About the job

Experience: 5+ years in Data Engineering or a related field

Job Summary

We are looking for an experienced Data Engineer with strong expertise in building scalable ETL/ELT pipelines, data integration frameworks, and cloud-based data solutions. The candidate will be responsible for developing reliable data platforms to support enterprise analytics, AI, and reporting requirements.

Key Responsibilities

• Design, develop, and maintain scalable ETL/ELT data pipelines.
• Build data integration and transformation solutions using cloud technologies.
• Develop data models, data warehouses, and real-time data processing solutions.
• Implement data quality, validation, security, and performance optimisation practices.
• Support AI/ML and analytics workloads and collaborate with Data Scientists and business teams.
• Implement CI/CD and MLOps practices for automated and reliable data deployments.

Key Skills

• Databricks, Azure Data Factory, Azure Data Lake
• PySpark, Python, SQL, Delta Lake
• Kafka / Real-time data processing
• ETL/ELT, Data Modelling & Data Warehousing
• Data Quality & Performance Optimisation
• CI/CD, MLOps and Cloud Data Engineering
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• Education: Bachelor’s/Master’s degree in Computer Science, Engineering, Data Engineering, or a related field.