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
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