Position: Senior Data Engineer An exciting career opportunity exists for a motivated Senior Data Engineer to advance their professional journey. This position is embedded within a high-functioning team that prizes collaboration, innovation, and quality. Role Responsibilities: Build self-service analytics capabilities that empower business teams to explore data. Develop NLP, computer vision, and deep learning solutions for complex AI use cases. Collaborate with engineering teams to embed analytics and AI into core product workflows. Design data models and schemas optimised for analytical and high-performance workloads. Develop scalable data engineering pipelines to ingest, transform, and serve data. Implement data quality monitoring and automated alerting frameworks for pipelines. Ensure compliance with data governance, privacy regulations, and security standards. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Education and Experience Requirements: Demonstrated proficiency with industry-standard tools, platforms, and methodologies. High degree of professionalism, integrity, and alignment with organisational values. Experience collaborating within cross-functional teams and matrix organisational structures. Excellent verbal and written communication skills; fluency in English is essential. Proven ability to manage competing priorities in a deadline-driven, dynamic environment. Strong analytical and problem-solving skills with the ability to navigate complex challenges. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. Applications are reviewed on a rolling basis; suitably qualified individuals are encouraged to apply promptly.