Contract Python Engineer

Bath
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Engineer

Lead Data Engineer (Contract)

Data Engineer (Contract)

Data Engineer

DSP Engineer

Senior GCP Data Engineer

Contract Python Engineer - Raster Data (Outside IR35)

Fully Remote | £450 - £475/day | 9 Months

Are you a Python Engineer with strong geospatial data skills looking for your next contract opportunity? We're working with a global analytics firm that provides critical insights on environmental, social, and governance (ESG) risks to major organisations worldwide. They're now looking for a seasoned Python Software Engineer with raster data experience to support the evolution of their geospatial data platform.

This is a great chance to join a collaborative, mission-driven team where your expertise will directly contribute to enhancing the quality and scalability of key data products.

Tech Stack:

Python - Core language for geospatial data processing

Rasterio / GDAL - For handling and processing raster datasets

xarray / NumPy / Pandas - For data manipulation and analysis

AWS - For cloud-based data storage and processing

PostGIS - For spatial data management (nice to have)

What you'll be doing:

Develop and optimise Python pipelines for ingesting and processing raster datasets

Collaborate with data scientists and GIS specialists to enhance product quality

Implement scalable solutions for working with large spatial datasets

Support the automation of data workflows across the analytics platform

Provide guidance on best practices for raster data handling and geospatial development

Requirements:

Strong commercial Python development experience

Proven track record working with raster data using Rasterio, GDAL, or similar

Solid understanding of geospatial data concepts and formats

Experience working in cloud-based environments (ideally AWS)

Comfortable working independently in a remote-first setup

Clear communicator with a collaborative mindset

Contract Details:

Location: Fully remote (UK-based candidates only)

Length: 9 months

Rate: £450 - £475 per day (Outside IR35)

Start: ASAP

If you're a Python Engineer with geospatial data skills and a passion for delivering impactful analytics, we'd love to hear from you. Please apply or reach out to Andy at Cathcart Technology

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Top 10 Best UK Universities for Data Science Degrees (2025 Guide)

Discover ten of the strongest UK universities for Data Science degrees in 2025. Compare entry requirements, course content, research strength and industry links to choose the right programme for you. Data is the currency of the modern economy, and professionals who can wrangle, model and interpret vast datasets are in demand across every sector—from biotechnology and finance to sport and public policy. UK universities have been at the forefront of statistics, artificial intelligence and large-scale computing for decades, making the country a prime destination for aspiring data scientists. Below, we profile ten institutions whose undergraduate or postgraduate pathways excel in data science. Although league tables vary each year, these universities have a proven record of excellence in teaching, research and industry collaboration.

Veterans in Data Science: A Military‑to‑Civilian Pathway into Analytical Careers

Introduction The UK Government’s National AI Strategy projects that data‑driven innovation could add £630 billion to the economy by 2035. Employers across healthcare, defence, and fintech are scrambling for professionals who can turn raw data into actionable insights. In 2024 alone, job‑tracker Adzuna recorded a 42 % year‑on‑year rise in data‑science vacancies, with average advertised salaries surpassing £65k. For veterans, that talent drought is a golden opportunity. Whether you plotted artillery trajectories, decrypted enemy comms, or managed aircraft engine logs, you have already practised the fundamentals of hypothesis‑driven analysis and statistical rigour. This guide explains how to translate your military experience into civilian data‑science language, leverage Ministry of Defence (MoD) transition programmes, and land a rewarding role building predictive models that solve real‑world problems. Quick Win: Take a peek at our live Junior Data Scientist roles to see who’s hiring this week.

Quantum-Enhanced AI in Data Science: Embracing the Next Frontier

Data science has undergone a staggering transformation in the past decade, evolving from a niche academic discipline into a linchpin of modern industry. Across every sector—finance, healthcare, retail, manufacturing—data scientists have become indispensable, leveraging statistical methods and machine learning to turn raw information into actionable insights. Yet as datasets grow ever larger and machine learning models become more computationally expensive, there are genuine questions about how far current methods can be pushed. Enter quantum computing, a nascent but promising technology grounded in the counterintuitive principles of quantum mechanics. Often dismissed just a few years ago as purely experimental, quantum computing is quickly gaining traction as prototypes evolve into cloud-accessible machines. When paired with artificial intelligence—particularly in the realm of data science—the results could be game-changing. From faster model training and complex optimisation to entirely new forms of data analysis, quantum-enhanced AI stands poised to disrupt established practices and create new opportunities. In this article, we will: Explore how data science has reached its current limits in certain areas, and why classical hardware might no longer suffice. Provide an accessible overview of quantum computing concepts and how they differ from classical systems. Examine the potential of quantum-enhanced AI to solve key data science challenges, from data wrangling to advanced machine learning. Highlight real-world applications, emerging job roles, and the skills you need to thrive in this new landscape. Offer actionable steps for data professionals eager to stay ahead of the curve in a rapidly evolving field. Whether you’re a practising data scientist, a student weighing up your future specialisations, or an executive curious about the next technological leap, read on. The quantum era may be closer than you think, and it promises to radically transform the very fabric of data science.