Data Engineer

Information Tech Consultants; Greater London; On-site; GBP 38,000 - 52,000; Full time

Job summary

Information Tech Consultants in London is seeking a Junior Data Engineer with Python to join our analytics team and help turn raw data into actionable insights.

You will work on data exploration, model building, and building data pipelines, as well as creating dashboards with Tableau, Power BI, or Matplotlib, collaborating with engineering and product teams to ensure data integrity. A strong math background and hands-on Python experience are essential.

Qualifications

• Bachelor's degree mandatory.
• Strong mathematics and statistics background.
• Hands-on Python experience with ML libraries.
• Experience with SQL/NoSQL databases and data pipelines.

Responsibilities

• Data Exploration: Clean, transform, and analyse large datasets to identify trends and patterns.
• Model Building: Develop and test machine learning models (Regression, Classification) using Python libraries.
• Database Management: Write and optimize SQL queries to extract data from relational databases.
• Visualization: Create dashboards in Tableau/Power BI/Matplotlib to communicate findings to stakeholders.
• Collaboration: Work with engineering and product teams to understand data needs and ensure data integrity.
• Continuous Learning: Stay up-to-date with data science trends and contribute to internal knowledge sharing.

Skills

Python

ML libraries

SQL

NoSQL

Big data

Education

Bachelor's degree

Master's degree in data science or related field

Tools

Tableau

Power BI

Matplotlib

Pandas

NumPy

Docker

Kubernetes

Job description

!!IMMEDIATE JOINERS !! Can start from 25th Aug'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