Senior Data Engineer

JSS Search
Slough
9 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Lead Data Engineer

Up to £85,000

London based x3 a week


I'm looking for a Lead Data Engineer to take ownership of a Data Platform — a central enabler of insight, innovation, and growth. This is a unique opportunity to build and scale a modern data stack leveraging Snowflake and AWS, playing a hands-on leadership role in a fast-evolving, data-driven organisation.


You’ll combine deep technical skill with strategic thinking and people leadership. From architecting scalable pipelines to leading complex cross-functional initiatives, your work will empower analytics, unlock decision-making, and directly impact commercial outcomes.


What You’ll Do:

  • Design and develop robust data pipelines using Snowflake, AWS services, and modern orchestration tools
  • Lead the evolution of our data platform — frameworks, automation, tooling, and performance — with Snowflake at its core
  • Drive data integration from multiple sources (APIs, DBs, external feeds) into a unified Snowflake-powered analytics environment
  • Build production-ready data models and schemas optimised for performance, cost, and business accessibility
  • Collaborate closely with DevOps, QA, analysts, and business teams to deliver impactful data products
  • Provide technical leadership and mentoring to a growing team of data engineers
  • Enforce best practices in version control, documentation, monitoring, and automated testing
  • Ensure data quality, security, and governance within a scalable, cloud-native infrastructure
  • Partner with stakeholders to ensure the data platform supports current and future reporting, forecasting, and AI use cases
  • Stay ahead of the curve in Snowflake, AWS, and modern data engineering tooling


About You:

  • Proven experience as a Data Engineer working with Snowflake in a production environment
  • Strong cloud expertise, especially within AWS (S3, Glue, Lambda, Redshift, IAM, etc.)
  • Proficient in SQL, Python, and tools like dbt, Airflow, or similar
  • Experience optimising cost, performance, and scalability across large Snowflake environments
  • Excellent communicator with a proactive, ownership mindset
  • Passionate about coaching others, setting standards, and building elegant, scalable data solutions

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.