
25 days annual leave, increasing with tenure, with option to buy & sell days
Contributory pension scheme
Private medical insurance
Life assurance
Other optional add-ons

Please Note: This is role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group (and Nigel Frank) 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. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.

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

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.