Junior Data Engineer

Nasstar

4d • Hybrid

About The Position

Join Colibri Digital 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. 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. Appreciate if you can apply only if you fit the above criteria. About the Role 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.

Requirements

• 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 learn and continuously develop.
• Ability to work independently and collaboratively.

Nice To Haves

• Exposure to Azure, AWS or Databricks.
• Experience using Git or other version control systems.
• Understanding of relational databases and data modelling.
• Familiarity with ETL/ELT concepts.
• Experience gained through university projects, hackathons or personal development.

Responsibilities

• 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.

Benefits

• Competitive salary.
• Structured graduate development programme.
• Dedicated mentoring from experienced consultants.
• Exposure to modern Cloud, Data and AI technologies.
• Opportunity to work alongside recognised technical experts.
• Clear career progression into a customer-facing Data Engineering Consultant role.
• Regular technical training and certification support.
• Flexible remote working with regular team meet-ups and socials.
• A collaborative culture focused on learning, innovation and technical excellence.

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level