Position: Data Engineering Manager Our organisation is looking for an ambitious Data Engineering Manager committed to quality outcomes and sustained growth. This is an excellent opportunity for professionals who value structured career advancement and meaningful impact. Main Accountabilities: Build self-service analytics capabilities that empower business teams to explore data. Implement data quality monitoring and automated alerting frameworks for pipelines. Publish insights, model performance reports, and data science findings to leadership. Collaborate with engineering teams to embed analytics and AI into core product workflows. Develop scalable data engineering pipelines to ingest, transform, and serve data. Ensure compliance with data governance, privacy regulations, and security standards. Manage cloud data platforms such as BigQuery, Redshift, Snowflake, or Azure Synapse. Design data models and schemas optimised for analytical and high-performance workloads. Essential Skills and Experience: Relevant undergraduate or postgraduate degree aligned with the role's core responsibilities. Collaborative, proactive, and able to operate effectively with minimal supervision. 4+ years of experience with a demonstrated track record of growth and professional impact. Superior writing and communication skills with experience preparing executive-level documents. Knowledge of applicable regulatory frameworks, industry standards, and compliance requirements. Strong project management capabilities with experience in agile or structured methodologies. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. We look forward to welcoming a driven professional who shares our commitment to excellence and sustained impact.