National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Data Engineer

Noir Consulting
City of London
3 days ago
Create job alert

Data Engineer - Investment Banking - London/Hybrid
(Data Engineer, SQL Data Engineer, Java, Python, Spark, Scala, SQL, Snowflake, OO programming, Databricks, Data Fabric, design patterns, SOLID principles, ETL, Unit testing, NUnit, MSTest, Junit, Microservices Architecture, Continuous Integration, Azure DevOps, AWS, Jenkins, Agile, Data Engineer, SQL Data Engineer)
We have several fantastic new roles, including a Data Engineer position to join a growing global financial giant. This is your chance to work for one of the most ambitious companies headquartered in London! They are expanding rapidly and hiring across several teams to join their new and growing IT division. They are looking for an experienced Lead Data Engineer with expert-level Java/Python skills, as well as Snowflake and Databricks experience, to join their core engineering team and deliver features across their Data Engineering platform.
We are seeking a Data Engineer who has advanced working knowledge of Snowflake/Databricks and Java/Python, as well as experience with Microservices Architecture and Continuous Integration. Exposure to NUnit, MSTest, and Junit would be beneficial, along with knowledge of ETL, Azure DevOps, AWS, and Jenkins.
There is a wealth of knowledge and experience within the business to share with the right candidate. Therefore, the right attitude, cultural fit, collaboration, problem-solving, and communication skills are just as important as technical expertise.
We are eager to hear from talented Data Engineer candidates with a background in financial services.
This is an excellent opportunity to work for a prestigious brand that can significantly enhance your career. The company invests heavily in training and career development; top performers will have pathways into senior leadership and architectural roles.
Location:

London / Hybrid
Salary:

£60K - £95K + Bonus + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK, although remote working is available.
To apply for this position, please send your CV to Sunny Bhalla at Noir Consulting.
NOIRUKTECHREC
NOIRUKREC

#J-18808-Ljbffr

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

National AI Awards 2025

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.

Data Science Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide—refreshed every quarter—so you always know who’s really expanding their data‑science teams. Budgets for predictive analytics, GenAI pilots & real‑time decision engines keep climbing in 2025. The UK’s National AI Strategy, tax relief for R&D & a sharp rise in cloud adoption mean employers need applied scientists, ML engineers, experiment designers, causal‑inference specialists & analytics leaders—right now. Below you’ll find 50 organisations that have advertised UK‑based data‑science vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the kind of employer—& culture—that suits you. For every company you’ll see: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, mission, culture) Search any employer on DataScience‑Jobs.co.uk to view current ads, or set up a free alert so fresh openings land straight in your inbox.

Return-to-Work Pathways: Relaunch Your Data Science Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like stepping into a whole new world—especially in a dynamic field like data science. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s data science sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve gained and provide mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for data science talent in the UK Leverage your organisational, communication and analytical skills in data science roles Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to data science Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to data science Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as a data analyst, machine learning engineer, data visualisation specialist or data science manager, this article will map out the steps and resources you need to reignite your data science career.

LinkedIn Profile Checklist for Data Science Jobs: 10 Tweaks to Elevate Recruiter Engagement

Data science recruiters often sift through dozens of profiles to find candidates skilled in Python, machine learning, statistical modelling and data visualisation—sometimes before roles even open. A generic LinkedIn profile won’t suffice in this data-driven era. This step-by-step LinkedIn for data science jobs checklist outlines ten targeted tweaks to elevate recruiter engagement. Whether you’re an aspiring junior data scientist, a specialist in MLOps, or a seasoned analytics leader, these optimisations will sharpen your profile’s search relevance and demonstrate your analytical impact.