AWS Data Engineer - £120,000

London
7 months ago
Applications closed

Related Jobs

View all jobs

AWS Data Engineer - Snowflake Cortex (Contract)

Data Engineer - AWS | London Insurance

Data Engineer

Data Engineer

Lead Data Engineer (AWS & Snowflake)

Lead Data Engineer

Senior AWS Data Engineer - Greenfield Market Data Platform | London | Vice President Level

Location: London - Canary Wharf (Hybrid: 2-3 days/week in office)
Salary: Up to around £120,000 + Bonus + Benefits
Employment Type: Permanent
Industry: Financial Services

We're working with a prestigious financial services client on a greenfield data engineering opportunity that's set to transform how market data is accessed and used across the business. This is a rare chance to join a high-impact initiative at its inception, designing and building a cutting-edge Market Data Store (MDS) platform using the latest cloud technologies.

This individual contributor role is ideal for a hands-on Senior Data Engineer who thrives in technically complex environments and enjoys solving large-scale data pipeline challenges. You'll work with tools like AWS Glue, PySpark, Iceberg, Databricks, and Snowflake, collaborating with data scientists and stakeholders across multiple business units.

Key Responsibilities:

Design, build, and maintain scalable data pipelines and architectures.
Implement secure and efficient data lakes and warehouses to manage high-volume, high-velocity data.
Develop advanced data processing and analysis algorithms using Python and SQL.
Collaborate with data scientists to deploy machine learning models.
Contribute to strategic planning, risk management, and governance initiatives.
Act as a subject matter expert, guiding technical direction and mentoring junior engineers.What We're Looking For:

Strong hands-on experience with AWS data engineering tools: Glue, PySpark, Athena, Iceberg, Lake Formation, etc.
Proficiency in Python and SQL for data processing and analysis.
Deep understanding of data governance, quality, and security best practices.
Experience working with market data and its applications.
Excellent communication and stakeholder management skills.Nice to Have:

Experience with Databricks and Snowflake.
Exposure to machine learning and data scienceWhy Apply?

Be part of a greenfield build with strategic visibility and long-term impact.
Work with cutting-edge technologies in a collaborative, forward-thinking team.
Enjoy a Vice President-level role with technical leadership and autonomy.
Hybrid working model: 2-3 days/week in Canary Wharf office.Interested in learning more?
Apply now or reach out for a confidential chat.

Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check.

Tenth Revolution Group / Nigel Frank are the go-to recruiter for Power BI and Azure Data Platform roles in the UK, offering more opportunities across the country than any other. We're the proud sponsor and supporter of SQLBits, and the London Power BI User Group. To find out more and speak confidentially about your job search or hiring needs, please contact me directly at

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.

Where to Advertise Data Engineering Jobs in the UK (2026 Guide)

Advertising data engineering jobs in the UK requires a different approach to most technical hiring. Data engineers occupy a distinct discipline that sits between software engineering, data science and cloud infrastructure — and the strongest candidates identify firmly with the data engineering community rather than with adjacent roles. General job boards consistently conflate data engineering with data analysis, data science and BI development, producing high application volumes but low candidate quality for specialist pipeline and platform roles. This guide, published by DataEngineeringJobs.co.uk, covers where to advertise data engineering 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.

New Data Engineering Employers to Watch in 2026: UK and Global Companies Driving the Data Revolution

Data engineering is at the heart of the digital economy, transforming raw data into actionable insights, powering analytics, AI systems, and cloud infrastructure. As the UK and global markets continue to invest heavily in data platforms, pipelines, and real-time analytics, demand for skilled data engineers is growing rapidly. For professionals exploring opportunities on www.DataEngineeringJobs.co.uk , the critical question is: which companies are expanding, hiring, and shaping the future of data-driven business? This article highlights new data engineering employers to watch in 2026, including UK startups, scale-ups, and international firms expanding in the UK.

How Many Data Engineering Tools Do You Need to Know to Get a Data Engineering Job?

If you’re aiming for a career in data engineering, it can feel like you’re staring at a never-ending list of tools and technologies — SQL, Python, Spark, Kafka, Airflow, dbt, Snowflake, Redshift, Terraform, Kubernetes, and the list goes on. Scroll job boards and LinkedIn, and it’s easy to conclude that unless you have experience with every modern tool in the data stack, you won’t even get a callback. Here’s the honest truth most data engineering hiring managers will quietly agree with: 👉 They don’t hire you because you know every tool — they hire you because you can solve real data problems with the tools you know. Tools matter. But only in service of outcomes. Jobs are won by candidates who know why a technology is used, when to use it, and how to explain their decisions. So how many data engineering tools do you actually need to know to get a job? For most job seekers, the answer is far fewer than you think — but you do need them in the right combination and order. This article breaks down what employers really expect, which tools are core, which are role-specific, and how to focus your learning so you look capable and employable rather than overwhelmed.