Degree Apprentice - Data Analytics Engineer
You'll gain real-world experience, work towards a degree qualification and develop the skills needed to build a successful career, all while earning a salary. You'll combine practical workplace experience with academic study, enabling you to apply your learning directly to real projects and business challenges.
Role
What you’ll be doing:
- 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
Training
- Part of being an apprentice at Yunex Traffic means you get to work on real life projects whilst also being supported on a guided learning journey
- This will be a 4 -year apprenticeship where you will be put onto the Machine Learning standard with a pathway into Software
- You will virtually attend Cambridge Spark on a 1-day a week basis with check ins and sessions each quarter
- Permanent employment after apprenticeship in out DevOps Team
- Apprenticeship Standard
- Machine learning engineer (level 6)
- Training Provider
- CAMBRIDGE SPARK LIMITED
- Working Week
- Monday to Friday, 9.00am to 5.00pm. Hybrid working role where you may be able to work from home for 2 days a week.
- Expected Duration
- 4 Years
- Positions Available
- 1
- Closing Date
- Thursday, 31st December 2026
- Start Date
- Tuesday, 31st August 2027
Desired Skills
- Communication skills
- IT skills
- Attention to detail
- Organisation skills
- Problem solving skills
- Presentation skills
- Number skills
- Analytical skills
- Logical
- Team working
- Curiosity
- Data Management
- Inquisitive
Qualifications
- English GCSE, grade 4 (Essential)
- Maths GCSE, grade 4 (Essential)
- 3 A-Levels A Level, grade C or above, or BTEC equivalent (Essential)
About the Employer
Yunex Traffic
We operate in 24 countries around the world and make infrastructure permanently environmentally friendly and efficient with cutting-edge digital technology in hundreds of cities. Our smart mobility solutions are currently deployed in major cities around the world, including Dubai, London, Berlin, Bogota and Miami. We have 3100+ employees from 58 nations in our 24 offices all over the world.