Senior Data Engineer

Randstad Technologies Recruitment
Newcastle upon Tyne, England
10 months ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Ageas Insurance Limited Reigate, RH2 0AA, United Kingdom
£70,000 – £85,000 pa Hybrid

Senior Data Engineer

Synthesia London, United Kingdom
Hybrid

Senior Data Engineer - Microsoft Fabric

Harvey Nash London, United Kingdom
£80,000 – £90,000 pa Hybrid

Senior Data Platform Engineer

ITSS Recruitment London, United Kingdom
£70,000 – £100,000 pa Remote

Senior Data & Machine Learning Engineer

Forward Role Warrington, United Kingdom
£55,000 – £65,000 pa Hybrid

Senior Simulation Data Engineer

PhysicsX London, United Kingdom
Posted
23 Jun 2025 (10 months ago)

Data Engineer | Newcastle upon Tyne | Highly Competitive Salary

We're working with a leading technology consulting firm in the Financial Services and Alternative Investment sectors, seeking a talented Senior Data Engineer to join their growing team. This is a fantastic opportunity to make an impact from day one, collaborating with a dynamic group of professionals and solving complex data challenges across multiple asset classes.

The Role

As a Data Engineer, you'll be responsible for developing, testing, and maintaining the firm's data platform. You'll work closely with both front office and technology teams to ensure the availability, reliability, and integrity of data. This role offers exposure to a wide variety of data types and provides opportunities to work with cutting-edge tools and technologies.

This as a 5 days a week on site role based in Newcastle.

Key Responsibilities

Collaborate with front office teams to understand and scope data needs.
Build and optimise the data platform using in-house and vendor tools.
Automate data processes and workflows to improve operational efficiency.
Design and implement data pipelines to integrate internal and external datasets.
Establish best-practice data design and enforce data quality standards.
Maintain the availability and integrity of data for critical business functions.

What We're Looking For

Our client is a leading organisation in their sector, committed to attracting exceptional candidates with strong academic credentials from prestigious institutions, alongside a proven record of relevant professional experience."

Proven experience in a data specialist role with a passion for solving data-related problems.
Expertise in SQL, Python, and Apache Spark, with experience working in a production environment.
Familiarity with Databricks and Microsoft Azure is a plus.
Financial Services experience is a bonus, but not required.
Strong verbal and written communication skills, with the ability to explain complex data concepts.
Exceptional problem-solving abilities, with a focus on delivering scalable and high-quality solutions.
Ability to thrive in a fast-paced environment and manage multiple tasks simultaneously.
A degree (2:1 or above) in Computer Science or a related field (preferably from a Russell Group University).

Randstad Technologies Ltd is a leading specialist recruitment business for the IT & Engineering industries. Please note that due to a high level of applications, we can only respond to applicants whose skills & qualifications are suitable for this position. No terminology in this advert is intended to discriminate against any of the protected characteristics that fall under the Equality Act 2010. For the purposes of the Conduct Regulations 2003, when advertising permanent vacancies we are acting as an Employment Agency, and when advertising temporary/contract vacancies we are acting as an Employment Business

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.

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.

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.

How Many Machine Learning Tools Do You Need to Know to Get a Machine Learning Job?

Machine learning is one of the most exciting and rapidly growing areas of tech. But for job seekers it can also feel like a maze of tools, frameworks and platforms. One job advert wants TensorFlow and Keras. Another mentions PyTorch, scikit-learn and Spark. A third lists Mlflow, Docker, Kubernetes and more. With so many names out there, it’s easy to fall into the trap of thinking you must learn everything just to be competitive. Here’s the honest truth most machine learning hiring managers won’t say out loud: 👉 They don’t hire you because you know every tool. They hire you because you can solve real problems with the tools you know. Tools are important — no doubt — but context, judgement and outcomes matter far more. So how many machine learning tools do you actually need to know to get a job? For most job seekers, the real number is far smaller than you think — and more logically grouped. This guide breaks down exactly what employers expect, which tools are core, which are role-specific, and how to structure your learning for real career results.