Junior Data Engineer

Born in the cloud, Colibri is one of the fastest-growing Cloud Consultancies in the UK. We are Select partners with AWS and our recent attainment of Gold competency with Microsoft proves our excellence in evolving cloud and data technologies.

Services

Remote, UK

Our culture is built around trust, continuous learning and technical excellence. You'll work alongside experienced consultants who are passionate about developing people and sharing knowledge, giving you the opportunity to accelerate your career from day one.

Please Note: To be considered for this opportunity, you must:

• Have the unrestricted right to work in the UK (we are unable to offer visa sponsorship for this position).
• Be based in the UK and be able to travel to London when required for team collaboration, training and customer engagements.
• Have approximately 6-12 months' practical experience in industry, ideally software engineering through a placement year, internship, graduate programme or similar commercial experience.
• Recent graduates with relevant placement or internship experience are strongly encouraged to apply.

We're looking for an ambitious Graduate Data Engineer to join our growing Data Engineering Practice.

This is an exciting opportunity for someone at the start of their career who is passionate about technology and wants to become a data engineering consultant.

During your first 12 months, you'll follow a structured development programme combining formal technical training, mentoring and hands-on engineering experience. You'll develop practical skills across SQL, Python, Git, Databricks, Azure and modern cloud data engineering before progressing into customer-facing consultancy work.

Initially, you'll take ownership of internal engineering initiatives including reporting, reusable frameworks, engineering assets and technical documentation. As your capability develops, you'll begin contributing to customer projects alongside our experienced consultants.

This role has been created to strengthen our internal engineering capability whilst providing an accelerated development pathway into consulting.

• Develop and maintain internal reporting solutions that support operational and business decision-making.
• Build, maintain and improve reusable engineering frameworks, templates and accelerators.
• Produce high-quality technical documentation, standards and engineering guidance.
• Support the development of internal tooling that improves delivery consistency and engineering quality.
• Learn and apply data engineering best practices through structured mentoring and formal training.
• Work alongside experienced Data Engineers to understand cloud data platforms and modern engineering techniques.
• Participate in code reviews and technical knowledge sharing.
• Shadow customer workshops and consulting engagements.
• Gradually contribute to customer delivery projects as your technical capability develops.
• Continuously build your technical knowledge across Cloud, Data and AI technologies.

• SQL
• Python
• Git
• Databricks
• Azure Data Services
• Data modelling
• ETL & ELT engineering
• CI/CD fundamentals
• Data engineering best practices
• Technical documentation
• Consulting and stakeholder management
• Customer delivery

• Degree (or expected degree) in Computer Science, Data Science, Software Engineering, Mathematics or another relevant STEM subject.
• Approximately 6-12 months' practical experience through a placement year, internship or graduate programme.
• Basic knowledge of SQL.
• Basic knowledge of Python.
• Strong analytical and problem-solving skills.
• Excellent written and verbal communication skills.
• Genuine enthusiasm for Cloud, Data Engineering and AI technologies.
• Strong attention to detail.
• Willingness to…