Analytics Engineer

- Design, develop, and maintain scalable data pipelines and architectures for data collection, integration, and transformation from multiple sources - Implement processes and systems to monitor data quality, ensuring consistency, completeness, and accuracy of data assets - Optimise and troubleshoot data systems for performance, reliability, and scalability - Collaborate with the wider group initiatives and key stakeholders to deliver data solutions that meet business requirements - Manage and administer relational and non-relational databases, data lakes, and cloud data storage solutions - Develop and maintain ETL (Extract, Transform, Load) workflows and ensure all processes adhere to data governance and security policies - Document database structures, data flows, and processes for internal use - Advise on development of key reports and dashboards - Support with development and maintenance of reports and dashboards - Automate repetitive data tasks and standardise practices to improve team productivity and data reliability - Support data migration, integration, and cleansing activities during system upgrades or transitions - Stay current with emerging data engineering trends, technologies, and best practices - Contribute to internal knowledge sharing and documentation practices - Participate in change management processes and ensure compliance with data protection regulations (e.g., GDPR) - Support priority innovation projects by advising on data handling and best practices - Involvement in strategic projects that directly influence business decisions - Work with cross-functional teams and departments across the organisation - Contribute to the evolution of data engineering practices within the organisation