Data Engineer

Information Tech Consultants

Greater London

On-site

GBP 28,000 - 36,000

Full time

9 days ago
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Job summary

Information Tech Consultants in Greater London is seeking a Junior Data Engineer with Python expertise to explore data, build models, and deliver insights. This role requires a Bachelor's degree and offers hands-on experience with SQL/NoSQL databases, big data tools, and data visualization platforms.

You will collaborate with engineering and product teams, improve data pipelines, and contribute to data-driven decision making in a dynamic environment.

Qualifications

  • Bachelor's degree required in a quantitative field.
  • Strong Python and ML libraries.
  • Experience with SQL/NoSQL and data pipelines.
  • Familiarity with Hadoop, Spark or Kafka.
  • Excellent problem-solving and communication skills.

Responsibilities

  • Data Exploration: Clean, transform, and analyse large datasets to identify trends and patterns.
  • Model Building: Assist in developing and testing machine learning models using Python.
  • Database Management: Write and optimize SQL queries to extract data.
  • Visualization: Create dashboards in Tableau, Power BI, or Matplotlib to communicate findings.
  • Collaboration: Work with engineering and product teams to understand data needs and ensure data integrity.
  • Continuous Learning: Stay updated with trends and share knowledge within the team.

Skills

Python
SQL
NoSQL
Big Data

Education

Bachelor's degree
Master's degree in Data Science

Tools

Docker
Kubernetes
Tableau
Power BI

Job description

!!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 (TensorFlow, PyTorch, scikit-learn, Keras).
  • Experience with SQL/NoSQL 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, NumPy, 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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