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

Nominate & Attend

Data Engineer Python Spark ETL

Client Server
Greater London
3 weeks ago
Applications closed

Related Jobs

View all jobs

Data Engineer | Python | ETL | Spark | Databases | Snowflake | AWS | Hybrid, London

Lead Data Engineer

Data Engineer Coach

Mid-Level Data Engineer

Data Engineer

Data Engineer

Data Engineer (Python Spark ETL) London / WFH to £90k

Are you a tech savvy Data Engineer keen to make an impact, delivering Greenfield systems?

You could be progressing your career at a successful and growing Cyber Security Risk Management tech company that specialises in solutions for SME's, working on complex and interesting systems at the cutting edge of technology. The company is scaling and enjoying great success.

As a Data Engineer you'll be instrumental in building and scaling the data infrastructure to support advanced data aggregation, storage and analytics capabilities as the company enters a phase of data maturity, holding data from hundreds of thousands of organisations since they were established seven years ago. You'll take ownership of building a new Data Lake from scratch using a range of modern tools and technologies, primarily Python and Spark in an AWS environment.

This is an impactful role where you'll be at the heart of the technology function to drive optimisations and develop new capabilities that maximise the value of the company's accumulated data sets.

Location / WFH:
There's a hybrid work from home policy with three days in the London office per week.

About you:

You are an experienced Data Engineer with a strong knowledge of Data Lakes, Data Warehousing, ETL / ELT processes and data pipeline orchestration You have strong Python and SQL coding skills You have experience with big data frameworks and tools including Spark You have a good knowledge of AWS data services (e.g. S3, Redshift, EMR, Glue) You have strong analytical, problem solving and critical thinking skills You have excellent communication skills and experience of working across teams

What's in it for you:
As a Data Engineer (Python Spark ETL) you will earn a competitive salary plus benefits including:

Salary to £90k Private Medical Healthcare including Dental and Vision cover Pension Share Option scheme Employee Wellness Programme Summer time hours £2k personalised training budget
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.

Careers

How to Present Data Science Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

The ability to communicate clearly is now just as important as knowing how to build a predictive model or fine-tune a neural network. In fact, many UK data science job interviews are now designed to test your ability to explain your work to non-technical audiences—not just your technical competence. Whether you’re applying for your first data science role or moving into a lead or consultancy position, this guide will show you how to structure your presentation, simplify technical content, design effective visuals, and confidently answer stakeholder questions.

Jobs

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Careers Jobs

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

🍪 We use cookies to enhance your browsing experience on our website. By continuing to use this site, you consent to the use of cookies as described in our Cookie Policy. You can review our Cookie Policy for more information.