Junior Data Engineer £50,000 £55,000 London (hybrid/on Site)

London, United Kingdom

Job Description


Industry: Tech / Data / Start-up
We are partnering with a fast-growing, tech-driven startup to hire a Junior Data Engineer for their London-based team. This is a fantastic opportunity for someone with 1-2 years of experience who's eager to work across the full data lifecycle - from ingestion and transformation to automation and deployment - in a highly technical, agile environment.
The Role
You'll join a collaborative data engineering team helping build a modern, cloud-native data platform. Working directly with experienced engineers, you'll gain hands-on exposure to tools like Python, AWS Lambda, S3, Glue, Athena, SQS, Docker, and more.
Your responsibilities will include:
Designing and maintaining data pipelines using AWS and Python
Supporting analytics, reporting, and internal tools through clean, reliable data
Applying best practices in testing, CI/CD, and infrastructure-as-code
Writing well-documented, production-ready code in a collaborative environment
Learning and adapting quickly to new tools and workflows
What We're Looking For:
1-2 years' experience in a data engineering or technical role
Strong programming fundamentals, ideally in Python
Familiarity with cloud platforms (AWS preferred)
Interest in topics like containers, messaging systems, and scalable data workflows
An eagerness to learn, take ownership, and contribute to a growing team
Excellent communication and problem-solving skills
Why Apply?
This is a rare opportunity to work in a startup environment where your ideas and contributions will have a visible, real-world impact. If you're a self-starter with a passion for building scalable, modern data infrastructure - this is the perfect next step.
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Job Detail

  • Job Id
    JD3152905
  • Industry
    Not mentioned
  • Total Positions
    1
  • Job Type:
    Full Time
  • Salary:
    £50000 - 55000 per year
  • Employment Status
    Permanent
  • Job Location
    London, United Kingdom
  • Education
    Not mentioned