Data Systems Engineer - Remote

Overview

The Data Systems Engineer will play a crucial role in building and maintaining data infrastructure and pipelines that are reliable, scalable, and aligned with business needs. This position focuses on both real-time and batch processing systems, ensuring data integrity and availability across the organization.

In Short

• Maintain and enhance data infrastructure for optimal performance.
• Develop data pipelines for batch and real-time processing using Python and Go.
• Manage and monitor data systems including Kafka and Redshift.
• Collaborate with stakeholders to integrate new data sources.
• Automate workflows using Airflow and DBT.
• Build and maintain cloud-based data infrastructure using AWS.
• Implement monitoring solutions and troubleshoot data system issues.
• Document systems and best practices for knowledge sharing.
• Participate in weekly support rotation for data engineering incidents.
• Engage in ongoing personal development and collaborative culture.

Requirements

• 3-5 years of experience in data engineering or related field.
• Proficiency in Python and/or Go.
• Experience with data streaming technologies (Kafka, Redshift).
• Solid experience with AWS services and infrastructure-as-code tools.
• Hands-on experience with Airflow, DBT, or similar tools.
• Knowledge of various data formats and DBMS concepts.
• Strong problem-solving skills and attention to detail.
• Excellent communication skills and ability to collaborate effectively.
• Commitment to ongoing learning and development.

Benefits

• Competitive salary structure including company bonus scheme.
• Genuinely collaborative and friendly culture.
• Flexible and hybrid working options.
• Remote working option for up to 6 weeks per year.
• 15 weeks paid primary carers parental leave.
• 3 paid volunteering days per year.
• Frequent events and celebrations.
• Beautifully renovated office in Melbourne.
• Best in class end of trip facilities.
• Fully stocked kitchen with locally sourced coffee and specialty teas.