Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Data Engineer (Snowflake) - Grade D

City of London
6 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Job Description

AWS Data Engineer - Hybrid (1-2 days in office) -London

£75000

Role & Responsibilities

Supporting the delivery of good customer outcomes through all activities and deliverable, enabling us to act in good faith towards customers, avoid causing foreseeable harm and enable and support our customers to pursue their financial objectives.
Manage data migrations and day-to-day data governance activities.Review technical work and provide training to Data Engineers, including mentoring and sharing technical expertise with more junior members of own team to build capability.
Deliver change programmes, driven by business or IT projects, to support data transformation, data structures and metadata for both structured and unstructured data.
Deliver projects and mentor juniors
Working on a migration project next year
Skills & Qualifications

Experience being a modern Data Engineer - end to end projects
Good experience with Snowflake, building full solutions, ideally from scratch with security, and user access
DBT/ general data modelling with dault vault experience being desirable
Airflow and Python experience
Proficient with AWS- Lambda, S3, SNS, CDK- DevOPs
Need to be able to build, deploy and use Terraform Benefits

Bonus opportunity - 10% of annual salary Actual amount depends on your performance Generous pension scheme - will provide up to 14%, depending on individual contributions
29 days holiday plus bank holidays, and a choice to buy or sell up to 5 days
Make your money go further - Up to 40% discount on products, and other retailer discounts.

Please send me a copy of your CV to the email below if you're interested as interviews are going right now!

(phone number removed)

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.

Jobs

Data Engineering Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data engineering hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise reliable pipelines, modern lakehouse/streaming stacks, data contracts & governance, observability, performance/cost discipline & measurable business outcomes. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for platform‑oriented DEs, analytics engineers, streaming specialists, data reliability engineers, DEs supporting AI/ML platforms & data product managers. Who this is for: Data engineers, analytics engineers, streaming engineers, data reliability/SRE, data platform engineers, data product owners, ML/feature‑store engineers & SQL/ELT specialists targeting roles in the UK.

Jobs

Why Data Engineering Careers in the UK Are Becoming More Multidisciplinary

For many years, data engineering in the UK meant designing pipelines, moving data between systems, and ensuring analysts had what they needed. Today, the field is expanding. With cloud platforms, machine learning, real-time analytics and the explosion of sensitive personal data, employers expect data engineers to do much more. Modern data engineering is no longer just about code and storage. It requires legal awareness, ethical judgement, psychological insight, linguistic clarity and human-centred design. These disciplines shape how data is collected, processed, explained and trusted. In this article, we’ll explore why data engineering careers in the UK are becoming more multidisciplinary, how law, ethics, psychology, linguistics & design now influence job descriptions, and what job-seekers & employers must do to thrive.

Jobs

Data Engineering Team Structures Explained: Who Does What in a Modern Data Engineering Department

Data has become the lifeblood of modern organisations. Every sector in the UK—finance, healthcare, retail, government, technology—is increasingly relying on insights derived from data to drive decisions, deliver products, and improve operations. But raw data on its own isn’t enough. To make data useful, reliable, secure, and scalable, companies must build strong data engineering teams. If you’re recruiting for data engineering or seeking a role, understanding the structure of such a team and who does what is essential. This article breaks down the typical roles in a modern data engineering department, how they collaborate, required skills and qualifications, expected UK salaries, common challenges, and advice on structuring and growing a data engineering team.

🍪 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.