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

Nominate & Attend

Senior Data Engineer - £80k - £130k

ZipRecruiter
Newcastle upon Tyne
1 week ago
Create job alert

Job Description
Senior Data Engineer
Newcastle based - 5 days onsite
Salaries paying £80k - £110k + Bonuses
Our client
Our client are a newly created Joint Venture specialising in providing technology consulting services to businesses operating in the Financial Services and Alternative Investment markets. They pride themselves on employing and developing the very best talent in the North East, ensuring unparalleled quality and expertise in every project they undertake. Their goal is to surpass their clients' expectations, solve challenging problems, and deliver innovative solutions. They operate from their home in the heart of Newcastle City Centre, where they are building a team of exceptional people in an intellectually stimulating environment.
Their Culture
As a newly established business, joining them at this stage offers the exciting opportunity to help define their culture. They emphasise:
Exceptional Talent : They seek individuals with excellent communication skills.
Collaboration : They do their best work together, both internally and with their clients.
Curiosity : They value and embrace curiosity highly.
Passion and Positivity : They want people who are passionate, positive, and capable problem solvers.
Ownership and Trust : They trust their team to take ownership and go the extra mile when needed.
Motivation and Learning : They value highly motivated individuals with a strong desire to learn.
Data Engineering Team
They are building a Data Engineering team to support their clients' needs around the origination, governance, and lifecycle of diverse and varied data sets. You will build relationships directly with their clients' front office and technology teams, using proprietary systems and vendor-sourced data tools to demonstrate the added value of enhanced data capabilities.
Responsibilities
Regular interaction with their clients' front office to understand and scope new data needs or capabilities.
Exploratory evaluation and analysis of a wide variety of industry data sets.
Interaction with and interrogation of various data platforms.
Analysis and implementation of data automation tasks and processes.
Design and implementation of best-practice and pragmatic data governance methodology.
Reviews of data quality monitoring metrics and data quality rule creation.
Operation and incremental build-out of the data platform using in-house and vendor data tools.
Metadata analysis and data catalogue curation to support data discoverability.
Day-to-day data subject matter expert support for the front office across various data sets.
What Makes a Great Candidate
Experience in a data specialist role with a passion for working with data and helping stakeholders leverage its value.
Highly proficient in SQL and Python with demonstrable work experience using both .
Ability to produce high-quality analysis while managing complexity.
High attention to detail and a drive for excellence.
Effective work prioritisation and efficient task management.
Intellectual curiosity, initiative, solution-oriented mindset, and a desire to learn.
A can-do attitude and willingness to work as an integral part of the wider data team.
Ability to complete tasks independently to a high standard with minimal oversight.
Confident verbal and written communication skills, with the ability to explain complex data concepts to non-experts.
A desire to understand and solve business problems, build domain knowledge, and increase market understanding.
Financial Services experience is a bonus, but not essential.
A minimum 2.1 degree in Computer Science or a related field, ideally from a Russell Group University.
Why Join Them?
Impact from Day One : They empower and trust their people to leverage their skillsets from the start.
Diverse Projects : Work on a wide variety of projects alongside exceptionally talented people, often closely correlated to world events and trends.
Direct Value Delivery : Deliver demonstrable business value by working hand-in-hand with the customer.
Learning Opportunities : Learn from industry experts about financial markets and world economies.
Ownership : Engage with a wide range of business functions to leverage your knowledge and exposure.
Innovation : Challenge current systems and processes to achieve common goals through technical excellence and innovation.
If you are a great Data Engineer and communicator who loves working on demanding initiatives and solving challenging problems, this could be the right place for you. Join them to make a difference from the heart of Newcastle City Centre.

#J-18808-Ljbffr

Related Jobs

View all jobs

Senior Data Engineer

Senior Data Engineer - Snowflake - £100,000 - London - Hybrid

Senior Data Engineer

Senior Data Engineer

Senior Data Engineer

Senior 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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning 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 type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

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

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning 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 developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning 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 ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.