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

Nominate & Attend

Data Engineer - £45k - £75k

Oliver Bernard
Liverpool
1 week 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.

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.

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.

Part-Time Study Routes That Lead to Data Science Jobs: Evening Courses, Bootcamps & Online Masters

Data science sits at the intersection of statistics, programming and domain expertise—unearthing insights that drive business decisions, product innovation and research breakthroughs. In the UK, organisations from fintech and healthcare to retail and public sector are investing heavily in data-driven strategies, fuelling unprecedented demand for data scientists, machine learning engineers and analytics consultants. According to recent projections, data science roles will grow by over 40% in the next five years, offering lucrative salaries and varied career paths. Yet many professionals hesitate to leave their current jobs or pause personal commitments for full-time study. The good news? A vibrant ecosystem of part-time learning routes—Evening Courses, Intensive Bootcamps and Flexible Online Master’s Programmes—empowers you to learn data science while working. This comprehensive guide explores every pathway: foundational CPD units and short courses, hands-on bootcamps, accredited online MScs, plus funding options, planning strategies and a real-world case study. Whether you’re an analyst looking to formalise your skills, a software developer pivoting into data or a manager seeking to harness data-driven decision-making, you’ll find the right route to fit your schedule, budget and career goals.

The Ultimate Assessment-Centre Survival Guide for Data Science Jobs in the UK

Assessment centres for data science positions in the UK are designed to replicate the multifaceted challenges of real-world analytics teams. Employers combine psychometric assessments, coding tests, statistical reasoning exercises, group case studies and behavioural interviews to see how you interpret data, build models, communicate insights and collaborate under pressure. Whether you’re specialising in predictive modelling, NLP or computer vision, this guide provides a step-by-step roadmap to excel at every stage and secure your next data science role.