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Data Engineer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Information Tech Consultants
Full Time position
Listed on 2026-09-13
Job specializations:
  • IT/Tech
    Data Engineering, Data Scientist, Data Analyst, Machine Learning/ ML Engineer
Salary/Wage Range or Industry Benchmark: 28000 - 36000 GBP Yearly GBP 28000.00 36000.00 YEAR
Job Description & How to Apply Below
Location: Greater London

!!

IMMEDIATE JOINERS !! Can start from 7th Sept'26

Junior Data Engineer with PYTHON

** BACHELORS DEGREE MANDATORY**

What You’ll Do (Responsibilities)
  • Data Exploration: Clean, transform, and analyse large datasets to identify trends and patterns.
  • Model Building: Assist in developing and testing machine learning models (Regression, Classification, etc.) using Python
    .
  • Database Management: Write and optimize SQL queries to extract data from various relational databases.
  • Visualization: Create clear and compelling dashboards (Tableau, Power BI, or Matplotlib) to communicate findings to stakeholders.
  • Collaboration: Partner with engineering and product teams to understand data needs and ensure data integrity.
  • Continuous Learning: Stay up-to-date with the latest data science trends and participate in internal knowledge-sharing sessions.
Required Skills :
  • Strong programming skills in Python with knowledge in ML/Al libraries (Tensor Flow, PyTorch, scikit-learn, Keras).
  • Experience with SQL/No

    SQL
    databases and data pipelines.
  • Familiarity with big data technologies like Hadoop, Spark, or Kafka
Preferred Skill Sets:
  • Good to have large datasets and using tools such as Pandas, Num Py, and Matplotlib.
  • Good to have knowledge with containerization and orchestration (e.g., Docker, Kubernetes).
  • Contributions to open-source ML/Al projects.
  • Knowledge in Natural Language Processing (NLP), computer vision, or reinforcement learning.
  • Excellent problem-solving and critical thinking abilities.
  • Ability to work independently and collaboratively within a team.
  • Strong communication skills to explain technical details to non-technical stakeholders.
Education:

Master’s degree in data science, Statistics, Computer Science, Mathematics, or a related quantitative field (or equivalent bootcamp experience).

Strong mathematics and statistics background.

Ability to commute/relocate:

  • Greater London: reliably commute or plan to relocate before starting work (preferred
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