Degree Apprentice Data Analytics Engineer 2027

Uniting what’s next in traffic. Help shape the future of mobility.

Every day, millions of people rely on technology that helps keep journeys safe, efficient and sustainable.

At Yunex Traffic, we’re helping create safer, smarter and more sustainable journeys through intelligent transport solutions used by millions of people every day. From traffic signals and tunnel management systems to digital mobility technologies, we’re shaping the future of transport across the globe.

We’re looking for the next generation of Emerging Talent to bring fresh ideas, challenge thinking and help shape the future of mobility.

As a Degree Apprentice, you’ll gain real-world experience, work towards a recognised degree qualification and develop the skills needed to build a successful career, all while earning a salary.

Life as Emerging Talent

Joining Yunex means becoming part of a nationwide Emerging Talent community, connecting apprentices, degree apprentices, interns and graduates from across the business.

Alongside your day-to-day role, you’ll have opportunities to:

• Build relationships with colleagues across the business
• Learn from experienced professionals and senior leaders
• Develop key professional and leadership skills
• Collaborate on business-wide impact projects
• Take part in volunteering and community initiatives
• Work with stakeholders from across the business and gain exposure to different teams, functions and specialisms
• Grow your network through events and development activities

As part of your Degree Apprenticeship, you’ll combine practical workplace experience with academic study, enabling you to apply your learning directly to real projects and business challenges.

What you’ll be doing

From day one, you’ll become part of the team, contributing to live projects and gaining practical experience through meaningful work and real responsibility.

• Data Engineering & Integration – Build and maintain data pipelines that ingest, transform and integrate data from business systems, APIs and other sources.
• AWS Data Platforms – Develop and support cloud data solutions using services such as S3, Glue, Redshift, Redshift Spectrum, Lambda and IAM.
• Data Transformation – Use SQL and Python to transform, validate and prepare data for reporting, analytics and downstream applications.
• Data Modelling – Design and maintain robust data models, including dimensional models, fact and dimension structures, relationships and reusable business measures.
• Power BI & Semantic Modelling – Develop Power BI semantic models, reports and dashboards using Power Query, DAX and modern data visualisation techniques.
• Thick/Thin Analytics Architecture – Help develop governed, reusable semantic models that provide consistent business logic and measures to multiple lightweight Power BI reports.
• Data Quality – Build validation, reconciliation and data-quality controls to ensure information is accurate, complete, consistent and trustworthy.
• Data Management & Governance – Support good data-management practices including metadata, data lineage, data definitions, ownership, classification and lifecycle management.
• Security & Access – Apply appropriate security controls across AWS and Power BI, including IAM, least privilege, encryption and row-level security.
• Automation & Deployment – Use Git, CI/CD and Infrastructure as Code tools such as Terraform to support controlled, repeatable development and deployment.
• Monitoring & Optimisation – Monitor and troubleshoot data pipelines and reporting solutions, improving reliability, performance, scalability and cost efficiency.

Course length: 4 years

Qualifications & experience

• 4 GCSEs at 4 or above, including Maths and English (or Functional Skills/ Apprenticeship equivalent)
• 3 A-Levels at grade C or above, or BTEC equivalent
• A keen interest in data, Data Management and/or Data Engineering
• Have good communication skills, both written and verbal
• Demonstrate effective listening and teamwork skills, to create a collaborative work environment and strengthen relationships
• Be IT literate; able to use Microsoft Office packages, including Word, Excel and Outlook
• Enjoy collaborating with others to find innovative solutions
• Have a willingness to self-learn, research and take a creative approach to problem solving
• Possess good organisational and time management skills to assist in completing the academic qualifications and occupational skills developments within this apprenticeship
• Take ownership of challenges and ideas
• Be forward thinking and inquisitive
• Whilst not essential, it would be a bonus if you already have experience with: Cloud Technologies, and Kubernetes

What you’ll get

• Salary of £22,000
• Fully funded degree qualification
• Annual bonus opportunity
• 26 days holiday plus bank holidays
• Flexible benefits package, to suit your needs
• Pension scheme
• Exposure to a wide range of business functions and stakeholders
• Employee assistance programme
• Learning and development opportunities
• Professional qualifications (where applicable)
• Career development support and progression opportunities

Our commitment

Recruitment process

Applications for our Degree Apprenticeship opportunities close on 31st December 2026.

Depending on the role, successful candidates will be invited to attend either an Assessment Centre or an interview.

Our selection process may include group exercises, presentations, interviews and other activities designed to help us learn more about your strengths, skills and suitability for the role.

Recruitment activities will take place during February 2027.

Our Degree Apprenticeship opportunities are due to commence on 31st August 2027, so you’ll need to be available to start from this date.

What else do I need to know?

Please note that we are unable to offer visa sponsorship for our Emerging Talent programmes, including Apprenticeships, Degree Apprenticeships, Internships and Graduate opportunities.