AWS Data Engineer (Hybrid) Bristol – Spark, S3, Redshift

Avanti Recruitment

Box Makers Yard

Last month

Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Synthesia London, United Kingdom

Hybrid

Data Engineer

Relation Therapeutics London, United Kingdom

Permanent

AI / Machine Learning Engineer

The Digital Bench Ltd Australia

£70,000 – £95,000 pa

Senior Machine Learning Engineer

Platform Recruitment Cambridge, United Kingdom

AI / ML Engineer

Maxwell Bond Manchester, United Kingdom

Graduate AI Data Scientist

Global Tech Recruitment London, United Kingdom

£42,000 – £45,000 pa Hybrid

Posted: 14 Mar 2026 (Last month)

Save job

Create job alert

Applications closed

AWS Data Engineer (Hybrid) Bristol – Spark, S3, Redshift, Lambda, EMR, Glue

Avanti Recruitment is working with a rapidly growing technology business in Bristol to recruit a talented AWS Data Engineer to join their team. You will help build and evolve their AWS cloud-based data infrastructure. You’ll work with large datasets and a modern AWS stack, designing scalable pipelines and delivering reliable data to teams across the organisation.

In this role, you will develop and maintain ETL and ELT workflows using Apache Spark, Python and AWS Glue, while architecting solutions that make extensive use of AWS services including S3, Redshift, EMR, Lambda, Kinesis, DynamoDB, IAM, CloudWatch and Step Functions.

You’ll ensure data quality, troubleshoot pipeline issues and continuously look for ways to improve performance and reliability.

To be successful you’ll need strong Python and SQL skills, experience with distributed data processing, and solid understanding of AWS cloud-based data engineering.

Familiarity with data lakes, data warehouses and both relational and NoSQL databases is important.

Experience with Infrastructure as Code, streaming technologies or orchestration tools is helpful but not required.

Salary: £50,000 - £70,000 + 25 days holiday + private healthcare + training

Location: Bristol – Hybrid working – 1 day a week in the Bristol office

This will be a great role for an experienced AWS Data Engineer who wants to work in a Data and AI team with the latest technologies.

APPLY NOW for immediate consideration.

N.B. – They do not offer visa sponsorship so you must have the right work and won’t consider applicants on short-term visas

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 Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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 Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.

Feb 11, 2026

Careers

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.