Senior Data Engineer

About the role

We are looking for a skilled and detail‑oriented Data Engineer to design, build, and maintain scalable data pipelines and architectures, supporting data‑driven initiatives across the organization.

Key responsibilities

• Design, develop, and maintain ETL/ELT data pipelines.
• Build and optimise data architectures and models for analytics and reporting.
• Collect, process, and transform large datasets from multiple sources.
• Ensure data quality, integrity, and governance standards.
• Collaborate with data scientists, analysts, and business teams to deliver actionable insights.
• Monitor and improve pipeline performance and troubleshoot data issues.
• Implement and manage data storage solutions such as data lakes and data warehouses.
• Work with cloud platforms (Azure, AWS, or GCP) for data engineering solutions.

Required profile

• Strong proficiency in SQL and Python.
• Experience with ETL tools and data pipeline frameworks.
• Knowledge of big‑data technologies (e.g., Spark, Hadoop, Kafka).
• Experience with cloud data platforms (Azure Data Factory, AWS, GCP, etc.).
• Understanding of data modelling, warehousing, and database design.
• Familiarity with APIs and data integration techniques.

Required skills

• SQL
• Python
• ETL tools
• Apache Spark
• Hadoop
• Kafka
• Azure Data Factory
• AWS
• Google Cloud Platform
• Data modelling
• APIs