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

Apply Now

Data Engineer - London - Hybrid - £100 - £115k

City of London
9 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer - DataOps

Data Engineer - DataOps

Machine Learning Engineer

Data Scientist - Engineer Data Engineering · London, UK · Hybrid

Senior Data Engineer - Data Science & Engineering | Global Lifestyle Brand

AI Engineer (data science & software)

Data Engineer - London - Hybrid - £100 - £115k

This is a brand new opportunity to join a leading global company as a data engineer specialising in Snowflake, Python, SQL and/or Oracle. Being at the forefront of data management and analytics is core to my clients investment platform making you an essential part of the team and the business as a whole. This position will play an integral role as the team implements new data management platforms, creates new data ingestion pipelines, and sources new data sets. The role will assist with all aspects of data - from data architecture design to on-going data management

Salary & Benefits

Highly competitive salary of up to £115k
Competitive comprehensive medical, dental, retirement and life insurance benefits
Employee assistance & wellness programs
Parental and family leave policies
Tuition assistance & reimbursement
Quarterly Innovation & Collaboration Awards
Employee discount program, including access to fitness facilities
Competitive paid time off
Continued learning opportunitiesRole & Responsibilities

Execute data architecture and data management projects for both new and existing data sources.
Transition existing data sets, databases, and code from Oracle to Snowflake.
Lead analysis of data sets using a variety of techniques such as machine learning.
Manage end to end data ingestion process and publishing to investing teams.
Own the process of mapping, standardizing, and normalizing data.
Ad hoc research on project topics such as vendor trends, usage best practices, big data trends, artificial intelligence, vendors, etc.
Help transition existing data sets, databases, and code to Snowflake.
Assess data loads for tactical errors and build out appropriate workflows, as well as create data quality analysis that identifies larger issues in data.
Actively manage vendors and capture changes in data input proactively.
Properly prioritize and resolve data issues based on business usage.
Assist with managing strategic initiatives around big data projects for the commercial (trading) business.
Partner with commercial teams to gain understanding of current data flow, data architecture, investment process as well as gather functional requirements.
Assess gaps in current datasets and remediate.
What do I need to apply for the role

Bachelor's degree in Computer Science, Mathematics, Physics, Business Intelligence, or related field of study.
5+ years of experience in SQL programming, data architecture, and dimension modeling.
Interest and passion for data architecture, analytics, management, and programming.
Experience in energy commodities or financial services required.
Experience in mapping, standardizing, and normalizing data.
Experience with data integration platforms is preferred, and SnapLogic experience is highly preferred.
Extensive work experience with ETL/ELT frameworks to write pipelines to load millions of records.
Advanced skills in writing highly optimized SQL code.
Experience with relational databases Snowflake or Oracle is preferred.
Python work experience with Pandas, Numpy and Scikit
Ability to communicate and interact with a wide range of data users - from very technical to non-technical.
Team player who is execution focused, with the able to handle a rapidly changing set of projects. and priorities, while maintaining strong professional presence.
Strong analytics skills with demonstrated attention to details.
Familiarity with Business intelligence tools Power BI and Tableau.
Interest or experience in machine learning/Artificial Intelligence is a plus.

My client have very limited interview slots and they are looking to fill this vacancy within the next 2 weeks. I have limited slots for 1st stage interviews next week so if you're interest, get in touch ASAP with a copy of your most recent and up to date CV and email me at or you can call me on (phone number removed).

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.

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, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud 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.

AI Recruitment Trends 2025 (UK): What Job Seekers Must Know About Today’s Hiring Process

Summary: UK AI hiring has shifted from titles & puzzle rounds to skills, portfolios, evals, safety, governance & measurable business impact. This guide explains what’s changed, what to expect in interviews, and how to prepare—especially for LLM application, MLOps/platform, data science, AI product & safety roles. Who this is for: AI/ML engineers, LLM engineers, data scientists, MLOps/platform engineers, AI product managers, applied researchers & safety/governance specialists targeting roles in the UK.

Why AI Careers in the UK Are Becoming More Multidisciplinary

Artificial intelligence is no longer a single-discipline pursuit. In the UK, employers increasingly want talent that can code and communicate, model and manage risk, experiment and empathise. That shift is reshaping job descriptions, training pathways & career progression. AI is touching regulated sectors, sensitive user journeys & public services — so the work now sits at the crossroads of computer science, law, ethics, psychology, linguistics & design. This isn’t a buzzword-driven change. It’s happening because real systems are deployed in the wild where people have rights, needs, habits & constraints. As models move from lab demos to products that diagnose, advise, detect fraud, personalise education or generate media, teams must align performance with accountability, safety & usability. The UK’s maturing AI ecosystem — from startups to FTSE 100s, consultancies, the public sector & universities — is responding by hiring multidisciplinary teams who can anticipate social impact as confidently as they ship features. Below, we unpack the forces behind this change, spotlight five disciplines now fused with AI roles, show what it means for UK job-seekers & employers, and map practical steps to future-proof your CV.

AI Team Structures Explained: Who Does What in a Modern AI Department

Artificial Intelligence (AI) and Machine Learning (ML) are no longer confined to research labs and tech giants. In the UK, organisations from healthcare and finance to retail and logistics are adopting AI to solve problems, automate processes, and create new products. With this growth comes the need for well-structured teams. But what does an AI department actually look like? Who does what? And how do all the moving parts come together to deliver business value? In this guide, we’ll explain modern AI team structures, break down the responsibilities of each role, explore how teams differ in startups versus enterprises, and highlight what UK employers are looking for. Whether you’re an applicant or an employer, this article will help you understand the anatomy of a successful AI department.