Data Systems Engineer

A regulated online Forex and CFD trading platform operating as a global fintech with 550+ team members across 11 locations.
$90,000 - $150,000
Data
Mid-Level Software Engineer
Hybrid
501 - 1,000 Employees
3+ years of experience
Finance

Description For Data Systems Engineer

Pepperstone, a dynamic global fintech established in 2010, is seeking a Data Systems Engineer to join their technology team of 550+ professionals across 11 locations. This role is crucial in building and maintaining scalable data infrastructure and pipelines that support the company's forex and CFD trading platform. The position offers a blend of technical challenges and innovative problem-solving, working with modern technologies like Python, Go, Kafka, and AWS services.

The ideal candidate will have 3-5 years of experience in data engineering, bringing expertise in both batch and real-time data processing. You'll be responsible for designing and implementing data pipelines, managing critical data systems, and ensuring seamless data flow across the organization. The role combines hands-on technical work with collaborative team engagement, requiring both strong engineering skills and excellent communication abilities.

Pepperstone offers an inclusive and collaborative culture that champions individual growth and professional development. The company provides a competitive compensation package, including a bonus scheme, flexible hybrid working arrangements, and comprehensive benefits. The modern office in Melbourne's Collins Square offers top-tier facilities and a vibrant work environment.

This opportunity is perfect for a data engineer who wants to make a significant impact in the fintech sector while working with cutting-edge technologies and a global team. The role offers clear career progression, continuous learning opportunities, and the chance to work on meaningful projects that directly affect the company's success in the global financial markets.

Last updated 4 days 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
Kafka
PostgreSQL
Redis
  • 3-5 years of experience in data engineering or related field
  • Proficiency in Python and/or Go
  • Experience with Kafka, Redshift, and related tools
  • 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
  • Strong problem-solving skills
  • Strong communication skills
  • Ability to work in a fast-paced environment

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

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