Data Engineer - FinTech Company - Newcastle

Noir
Newcastle upon Tyne, England
10 months ago
Applications closed

Related Jobs

View all jobs
Spotlight

Machine Learning Engineer - National Security (Gloucestershire)

Mind Foundry Gloucester, Gloucestershire, United Kingdom
On-site Clearance Required
Spotlight

Senior ML Compiler Engineer

Fractile Bristol, United Kingdom

Data Engineer

Sanderson Cardiff, Cymru / Wales, CF10 2AF, United Kingdom
£60,000 – £72,000 pa Hybrid

Data Engineer

Saffron housing Norwich, United Kingdom
£56,000 pa On-site

Data Engineer

Sanderson Bristol, United Kingdom
£45,000 – £48,000 pa Permanent

Data Engineer

Relation Therapeutics London, United Kingdom
Permanent
Posted
3 Jul 2025 (10 months ago)

Data Engineer - FinTech Company - Newcastle
(Tech Stack: Data Engineer, Databricks, Python, Azure, Power BI, AWS QuickSight, AWS, TSQL, ETL, Agile Methodologies)
I'm working with a leading Software House in the FinTech industry, based in Newcastle, who are looking to hire a talented Data Engineer .This is a fantastic opportunity to join a forward-thinking company where you'll play a key role in developing and optimising their data platform.
The Role:
As a Data Engineer , you'll be working closely with the front office to understand data needs and help shape the company's data capabilities.You'll be responsible for building and optimising data pipelines, automating data processes, and ensuring high data quality and governance.
Key Responsibilities:
Collaborate with the front office to scope and understand data requirements.
Build and maintain the data platform using in-house and third-party tools.
Automate data processes to improve efficiency and scalability.
Develop robust data pipelines to ingest and transform data from multiple providers.
Curate both external and internal datasets to meet business needs.
Design and implement best-practice data architecture and governance strategies.
Establish and maintain data quality standards and validation rules.
What They're Looking For:
Experience in a data-focused role, with a strong passion for working with data and delivering value to stakeholders.
Strong proficiency in SQL, Python, and Apache Spark , with hands-on experience using these technologies in a production environment.
Experience with Databricks and Microsoft Azure is highly desirable.
Financial Services experience is a plus but not essential.
Excellent communication skills, with the ability to explain complex data concepts in a clear and concise manner.
Ability to work autonomously and take ownership of tasks while maintaining high standards.
Strong problem-solving skills, with a focus on creating scalable, high-quality solutions.
Detail-oriented, with a keen eye for spotting data inconsistencies.
A genuine interest in understanding and solving business challenges through data.
A 2:1 or higher degree in Computer Science or a related field , ideally from a top-tier university .
Why Join?
This is a great opportunity to work with cutting-edge technology in a thriving FinTech environment.You'll be part of a talented and collaborative team, with plenty of opportunities for growth and career development.
If you're a Data Engineer looking for your next challenge, I'd love to hear from you!
Location: Newcastle, UK
Salary: Competitive + Bonus + Pension + Benefits
Applicants must be based in the UK and have the right to work in the UK even though remote work is available.
To apply for this position please send your CV to Matt Jones at Noir.
NOIRUKTECHREC
NOIRUKREC
NC/RG/DE

#J-18808-Ljbffr

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Where to Advertise Machine Learning Jobs in the UK (2026 Guide)

Advertising machine learning jobs in the UK requires a different approach to most technical hiring. The candidate pool is small, highly specialised and in demand across AI labs, financial services, healthcare, autonomous systems and consumer technology simultaneously. Machine learning engineers and researchers move between roles through professional networks, conference communities and specialist platforms — not general job boards where ML roles compete with unrelated software engineering positions for the same audience. This guide, published by MachineLearningJobs.co.uk, covers where to advertise machine learning 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.

Machine Learning Jobs UK 2026: What to Expect Over the Next 3 Years

Machine learning has undergone a transformation that few technology disciplines can match. In the space of three years it has moved from a specialism sitting at the edges of most organisations' technology strategies to a capability that sits at the centre of them. The tools have changed, the expectations have shifted, and the range of industries treating machine learning as a core business function — rather than an experimental one — has expanded dramatically. For job seekers, this creates both opportunity and complexity in roughly equal measure. The machine learning jobs market of 2026 is significantly larger than it was three years ago, but it is also significantly more demanding. Employers have developed more sophisticated expectations, the technical bar for specialist roles has risen, and the landscape of tools, frameworks, and architectural patterns that practitioners are expected to know has broadened considerably. The candidates who will thrive over the next three years are those who understand where the discipline is heading — which specialisms are attracting the most investment, which technologies are reshaping what machine learning engineers and researchers are expected to build, and how the definition of a machine learning career is evolving beyond the model-building core toward a much wider range of roles across the full ML lifecycle. This article breaks down what the UK machine learning jobs market is likely to look like through to 2028 — covering the titles emerging right now, the technologies driving employer demand, the skills that will matter most, and how to position your career ahead of the curve.

New Machine Learning Employers to Watch in 2026: UK and Global Companies Driving ML Innovation

Machine learning (ML) has transitioned from a specialised field into a core business capability. In 2026, organisations across healthcare, finance, robotics, autonomous systems, natural language processing, and analytics are expanding their machine learning teams to build scalable intelligent products and services. For professionals exploring opportunities on www.MachineLearningJobs.co.uk , understanding the companies that are scaling, winning investment, or securing high‑impact contracts is crucial. This article highlights the new and high‑growth machine learning employers to watch in 2026, focusing on UK innovators, international firms with significant UK presence, and global platforms investing in machine learning talent locally.