Data Systems Engineer

A regulated online Forex and CFD trading platform operating as a global fintech company since 2010.
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Finance

Description For Data Systems Engineer

Pepperstone, a leading global fintech company established in 2010, is seeking a Data Systems Engineer to join their technology team of 550+ professionals across 11 locations. This role offers an exciting opportunity to work on building and maintaining data infrastructure and pipelines that are crucial to the company's forex and CFD trading platform. The position combines technical expertise in data engineering with a collaborative environment that values diverse perspectives and innovative thinking.

The ideal candidate will be responsible for developing both real-time and batch processing systems, ensuring data integrity across the organization. Key technical areas include working with Python, Go, Kafka, Redshift, and AWS services, while implementing automated workflows using Airflow and DBT. The role requires 3-5 years of experience and offers a balance of technical challenges and professional growth.

Pepperstone offers an attractive package including hybrid working arrangements, competitive salary with bonuses, and extensive benefits such as parental leave and professional development opportunities. The company culture emphasizes work-life harmony, continuous learning, and regular social events. The Melbourne office provides modern facilities and a collaborative workspace at Collins Square.

This position is perfect for a mid-level engineer who wants to impact the fintech industry while working with cutting-edge data technologies. The role combines technical expertise with business impact, offering opportunities to work on complex data challenges while contributing to a global financial technology platform.

Last updated 3 hours ago

Responsibilities For Data Systems Engineer

  • Maintain and enhance data infrastructure
  • Design and implement data pipelines for batch and real-time processing
  • Manage data systems including Kafka, Redshift, and Kubernetes
  • Collaborate with stakeholders for data integration
  • Develop automated workflows using Airflow and DBT
  • Build and maintain cloud-based data infrastructure on AWS
  • Implement monitoring solutions and troubleshoot issues
  • Document systems and processes
  • Improve software development practices
  • Participate in weekly support rotation

Requirements For Data Systems Engineer

Python
Go
Kubernetes
  • 3-5 years of experience in data engineering or related field
  • Proficiency in Python and/or Go
  • Experience with data streaming and batch processing technologies (Kafka, Redshift)
  • Experience with AWS services and infrastructure-as-code tools
  • Hands-on experience with Airflow, DBT
  • Knowledge of data formats and table formats
  • Understanding of DBMS concepts and SQL/NoSQL databases
  • Knowledge of data security best practices and GDPR compliance
  • Strong problem-solving skills
  • Excellent communication skills

Benefits For Data Systems Engineer

Parental Leave
  • Competitive salary with company bonus scheme
  • Flexible and hybrid working
  • Remote working option - work from anywhere for up to 6 weeks per year
  • Ongoing personal development & learning opportunities
  • 15 weeks paid primary carers parental leave
  • 4 weeks paid secondary carers leave
  • 3 paid volunteering days per year
  • Workplace Giving Program
  • Weekly social events
  • Modern office facilities
  • Fully stocked kitchen

Interested in this job?

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