National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer (T-SQL, SSIS, PowerShell)

City of London
7 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

National AI Awards 2025

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.

How to Find Hidden Machine Learning Jobs in the UK Using Professional Bodies like BCS, Turing Society & More

Machine learning (ML) continues to transform sectors across the UK—from fintech and retail to healthtech and autonomous systems. But while the demand for ML engineers, researchers, and applied scientists is growing, many of the best opportunities are never posted on traditional job boards. So, where do you find them? The answer lies in professional bodies, academic-industry networks, and tight-knit ML communities. In this guide, we’ll show you how to uncover hidden machine learning jobs in the UK by engaging with groups like the BCS (The Chartered Institute for IT), Turing Society, Alan Turing Institute, and others. We’ll explore how to use member directories, CPD events, SIGs (Special Interest Groups), and community projects to build connections, gain early access to job leads, and raise your professional profile in the ML ecosystem.

How to Get a Better Machine Learning Job After a Lay-Off or Redundancy

Redundancy in machine learning can feel especially frustrating when your role was technically advanced, strategically important, or AI-facing. But the UK still has strong demand for machine learning professionals across fintech, healthtech, retail, cybersecurity, autonomous systems, and generative AI. Whether you're a research-oriented ML engineer, production-focused MLOps developer, or applied scientist, this guide is designed to help you bounce back from redundancy and find a better opportunity that suits your goals.

Machine Learning Jobs Salary Calculator 2025: Figure Out Your True Worth in Seconds

Why last year’s pay survey is useless for UK ML professionals today Ask a Machine Learning Engineer wrangling transformer checkpoints, an MLOps Lead firefighting drift alarms, or a Research Scientist training diffusion models at 3 a.m.: “Am I earning what I deserve?” The honest answer changes monthly. A single OpenAI model drop doubles GPU demand, healthcare regulators release fresh explainability guidance, & a fintech unicorn pays six figures for vector‑search expertise. Each shock nudges salary bands. Any PDF salary guide printed in 2024 now looks like an outdated Jupyter notebook—missing the gen‑AI tsunami, the surge in edge inference, & the UK’s new Responsible‑AI framework. To give ML professionals an accurate benchmark, MachineLearningJobs.co.uk distilled a transparent, three‑factor formula that estimates a realistic 2025 salary in under a minute. Feed in your discipline, UK region, & seniority; you’ll receive a defensible figure—no stale averages, no guesswork. This article unpacks the formula, highlights the forces driving ML pay skyward, & offers five practical moves to boost your value inside the next ninety days.