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.
