Data Engineer

Role Title: Data Engineer

Rate: £500/day

Work Mode: Hybrid (3 days onsite)

Location: London

Contract: 12 Months

Role Overview

We are looking for a practical, hands-on Data Engineer with strong experience in Python and solid understanding of data manipulation, analytics, and dashboard development. This is not a heavily complex or highly specialized role — it is for someone confident in Python, data handling, and building simple dashboards using Plotly Dash.

What You Will Do

• Build and enhance data processing scripts and pipelines using Python.
• Work on data cleaning, transformation, and analysis using Pandas and NumPy.
• Create user-friendly dashboards in Plotly Dash (with callbacks and simple UI components).
• Write clean, reusable, and well-documented code following basic software engineering practices.
• Use SQL to work with relational data when needed.
• Collaborate with internal teams to understand data requirements and support them with reliable datasets and dashboards.

Key Skills & Experience (Must-Have)

• Strong hands-on experience with Python programming (functions, classes, OOP, error handling).
• Practical experience with Pandas and NumPy for data processing.
• Good understanding of SQL and working with relational databases.
• Experience using Git for version control.
• Basic understanding of writing unit tests and maintaining code quality.

Good to Have (Not Mandatory)

• Experience working with REST APIs.
• Exposure to Polars, pytest, or similar tools.
• Familiarity with documentation practices (docstrings, comments).

Soft Skills

• Strong communication skills.
• Ability to learn quickly and solve problems independently.
• Detail-oriented and organised in day-to-day work.

This role is suitable for candidates who:

• Are confident with Python and data handling.
• Want a straightforward, hands-on engineering role.
• Prefer clarity over complexity.