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

Apply Now

Data Engineer - £45k - £75k

Oliver Bernard
Glasgow
4 months ago
Applications closed

Related Jobs

View all jobs

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Data Engineer

Newcastle - 5 days a week onsite in Newcastle

Salaries paying £45k - £75k + Bonuses

Minimum 2.1 degree in Computer Science or related field, from a Russell Group University required for this role.


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 languages.
  • 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.

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.

Why the UK Could Be the World’s Next Machine Learning Jobs Hub

Machine learning (ML) is becoming essential to industries across the globe—from finance and healthcare to retail, logistics, defence, and the public sector. Its ability to uncover patterns in data, make predictions, drive automation, and increase operational efficiency has made it one of the most in-demand skill sets in the technology world. In the UK, machine learning roles—from engineers to researchers, product managers to analysts—are increasingly central to innovation. Universities are expanding ML programmes, enterprises are scaling ML deployments, and startups are offering applied ML solutions. All signs point toward a surging need for professionals skilled in modelling, algorithms, data pipelines, and AI systems. This article explores why the United Kingdom is exceptionally well positioned to become a global machine learning jobs hub. It examines the current landscape, strengths, career paths, sector-specific demand, challenges, and what must happen for this vision to become reality.

The Best Free Tools & Platforms to Practise Machine Learning Skills in 2025/26

Machine learning (ML) has become one of the most in-demand career paths in technology. From predicting customer behaviour in retail to detecting fraud in banking and enabling medical breakthroughs in healthcare, ML is transforming industries across the UK and beyond. But here’s the truth: employers don’t just want candidates who have read about machine learning in textbooks. They want evidence that you can actually build, train, and deploy models. That means practising with real tools, working with real datasets, and solving real problems. The good news is that you don’t need to pay for expensive software or courses to get started. A wide range of free, open-source tools and platforms allow you to learn machine learning skills hands-on. Whether you’re a beginner or preparing for advanced roles, you can practise everything from simple linear regression to deploying deep learning models — at no cost. In this guide, we’ll explore the best free tools and platforms to practise machine learning skills in 2025, and how to use them effectively to build a portfolio that UK employers will notice.

Top 10 Skills in Machine Learning According to LinkedIn & Indeed Job Postings

Machine learning (ML) is at the forefront of innovation, powering systems in finance, healthcare, retail, logistics, and beyond in the UK. As organisations leverage ML for predictive analytics, automation, and intelligent systems, demand for skilled practitioners continues to grow. So, which skills are most in demand? Drawing on insights from LinkedIn and Indeed, this article outlines the Top 10 machine learning skills UK employers are looking for in 2025. You'll learn how to demonstrate these capabilities through your CV, interviews, and real-world projects.