Position: Big Data DevOps Engineer We are seeking a highly qualified and motivated Big Data DevOps Engineer to join our dynamic and growing team. The candidate will join a globally connected team that prizes diverse perspectives and operational excellence. Responsibilities Include: Design and maintain end-to-end data pipelines, ETL workflows, and analytical models. Ensure data quality, accuracy, and integrity through validation and governance frameworks. Document data architecture, lineage, and metadata management practices comprehensively. Apply predictive and prescriptive analytics to solve complex business challenges. Build interactive dashboards and reports that translate insights into business narratives. Identify trends, anomalies, and patterns to generate actionable business intelligence. Develop and validate machine learning models ensuring scalability and production readiness. Collaborate with data engineers and business teams to provide clean, reliable analytical data. Skills and Qualifications: Strong communication, presentation, and interpersonal skills across all organisational levels. Familiarity with regulatory, compliance, or quality frameworks applicable to the industry. Bachelor's or master's degree in a related discipline with strong academic and professional credentials. Willingness to travel, adapt, and take on additional responsibilities as the business demands. Hands-on experience with tools, software, and platforms standard to the profession. Demonstrated teamwork skills and the ability to build trust and rapport across functions. Strong command of Python, R, SQL, and data visualisation tools such as Tableau or Power BI. This position represents a unique platform for a high-calibre professional to make a lasting contribution.