Python Engineer

Key Responsibilities

• Design, build and optimise scalable ETL/ELT data pipelines.
• Develop and maintain solutions using Databricks, Python and SQL.
• Support migration of data assets from legacy platforms into modern cloud-based architectures.
• Integrate data from multiple enterprise systems, including Oracle databases.
• Develop reusable data engineering frameworks and best practices.
• Ensure data quality, integrity, security and performance standards are met.
• Troubleshoot production issues and implement sustainable fixes.
• Collaborate with architects, data analysts, business stakeholders and delivery teams to translate requirements into technical solutions.
• Produce clear technical documentation and support knowledge transfer activities.
• Contribute to continuous improvement of JRIE's enterprise data platform.

Essential Skills & Experience

• Strong commercial experience as a Data Engineer within large enterprise environments.
• Hands-on expertise with Databricks.
• Advanced SQL development skills.
• Strong Python development experience.
• Extensive experience working with Oracle databases.
• Proven experience building and supporting data pipelines and data integration solutions.
• Experience working within cloud-based data platforms.
• Strong understanding of data modelling, performance optimisation and data quality controls.
• Experience working across the full software development lifecycle.
• Ability to work independently with minimal supervision.
• Excellent problem-solving and stakeholder communication skills.