[Expression of Interest] Data Engineer

📋 Description

• Design, build, test, deploy and operate scalable batch and, where applicable, streaming data
• Develop high-quality Python, PySpark and SQL solutions to ingest, transform and process large-scale
• Design data models and reusable, trusted datasets/data products for analytics, data science and
• Engineer and optimise AWS-based data solutions using relevant services such as Amazon S3, AWS Glue
• Apply data lake and lakehouse engineering practices, including efficient storage formats
• Design robust ETL/ELT patterns, including incremental processing, dependency management

🎯 Requirements

• Must possess a Degree / Advanced Diploma in Computer Science, Data Engineering, Software
• At least 6 years of experience in data engineering or developing data-intensive systems, including
• Strong hands-on experience with Python and PySpark for large-scale and distributed data processing.
• Strong SQL skills, including complex transformations, joins, window functions, query optimisation
• Hands-on experience designing and operating scalable ETL/ELT data pipelines, including incremental
• Experience with data modelling for analytical use cases, including dimensional modelling

🎁 Benefits

• Hybrid work arrangement: home and office
• Inclusive paid leave
• People-first and inclusive workplace
• Paid Internship