MANAGER

We are looking for a hands-on Data Engineering, Analytics and AI professional to design, develop and maintain scalable data platforms, analytical solutions and business applications.

Key responsibilities

• Develop complex SQL queries, stored procedures and reusable data transformations.
• Design, build and maintain reliable ETL/ELT data pipelines.
• Develop and optimise data models, warehouses and workloads in Snowflake.
• Use Python for data processing, automation, API integration and analytical solutions.
• Develop, evaluate and integrate machine-learning models into business workflows.
• Create interactive Tableau dashboards and translate business requirements into actionable insights.
• Monitor data quality, pipeline performance and system reliability.
• Troubleshoot performance issues and optimise SQL queries, stored procedures and data-processing workflows.
• Maintain technical documentation and follow coding, testing and version-control standards.
• Collaborate with business stakeholders, analysts, developers and other technology teams.

Required qualifications and experience

• Minimum two years of relevant experience in data engineering, analytics or application development.
• Strong hands-on knowledge of Advanced SQL, stored procedures, Snowflake and data pipelines.
• Proficiency in Python.
• Practical experience with machine learning and Tableau.
• Good understanding of data modelling, data validation and performance optimisation.
• Strong analytical, problem-solving and communication skills.