• Design, develop, and maintain data pipelines and ETL processes using AWS services (Glue, Athena, S3, RDS)

• Work with data virtualisation tools like Denodo and develop VQL queries

• Ingest and process data from various internal and external data sources

• Perform data extraction, cleaning, transformation, and loading operations

• Implement automated data collection processes including API integrations when necessary

• Design and implement data models (conceptual, logical, and physical) using tools like ER Studio

• Develop and maintain data warehouses, data lakes, and operational data stores

• Develop and maintain data blueprints

• Create data marts and analytical views to support business intelligence needs using Denodo, RDS

• Implement master data management practices and data governance standards

• At least 3 years of experience in data engineering or similar role

• Strong proficiency in Python, VQL, SQL

• Experience with AWS services (Glue, Athena, S3, RDS, Sagemaker)

• Knowledge of data virtualisation concepts and tools (preferably Denodo)

• Experience with BI tools (preferably Tableau, Power BI)

• Understanding of data modelling and database design principles

• Familiarity with data governance and master data management concepts

• Experience with version control systems (Gitlab) and CI/CD pipelines

• Experience working in Agile environments with iterative development practices

• Strong problem-solving skills and attention to detail

• Excellent communication skills and ability to work in a team environment

• Knowledge of AI technologies (AWS Bedrock, Azure AI, LLMs) would be advantageous