Senior Data Engineer

Harnham - Data & Analytics Recruitment

London, United Kingdom

2 months ago

Applications closed

Related Jobs

View all jobs

Senior Data Engineer

SF Partners Birmingham, United Kingdom

Senior Data Engineer

Maxwell Bond Warrington, United Kingdom

Senior Data Engineer

ISR Recruitment Manchester, United Kingdom

Senior Data Engineer

Pontoon Warwick, United Kingdom

Senior AWS Data engineer (LDW Data Warehouse Discovery)

Experis Telford, Shropshire, SY2 5TN, United Kingdom

£400 – £480 pd Hybrid Clearance Required

Data Engineer

Damia Group London, United Kingdom

Posted: 27 Feb 2026 (2 months ago)

Save job

Create job alert

Applications closed

Senior Data Engineer

Central London (2-3 days a week)

Salary £90,000 plus benefits.

This is an excellent opportunity to take ownership of a modern AWS data platform within a growing financial organisation. You will play a key role in shaping their data environment, strengthening engineering standards, and ensuring their data is ready for analytics and AI initiatives.

The Company They are a digital-focused financial services organisation operating across commercial banking, fintech enablement, and lending. Their technology supports a wide range of products, and they continue to invest heavily in modern data capabilities. With strong momentum and a commitment to advancing their UK data function, they offer a place where you can make meaningful technical impact.

The Role * Design and maintain end to end ELT and ETL pipelines within a large scale AWS environment. * Build well structured data models and curated layers to support reporting and analytics. * Improve data quality, observability, governance, and overall platform reliability. * Lead architectural decisions and support a review of existing workflows and pipelines. * Contribute to ongoing transformation and migration projects. * Provide technical guidance and mentor a junior engineer.

Your Skills and Experience * Strong commercial experience working with AWS...

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

Industry Insights

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

Apr 9, 2026

Products

Where to Advertise Data Science Jobs in the UK (2026 Guide)

Advertising data science jobs in the UK requires a different approach to most technical hiring. Data science spans a broad and often misunderstood spectrum — from statistical modelling and experimental design through to machine learning engineering, product analytics and AI research. The strongest candidates identify firmly with specific subdisciplines and are frustrated by adverts that conflate data scientist with data analyst, business intelligence developer or machine learning engineer. General job boards produce high application volumes for data roles but consistently fail to match specialist data science profiles with the right opportunities. This guide, published by DataScienceJobs.co.uk, covers where to advertise data science roles in the UK in 2026, how the main platforms compare, what employers should expect to pay, and what the data says about hiring across different role types.

Mar 24, 2026

Jobs

New Data Science Employers to Watch in 2026: UK and International Companies Leading Analytics and AI Innovation

Data science has emerged as one of the most transformative forces across industries, turning raw information into actionable insights, predictive models, and AI-powered solutions. In 2026, the UK is witnessing a surge in organisations where data science is not just a support function but the core of their products and services. For professionals exploring opportunities on www.DataScience-Jobs.co.uk , identifying these employers early can provide a competitive advantage in a market with high demand for advanced analytics and machine learning expertise. This article highlights new and high-growth data science employers to watch in 2026, focusing on UK startups, scale-ups, and global firms expanding their data science operations locally. All of the companies included have recently raised investment, won high-profile contracts, or significantly scaled their analytics teams.

Feb 10, 2026

Careers

How Many Data Science Tools Do You Need to Know to Get a Data Science Job?

If you’re trying to break into data science — or progress your career — it can feel like you are drowning in names: Python, R, TensorFlow, PyTorch, SQL, Spark, AWS, Scikit-learn, Jupyter, Tableau, Power BI…the list just keeps going. With every job advert listing a different combination of tools, many applicants fall into a trap: they try to learn everything. The result? Long tool lists that sound impressive — but little depth to back them up. Here’s the straight-talk version most hiring managers won’t explicitly tell you: 👉 You don’t need to know every data science tool to get hired. 👉 You need to know the right ones — deeply — and know how to use them to solve real problems. Tools matter, but only in service of outcomes. So how many data science tools do you actually need to know to get a job? For most job seekers, the answer is not “27” — it’s more like 8–12, thoughtfully chosen and well understood. This guide explains what employers really value, which tools are core, which are role-specific, and how to focus your toolbox so your CV and interviews shine.