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

Apply Now

Data Engineer Apprentice. Job in Leeds Education & Training Jobs

QA
Leeds
2 days ago
Create job alert
Employer description

TransUnion is a major credit reference agency, and offer specialist services in fraud, identity and risk management, automated decisioning and demographics. We support organisations across a variety of sectors including finance, retail, telecommunications, utilities, gaming, government and insurance.


Overview

TransUnion looking for a Data Engineer Apprentice to join their growing Data Bureau team in Leeds. You'll play a pivotal role in delivering high-impact data solutions that shape the future of credit and financial services in the UK. You'll work closely with internal teams to coordinate data appends, ensure quality, and drive process improvements that enhance our service delivery. Alongside, you'll study for the Level 5 Data Engineer Apprenticeship.


Responsibilities

  • Manage batch appends through the end-to-end cycle, including file appraisal and feedback, processing, quality control and delivery
  • Collaborate with Client Management and Analytics teams to deliver customer value
  • Work closely with teams in other geographical regions
  • Prioritise effectively to meet client SLAs and business objectives
  • Leverage engineering capabilities to champion transformative improvements to batch processes
  • Use collaborative tools and agile techniques to manage technical process improvements
  • Enhance skills in version control tools to ensure traceability, code quality, and efficient team collaboration

Desirable skills & experience

  • Strong organisational skills
  • Excellent communication skills-both written and verbal
  • High attention to detail and ability to troubleshoot issues effectively
  • Passion for service excellence and continuous improvement
  • Ability to prioritise workload based on client contracts
  • Basic Microsoft Excel, SQL, and PowerPoint
  • Experience using R or Python
  • Experience as a Data Analyst
  • Experience in a regulated environment, ideally in financial services
  • Knowledge of the credit industry
  • Knowledge of process improvements techniques

Entry requirements

A Level 3 qualification in a relevant area in any grade.


Acceptable qualifications include, any of:



  • Two A levels in one or more similar subject.
  • Level 3 apprenticeship in a similar subject.
  • International Baccalaureate at Level 3 in a similar subject.
  • BTEC Extended Diploma in a similar subject.
  • Experience with programming languages (such as Python)
  • OR equivalent work experience:
  • 2-3 years in a similar subject-related role.

'Similar subject' relates to areas directly relevant to or commensurate with 'Digital and Technology Solutions'. Typically this would be areas such as but not limited to Level 3 digital apprenticeships, A-Level/BTEC Computer Science, Information Technology, Networking, Software Engineering, etc.


PLEASE NOTE

Learners must not hold an existing qualification at the same or higher level than this apprenticeship in a similar subject.


You may also have a combination of qualifications and experience which demonstrate the minimum foundation needed for the programme. In this instance you could still be considered for the programme.


If you hold international equivalents of the above qualifications, at the time of your application you must be able to provide an official document that states how your international qualifications compare to the UK qualifications.


FOR MORE INFORMATION

For more information please visit the UK ENIC website.


WORKING HOURS

37.5 hours per week, 8am - 4.30pm with 1 hour lunch break. This is a hybrid role with 2 days in the office per week.


BENEFITS

  • At TransUnion you will be joining a friendly, forward thinking global business.
  • 26 days' annual leave + bank holidays (increasing with service)
  • Global paid wellness days off + a bonus day off to celebrate your birthday
  • A generous contributory pension scheme + access to the TransUnion employee Stock Purchase Plan
  • Private health care + a variety of physical, mental and financial fitness wellbeing programmes such as access to mindfulness tools
  • Access to our diversity forums and communities so you can get involved in causes close to your heart

FUTURE PROSPECTS

90% of QA apprentices secure permanent employment after completing: this is 20% higher than the national average.


ABOUT QA

Our apprenticeships are the perfect way to gain new skills, earn while you learn, and launch yourself into an exciting future. With over 50,000 successful apprenticeship graduates, we're a top 50 training provider, dedicated to helping you succeed.


INTERESTED? APPLY NOW!

Interested? Apply now!


NOTE

Be advised that this advert may close prior to the closing date stated above if a high number of applications are received. If you are interested in this vacancy please apply below as soon as possible.


#J-18808-Ljbffr

Related Jobs

View all jobs

Data Analyst Apprentice

Data Analyst Apprentice

Data Analyst Apprentice - (req69228)

Data Engineer Apprentice...

Data Engineer Apprentice

Data Engineer Apprentice

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.

Data Science Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK data science hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise rigorous problem framing, high‑quality analytics & modelling, experiment/causality, production awareness (MLOps), governance/ethics, and measurable product or commercial impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for product/data scientists, applied ML scientists, decision scientists, econometricians, growth/marketing analysts, and ML‑adjacent data scientists supporting LLM/AI products. Who this is for: Product/decision/data scientists, applied ML scientists, econometrics & causal inference specialists, experimentation leads, analytics engineers crossing into DS, ML generalists with strong statistics, and data scientists collaborating with platform/MLOps teams in the UK.

Why Data Science Careers in the UK Are Becoming More Multidisciplinary

Data science once meant advanced statistics, machine learning models and coding in Python or R. In the UK today, it has become one of the most in-demand professions across sectors — from healthcare to finance, retail to government. But as the field matures, employers now expect more than technical modelling skills. Modern data science is multidisciplinary. It requires not just coding and algorithms, but also legal knowledge, ethical reasoning, psychological insight, linguistic clarity and human-centred design. Data scientists are expected to interpret, communicate and apply data responsibly, with awareness of law, human behaviour and accessibility. In this article, we’ll explore why data science careers in the UK are becoming more multidisciplinary, how these five disciplines intersect with data science, and what job-seekers & employers need to know to succeed in this transformed field.

Data Science Team Structures Explained: Who Does What in a Modern Data Science Department

Data science is one of the most in-demand, dynamic, and multidisciplinary areas in the UK tech and business landscape. Organisations from finance, retail, health, government, and beyond are using data to drive decisions, automate processes, personalise services, predict trends, detect fraud, and more. To do that well, companies don’t just need good data scientists; they need teams with clearly defined roles, responsibilities, workflows, collaboration, and governance. If you're aiming for a role in data science or recruiting for one, understanding the structure of a data science department—and who does what—can make all the difference. This article breaks down the key roles, how they interact across the lifecycle of a data science project, what skills and qualifications are typical in the UK, expected salary ranges, challenges, trends, and how to build or grow an effective team.