Junior Data Engineer (Cloud Data Engineering)

Location: Remote within the UK; attendance at the London office and customer locations is required when needed for collaboration, training, workshops and team events. Unrestricted UK right to work is required; visa sponsorship is not available.

Company

hirify.global, through Colibri Digital, is a UK cloud consultancy delivering secure, scalable solutions using modern cloud, data and AI technologies.

What you will do

• Develop and maintain internal reporting solutions for operational and business decision-making.
• Build and improve reusable engineering frameworks, templates, accelerators and internal tooling.
• Create technical documentation, engineering standards and guidance.
• Learn and apply data engineering practices through formal training, mentoring and hands-on work.
• Participate in code reviews, technical knowledge sharing and customer workshop shadowing.
• Progressively contribute to customer delivery projects as technical capability develops.

Requirements

• Degree or expected degree in Computer Science, Data Science, Software Engineering, Mathematics or another relevant STEM subject.
• Approximately 6–12 months of practical industry experience through a placement, internship or graduate programme.
• Basic knowledge of SQL and Python.
• Strong analytical, problem-solving, communication and attention-to-detail skills.
• Ability to work independently and collaboratively, with enthusiasm for cloud, data engineering and AI technologies.
• Must be based in the UK, have unrestricted UK work rights and be able to travel to London when required; visa sponsorship is unavailable.

Nice to have

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

Culture & Benefits

• Structured graduate development programme with dedicated mentoring.
• Regular technical training and certification support.
• Exposure to modern cloud, data and AI technologies and recognised technical experts.
• Flexible remote working with regular team meet-ups and socials.
• Clear progression into a customer-facing Data Engineering Consultant role.

Hiring process

• Screening interview and technical interview.
• Technical exercise.
• Second-stage interview and final interview.