Data Engineer

About the Role

We are seeking a talented and driven Data Engineer to join a forward-thinking organisation where data sits at the heart of decision-making. You will design and build scalable, high-performance data pipelines that power analytics and business insights across the company.

This is an exciting opportunity to work with modern cloud technologies, contribute to mission-critical systems, and make a real impact in a fast-paced, collaborative environment.

What You’ll Be Doing

• Designing and implementing robust ETL pipelines to move and transform data at scale
• Building cloud-native solutions on AWS to ensure reliability and performance
• Working with PySpark, Python, and SQL to process large datasets efficiently
• Orchestrating workflows using Apache Airflow
• Leveraging AWS services such as S3, RDS, Redshift, and Lambda
• Deploying infrastructure using Terraform and Infrastructure-as-Code best practices
• Automating releases through CI/CD pipelines with GitHub Actions
• Collaborating closely with engineering and analytics teams to deliver high-quality solutions

Required Skills

• Strong experience with PySpark and AWS
• Proven background building and maintaining ETL pipelines
• Solid programming ability in Python, SQL, and Spark
• Hands-on experience with Apache Airflow
• Deep understanding of AWS data services
• Terraform for cloud deployments
• CI/CD workflow experience using GitHub Actions

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