Senior Python Data Engineer

Job Description

Role Overview

We are seeking a highly experienced Senior Python Data Engineer to join our team on a 12-month contract (minimum), working on advanced time-series data solutions and interactive dashboards. This hybrid role requires 3 days onsite at client offices (Leeds or Canary Wharf, UK) and 2 days remote.

You will play a key role in designing, developing, and optimizing data pipelines, dashboards, and analytical tools that support critical business operations.

Key Responsibilities

• Develop and maintain robust Python-based applications for time-series data processing.
• Build and optimize data pipelines using Pandas, NumPy (and optionally Polars) for large-scale data manipulation.
• Design and implement interactive dashboards using Plotly Dash, integrating advanced visualizations and REST APIs.
• Apply software engineering best practices: version control (Git), modular code design, unit testing (pytest), and documentation.
• Collaborate with cross-functional teams to translate business requirements into technical solutions.
• Ensure code quality through linters, formatters, and adherence to industry standards.

Required Skills & Experience

• 9+ years of professional experience in software engineering and data-focused roles.
• Strong proficiency in Python programming: functions, classes, OOP, list comprehensions, generators, error handling.
• Experience with virtual environments & package management (pip, venv).
• Advanced skills in data manipulation & analysis: cleaning, preprocessing, handling missing values, grouping, merging, pivoting, aggregations, and SQL integration.
• Proven track record of applying software engineering best practices (Git, modular code, testing, documentation).
• Strong communication skills (written & verbal) with ability to explain technical concepts clearly.