Python Engineer - Reading, Berkshire/Hybrid Working

Python Engineer - Reading, Berkshire

£50,000 to £56,000 + excellent benefits and amazing unique employee experience/Hybrid working, office based near Reading, Berkshire with that WOW factor

Core notes:

Ideally looking for experience where someone has been providing solutions/designs to specific case studies around AI, ML, Webapps, Python - all which are important for the role.

A specialist automotive technology and research company seek a Python Engineer to:

• Design and implement solution architectures that support the value-driven delivery of quality data products.
• This role involves developing solution architectures for various technical capabilities leveraging the Azure platform, including BI, analytics, web applications, and APIs.
• You will work closely with colleagues in the Enterprise Data team to deliver high-quality data products.

As a Python Engineer, you will:

• Design and architect scalable Data, Analytics, and AI solutions on the Azure cloud platform.
• Collaborate on projects focusing on Large Language Models (LLMs), chatbot integration, and web application development using Python.
• Elicit business requirements from stakeholders and translate them into solution architecture and technical requirements.
• Drive automation and implement DevOps practices for smooth and efficient deployment, ensuring timely and budget-compliant delivery.
• Ensure data governance, security, and compliance standards are met in all solution designs.
• Stay updated with the latest advancements and trends in cloud technology and integrate relevant innovations into the organisation's cloud architecture.

Skills and experience we think you'll need to be successful in the Python Engineer position:

• Experience delivering robust and reliable cloud architecture functionality in line with industry standards.
• Experience with relational/non-relational stores (eg, NoSQL databases).
• Experience with Azure Cloud Services (eg, Azure Data Factory, Azure AI, Azure IoT, Synapse Analytics, Web Apps, Azure ML).
• Delivery of solutions within agreed timescales, communicating any delays or impacts on timelines promptly.
• Proficiency in DevOps tools and practices, including CI/CD pipelines, automation scripts, and containerization.
• Ability to translate business requirements into solution architecture with clear articulation of technical requirements.
• Experience optimizing data processes with a focus on data quality and accessibility.