Data Engineer

Role Overview

• Design, build and optimise scalable data pipelines and ETL/ELT processes
• Monitor, troubleshoot and improve data quality, reliability and platform performance
• Support cloud data architecture, data modelling, automation, documentation and deployment standards
• Partner with data scientists, analysts, product owners and business stakeholders to deliver practical data solutions
• Keep up to date with emerging cloud and data engineering technologies

Requirements

• Degree in Computer Science, Engineering, Applied Mathematics or similar, or equivalent experience
• Strong experience with Oracle, SQL Server, SQL, data modelling, ETL tools and large datasets
• Good Python skills and basic understanding of data science and machine learning
• Familiarity with Spark, Jupyter Notebooks, Linux/Windows environments
• Experience with cloud platforms such as GCP, AWS, Azure and Databricks
• Knowledge of CI/CD, Docker and ingestion tools such as ADF
• Strong communication, analytical, organisational and stakeholder management skills

Tech Stack

• AWS
• Azure
• Cloud
• Docker
• ETL
• Google Cloud Platform
• Linux
• Oracle
• Python
• Spark
• SQL

Benefits

• competitive compensation
• paid time off
• employee assistance program
• parental leave
• paid volunteer hours
• amazing company discounts
• health care benefits starting on day 1
• 401(k)
• tuition reimbursement benefits