Graduate Data Engineer: Cloud Data & AI

Colibri Digital

Greater London

Hybrid

GBP 28.000 - 38.000

Vollzeit

Vor 6 Tagen
Sei unter den ersten Bewerbenden

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Benefits dieser Stelle

Competitive salary
Structured graduate development
Dedicated mentoring
Exposure to modern Cloud, Data and AI
Career progression into a data eng. &顾

Zusammenfassung

Colibri Digital is seeking a Graduate Data Engineer to join our growing Data Engineering Practice. The role is designed for someone at the start of their career who is passionate about technology and eager to become a data engineering consultant.

During the first 12 months, you'll follow a structured development programme combining formal training, mentoring and hands-on engineering experience across SQL, Python, Git, Databricks, Azure and modern cloud data engineering.

Qualifikationen

  • Degree (or expected degree) in STEM field.
  • Approximately 6-12 months' practical experience through placement/internship.
  • Basic knowledge of SQL.
  • Basic knowledge of Python.

Aufgaben

  • Develop and maintain internal reporting solutions.
  • Build and improve reusable engineering frameworks and templates.
  • Produce technical documentation and engineering guidance.
  • Support development of internal tooling for delivery quality.

Kenntnisse

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

Ausbildung

Bachelor's degree or equivalent in Computer Science / Data Science / Software Engineering

Tools

Databricks
Azure
Git

Jobbeschreibung

Colibri Digital is seeking a Graduate Data Engineer to join our growing Data Engineering Practice. The role is designed for someone at the start of their career who is passionate about technology and eager to become a data engineering consultant.

During the first 12 months, you'll follow a structured development programme combining formal training, mentoring and hands-on engineering experience across SQL, Python, Git, Databricks, Azure and modern cloud data engineering.

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