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Junior Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Harrington Starr
Full Time position
Listed on 2026-06-19
Job specializations:
  • IT/Tech
    Data Engineering, Data Analyst, Data Science Manager
Salary/Wage Range or Industry Benchmark: 40000 GBP Yearly GBP 40000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

We are seeking a Junior Data Engineer to join a data-focused team within a leading financial services organisation. This is an excellent opportunity for a recent graduate or early-career professional looking to develop practical data engineering skills while working with large-scale datasets and business-critical information.

The Role

You will support the development and maintenance of data infrastructure that enables analysis, reporting, and decision-making across the business. Working alongside experienced analysts and technology professionals, you'll help improve data quality, streamline processes, and contribute to the delivery of valuable insights.

Key Responsibilities
  • Build and maintain data pipelines and workflows.
  • Support the collection, transformation, and delivery of data for analytical purposes.
  • Ensure data accuracy, consistency, and reliability across systems.
  • Help automate manual processes and improve operational efficiency.
  • Work with stakeholders to understand data requirements and support reporting needs.
  • Contribute to ongoing improvements in data architecture and engineering practices.
Requirements
  • Degree in Computer Science, Mathematics, Engineering, Data Science, or a related discipline, or up to one year of relevant work experience.
  • Strong SQL and Python skills.
  • Understanding of data engineering concepts, databases, and ETL processes.
  • Strong analytical and problem-solving abilities.
  • Excellent attention to detail and willingness to learn.
  • Exposure to data engineering or orchestration tools such as Airflow, dbt, Spark, or similar technologies.
  • Familiarity with cloud platforms including AWS, Azure, or GCP.
  • Experience working with large or complex datasets through academic, personal, or professional projects.
  • Interest in data, analytics, and technology within a commercial environment.
What's on Offer
  • A supportive environment with strong learning and development opportunities.
  • Exposure to modern data technologies and real-world business challenges.
  • The opportunity to work closely with experienced professionals and accelerate your career in data engineering.
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