AWS Data Engineer

McGregor Boyall
City of London
1 month ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer - Snowflake Cortex (Contract)

AWS Data Engineer (contract)

Data Engineer - AWS | London Insurance

Data Engineer

Data Engineer

Lead Data Engineer (AWS & Snowflake)

AWS Data Engineer | £80 ,000 - £100,000 | Central London (Hybrid - 3 days on-site)


We're proud to partner with a high-growth fintech on the lookout for an AWS Data Engineer to join their fast-paced, data-driven organisation. This role is a great opportunity for someone who's eager to make an impact and get hands‑on with modern tools.


You’ll design, build, and optimise scalable data pipelines and warehouse solutions while collaborating across teams to ensure reliable, secure, and efficient data infrastructure for the organisation.


What you'll be doing:

  • Design, develop, and maintain scalable data architectures and ETL pipelines
  • Build and manage data models and data warehouse solutions (Snowflake and/or Airflow)
  • Write clean, efficient Python and SQL code for data processing and transformation
  • Integrate data from internal and third‑party APIs and services
  • Optimise data pipelines for performance, scalability, and reliability
  • Collaborate with data scientists, analysts, and engineering teams to support business needs
  • Implement and uphold data security and compliance standards
  • Use version control systems (e.g. Git) to manage and maintain project codebases
  • Contribute to the continuous improvement of data processes and tooling across the organisation

Experience required:

  • Proven experience in data engineering and building scalable data solutions
  • Strong experience with ETL processes, data modelling, and data warehousing
  • Proficiency in Python and SQL
  • Expertise in relational (SQL) and NoSQL database technologies
  • Hands‑on experience with AWS
  • Solid understanding of data security, privacy, and compliance principles
  • Ability to optimise data pipelines for performance and maintainability
  • Strong collaboration skills and a proactive, problem‑solving mindset

Bonus Points For

  • Experience with Snowflake and/or Airflow
  • Experience working in Agile environments (Scrum/Kanban)
  • Exposure to DevOps practices or CI/CD pipelines

You’ll join a business that values innovation, collaboration, and continuous learning, with a culture that champions autonomy and impact.


McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.


#J-18808-Ljbffr

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.

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.

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.

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.

🍪 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.