Senior Data Engineer (AWS)

WeDo
Leeds, England
12 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Simulation Data Engineer

PhysicsX London, United Kingdom

Senior Data Scientist

Adria Solutions Manchester, United Kingdom

Senior Research Engineer - Data

Synthesia London, United Kingdom
Remote

Senior Fullstack Engineer - Data Enrichment

Wayve London, United Kingdom

Senior Data Scientist

PhysicsX United Kingdom
Posted
6 May 2025 (12 months ago)
Share
Save job
Create job alert

WeDo has partnered with a leading fintech scale-up that is looking to scale it's Data Engineering Practice.


Who are they.......Imagine a finance app that’s like your smart, low-fee wingman—budgeting help, savings boosts, and no confusing lingo! It’s here to make managing money actually easy


With it's significant growth in the past few years and large investment into their data function - they are in need a Senior Data Engineers!


What skills you need......


  • Well versed working with Python
  • Deep understanding of SQL
  • Experienced in Spark and/OR PySpark.
  • AWS Glue & Airflow experience is ideal for this position.
  • Building, developing and maintaining robust data pipelines
  • Good understand of working API's, databases etc
  • Deep cloud knowledge across the AWS ecosystem
  • You are well versed in Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL)
  • Any experience with Snowflake is desirable.


Your character


  • You are meticulous with your attention to detail - going right into the granular!
  • Have great interpersonal skills and work well with team members and key stakeholders.
  • Genuinely passionate about data engineering and be a true advocate.


This role can be either fully remote in the UK or if you wish to be hybrid then they have an office in central London or Manchester.


The role is paying up to £80k for the right candidate + a range of other benefits.


*Unfortunately this job does not offer sponsorship!

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.