Data Engineer - London - AWS - 60,000 + Benefits

City of London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior DataOps Engineer

Data/Machine Learning Ops Engineer

Senior Data Scientists/Data Engineers (Palantir, Python, Data Science)

Senior Data Scientists/Data Engineers (Palantir, Python, Data Science)

Senior Data Scientist & ML Engineer (f/m/d)

Data Scientist | Multi-Strat Hedge Fund | London

Data Engineer - London - AWS - Up to 60,000 + Benefits

Exciting opportunity to work with a forward thinking company who offer their employers the chance to work with cutting edge tech, grow their skills with fully-costed training programs, maintain a healthy work-life balance with modern working arrangements - up to 4 days a week from home - as well as a comprehensive benefits package.

You will be working within global company who boast offices across the world - from London to Melbourne, Singapore to the US + many more in between! Within this multinational is a multitude of high level business who are all world leaders within their respective fields. The organisation celebrates successes with a positive and supportive working culture - and you will realise this first hand as this organisation take the well being of their employees very seriously, understanding that work-life balance is critical to performance and moral.

As an AWS Data Engineer, you will design, develop, and maintain data pipelines and architectures. You will be utilising AWS services such as Redshift, S3, and Glue, alongside tools such as Apache Spark and Kafka, to process large datasets. Your role will involve optimising data workflows, ensuring data quality, and implementing robust data security measures. You'll collaborate with data scientists and analysts to support data-driven decision-making, utilising technologies like Python, SQL, and ETL frameworks. This position offers the opportunity to work with cutting-edge cloud technologies and contribute to innovative data solutions while growing your skills on the job!

Requirements:

Good experience as a Data Engineer, with a focus on AWS
Proficiency in AWS services like Redshift, S3, Glue, and Lambda
Strong skills programming in Python or PySparkNice to have:

AWS Certifications

Interviews are already underway with limited slots remaining, don't miss out on your opportunity to secure this amazing role!

Get in touch ASAP by contacting me at or on (phone number removed)!

Data Engineer, Senior Data Engineer, Developer, AWS, Apache, Python, PySpark

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.

Jobs

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

Jobs

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.

Jobs

How to Write an AI CV that Beats ATS (UK examples)

Writing an AI CV for the UK market is about clarity, credibility, and alignment. Recruiters spend seconds scanning the top third of your CV, while Applicant Tracking Systems (ATS) check for relevant skills & recent impact. Your goal is to make both happy without gimmicks: plain structure, sharp evidence, and links that prove you can ship to production. This guide shows you exactly how to do that. You’ll get a clean CV anatomy, a phrase bank for measurable bullets, GitHub & portfolio tips, and three copy-ready UK examples (junior, mid, research). Paste the structure, replace the details, and tailor to each job ad.

🍪 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.