Data Engineer/Warehouse Developer - £55 - £70,000 - London

Tenth Revolution Group
City of London
4 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

BI Data Engineer

Technical Lead - Data Engineering

Data Engineer

Data Engineer

AWS Data Engineer

Data Engineer / Data Warehouse Developer - £55,000 - £70,000 - Hybrid - LondonCompany Overview:My client, an established wealth management company is currently hiring for a Data Engineer / Data Warehouse Developer. They are a multinational cooperation who have been experts in their field for over 60 years, with the UK branch is currently managing over £18 billion in assets.Despite their size they still pride themselves on being a close-knit, collaborative business where everyone helps everyone. This business model means they always try and promote from within and push their own talents as far as they can go - as can be proven by many company success stories!Role Overview:Business developments and growth within my clients company has lead to a lot of new work becoming available with a few big projects on the cards, including a large-scale integration. In this role you'll be uplifting and developing ETL processes to ingest source data from different systems into a unified warehouse. This will be on-prem work for security reasons so it will include a lot of T-SQL and SSIS work. Additional responsibilities will include performance optimisation, ensuring scalability and testing and validation of processes.My client has no plans to move to a cloud platform.EssentialSolid, recent experience in SQL & T-SQL programming, and SSIS for ETLScripting experience in C#, PowerShell and/or PythonStrong Data Warehousing experience including designing, developing, and implementing Data Warehouse solutions with a focus on data integrationData mapping experienceDesirableFinancial Services experience Interviews ongoing don't miss your chance to secure a role working with cutting edge technology while maintaining exceptional work-life balance.Contact me @ (url removed) or on (phone number removed).Data Warehousing, Data Warehouse, SQL, ssIS, on-prem, ETL, C#, Python, fintech

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Machine Learning Jobs: Which Pays Better in 2025?

Machine learning (ML) has swiftly become one of the most transformative forces in the UK technology landscape. From conversational AI and autonomous vehicles to fraud detection and personalised recommendations, ML algorithms are reshaping how organisations operate and how consumers experience products and services. In response, job opportunities in machine learning—including roles in data science, MLOps, natural language processing (NLP), computer vision, and more—have risen dramatically. Yet, as the demand for ML expertise booms, professionals face a pivotal choice about how they want to work. Some choose day‑rate contracting, leveraging short-term projects for potentially higher immediate pay. Others embrace fixed-term contract (FTC) roles for mid-range stability, or permanent positions for comprehensive benefits and a well-defined career path. In this article, we will explore these different employment models, highlighting the pros and cons of each, offering sample take‑home pay scenarios, and providing insights into which path might pay better in 2025. Whether you’re a new graduate with a machine learning degree or an experienced practitioner pivoting into an ML-heavy role, understanding these options is key to making informed career decisions.

Machine‑Learning Jobs for Non‑Technical Professionals: Where Do You Fit In?

The Model Needs More Than Math When ChatGPT went viral and London start‑ups raised seed rounds around “foundation models,” many professionals asked, “Do I need to learn PyTorch to work in machine learning?” The answer is no. According to the Turing Institute’s UK ML Industry Survey 2024, 39 % of advertised ML roles focus on strategy, compliance, product or operations rather than writing code. As models move from proof‑of‑concept to production, demand surges for specialists who translate algorithms into business value, manage risk and drive adoption. This guide reveals the fastest‑growing non‑coding ML roles, the transferable skills you may already have, real transition stories and a 90‑day action plan—no gradient descent necessary.

Quantexa Machine‑Learning Jobs in 2025: Your Complete UK Guide to Joining the Decision‑Intelligence Revolution

Money‑laundering rings, sanctioned entities, synthetic identities—complex risks hide in plain sight inside data. Quantexa, a London‑born scale‑up now valued at US $2.2 bn (Series F, August 2024), solves that problem with contextual decision‑intelligence (DI): graph analytics, entity resolution and machine learning stitched into a single platform. Banks, insurers, telecoms and governments from HSBC to HMRC use Quantexa to spot fraud, combat financial crime and optimise customer engagement. With the launch of Quantexa AI Studio in February 2025—bringing generative AI co‑pilots and large‑scale Graph Neural Networks (GNNs) to the platform—the company is hiring at record pace. The Quantexa careers portal lists 450+ open roles worldwide, over 220 in the UK across data science, software engineering, ML Ops and client delivery. Whether you are a graduate data scientist fluent in Python, a Scala veteran who loves Spark or a solutions architect who can turn messy data into knowledge graphs, this guide explains how to land a Quantexa machine‑learning job in 2025.