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Junior Data Engineer

Colibri Digital

Remote · Full Time

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Experience
Up to 1 yrs
Salary
Openings
1
Posted
7 മണിക്കൂർ മുൻപ്
Work mode
Work from home
Education
Degree or expected degree in Computer Science, Data Science, Software Engineering, Mathematics, or a related STEM discipline
Eligibility
Applicants must have the unrestricted legal right to work in the UK without visa sponsorship and be based in the UK with the ability to travel to London as needed for collaborative activities and training.
Resume
Required to apply

Job description

About Colibri Digital

Colibri Digital is a rapidly expanding cloud consultancy in the UK, specializing in cloud and data technologies. As Select AWS partners and holders of Microsoft Gold competency, they excel in evolving technology solutions. The company fosters a culture based on trust, continuous education, and technical expertise, offering new hires the chance to grow their careers alongside seasoned consultants from day one.

Role Overview

This entry-level Graduate Data Engineer position is designed for individuals passionate about technology and aspiring to a consultation career in data engineering. The first year involves a structured training program blending formal education, mentoring, and practical engineering tasks, focusing on tools such as SQL, Python, Git, Databricks, Azure, and modern cloud data practices.

Responsibilities

  • Create and manage internal reporting systems that aid business and operational decision-making.
  • Develop and refine reusable engineering frameworks, templates, and acceleration tools.
  • Produce comprehensive technical documentation, standards, and guidelines.
  • Assist in building tools that enhance engineering quality and consistency in delivery.
  • Engage in learning data engineering best practices under expert mentorship and technical training.
  • Collaborate with senior data engineers to gain insights into cloud data platforms and current engineering methodologies.
  • Participate in code reviews and knowledge-sharing sessions.
  • Observe client workshops and consultancy activities.
  • Incrementally contribute to client projects as skills advance.
  • Continually expand expertise in Cloud, Data, and AI technologies.

Learning Opportunities

  • Hands-on experience with SQL, Python, Git, Databricks, and Azure Data Services.
  • Training in data modeling, ETL/ELT engineering, and CI/CD basics.
  • Developing skills in documentation, consulting, stakeholder management, and customer delivery.

Candidate Profile

Essential Qualifications and Experience:

  • Degree or anticipated degree in Computer Science, Data Science, Software Engineering, Mathematics, or related STEM field.
  • Between six to twelve months of practical industry experience gained through internships, placement years, or graduate schemes.
  • Basic proficiency in SQL and Python.
  • Strong analytical capacity and problem-solving aptitude.
  • Effective verbal and written communication skills.
  • Sincere interest in Cloud, Data Engineering, and AI technologies.
  • High attention to detail and a strong desire to learn continuously.
  • Ability to work both autonomously and collaboratively.

Desirable Knowledge and Experience:

  • Familiarity with Azure, AWS, or Databricks platforms.
  • Experience with Git or similar version control tools.
  • Understanding of relational database concepts and data modeling.
  • Acquaintance with ETL/ELT processes.
  • Experience from university projects, hackathons, or independent learning endeavors.

Ideal Traits

  • Curious and enthusiastic about technology.
  • Comfortable seeking guidance and learning from peers.
  • Organized and attentive to detail.
  • Natural problem solver who thrives in team environments.
  • Committed to building a career in Data Engineering and Consulting.

Work Environment and Location

This role is primarily remote but requires occasional visits to the London office and client locations for collaboration, training, workshops, and team events.

Benefits and Development

  • Competitive compensation package.
  • Comprehensive graduate development program.
  • Personalized mentoring from experienced professionals.
  • Exposure to cutting-edge Cloud, Data, and AI technologies.
  • Opportunity to collaborate with industry experts.
  • Clear progression path into a client-facing Data Engineering Consultant role.
  • Access to regular training and certification support.
  • Flexible remote working combined with periodic team building activities and social events.
  • A welcoming culture centered on learning, innovation, and technical excellence.

Additional Information

  • Applicants must have unrestricted UK work authorization as visa sponsorship is not provided.
  • Applicants should reside in the UK and be able to travel to London for essential team activities.
  • Recent graduates with relevant industry experience are encouraged to apply.

Work styles they’re looking for

Communication Problem Solving Collaboration Attention to Detail Continuous learning

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