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Data Systems Engineer

The Pepperstone story started in 2010. We know what it’s like to trade the world’s markets. Our team describes us as a place for the curious and the driven, and we like to do things a little differently; as a transformative global fintech we’re digital, nimble, connected, and united in our vision to create a better way to trade. 

We thrive on progress – for our clients and for ourselves. Our organisational culture is ever-evolving, vibrant, diverse, global and results focused. You’ll find our 550+ team currently across 11 locations and 9 time zones. 

The Role 
Our technology team thrives on inclusivity and collaboration, believing that diverse perspectives lead to great solutions. We foster a culture that champions individual growth, professional development, and work-life harmony. We're invested in your success and dedicated to supporting you every step of the way. We encourage our team to bring challenge thinking and fresh ideas to the table and our Agile approach empowers us to focus on outcomes. When we hire someone it's because they bring the skills, attitude and experience we're looking for....so we let you do what you're best at! Join us and be part of a community that's passionate about harnessing technology's potential to drive market leading solutions for our clients. Elevate your career in an environment where your ideas matter, your growth is nurtured, and your potential is limitless.

As a Data Systems Engineer, you will play a crucial role in building and maintaining data infrastructure and pipelines that are reliable, scalable, and aligned with business needs. You will work on both real-time and batch processing systems, ensuring data integrity and availability across the organisation. This role requires collaboration with cross-functional teams to implement innovative solutions that address the demands of our rapidly evolving technology landscape.

You will work closely with Pepperstone’s Data Platform and Data System Engineering teams, which are responsible for the collection, transfer, transformation, and storage of customer and trading data to support a variety of internal and external purposes.

As our Data Systems Engineer, your key responsibilities include, but may not be limited to:

  • Maintain and Enhance Data Infrastructure: Continuously improve and maintain data infrastructure, ensuring optimal performance and reliability.
  • Develop Data Pipelines: Design, implement, and optimise data pipelines for batch and real-time data processing using Python, Go, and other relevant tools.
  • Data Systems Management: Manage and monitor data systems including Kafka, Redshift, and Kubernetes, ensuring they meet performance and reliability standards.
  • Collaboration & Integration: Work closely with stakeholders and team members to integrate new data sources and support existing ones, ensuring seamless data flow across systems.
  • Workflow Automation: Develop and manage automated workflows using Airflow and DBT to support data processing and transformation tasks.
  • Cloud Infrastructure: Leverage AWS services to build and maintain cloud-based data infrastructure, ensuring scalability and security.
  • Monitoring & Troubleshooting: Implement monitoring solutions and troubleshoot issues to maintain high availability and performance of data systems.
  • Documentation & Best Practices: Document systems, processes, and best practices, ensuring that knowledge is shared, and systems are well-maintained.
  • Collaboration on Development Practices: Work with the team to improve software development practices, including coding standards, test-driven development, and CI/CD processes.
  • Weekly Support Rotation: Participate in the weekly support rotation, providing first-level support for any incidents impacting the data engineering space.

 

About You

  • 3-5 years of experience in data engineering or a related field, with a strong understanding of data processing and distributed systems.
  • Proficiency in Python and/or Go, with experience in building data-intensive applications
  • Experience with data streaming and batch processing technologies, particularly Kafka, Redshift, and related tools.
  • Solid experience with AWS services (e.g. S3, Redshift, RDS) and infrastructure-as-code tools (e.g. Terraform)
  • Hands-on experience with Airflow, DBT, or other workflow automation tools
  • Knowledge of various data formats (e.g. Parque, Avro) and table formats (e.g. Iceberg, Hudi)
  • Understanding of DBMS concepts and experience with both SQL and NoSQL databases
  • Awareness of data security best practices and compliance requirements such as GDPR
  • Strong problem-solving skills, with the ability to troubleshoot complex data issues and propose innovative solutions.
  • Adaptability to work in a fast-paced, evolving environment with shifting priorities.
  • A proactive approach to identifying improvements and addressing challenges.
  • Strong attention to detail to ensure data systems are accurate and reliable.
  • Excellent communication skills, both verbal and written, and the ability to collaborate effectively in a team-oriented environment.
  • Ability to live the Pepperstone values 
  • Committed to ongoing learning and development

Why you will enjoy working with us

  • Competitive salary structure including company bonus scheme
  • Genuinely collaborative and friendly culture
  • Flexible and hybrid working
  • Remote working option - work from anywhere for up to 6 weeks per year, in addition to hybrid working as standard
  • 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
  • Frequent events and celebrations including a standard weekly social
  • Beautifully renovated large office at Collins Square - 727 Collins Street, Melbourne
  • Best in class end of trip facilities including bicycle parking, change rooms & showers
  • A full stocked kitchen, onsite coffee machines with locally sourced coffee beans (this is Melbourne after all) and curated specialty teas

About Pepperstone 

We’re a regulated online Forex and CFD trading platform. With the scale of a global fintech and the agility of a start-up, we arm our clients with everything they need to take on the global markets with confidence. You will be part of a wider passionate and friendly team, and whilst things may not always go to plan, we learn quickly and move forward with impact. To learn even more visit Pepperstonecareers and www.linkedin.com/company/pepperstone/

We understand it’s important to do due diligence on a prospective employer, see what our team are saying on Glassdoor. We respect our team members’ experiences and will never pay to remove a negative review.

Pepperstone is an equal opportunity employer. We are passionate about building a diverse workplace and strongly encourage applications from any background.

“We are a 2025 Circle Back Initiative Employer – we respond to every applicant”.

We will be reviewing applications as they come through, so if this is an opportunity that excites you, don't wait. Express your interest by clicking the apply button below as soon as possible.

Note to external agencies: While we appreciate the efforts of external recruitment agencies, we prefer to engage directly with applicants for this opportunity.

#Li-Hybrid

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What You Should Know About Data Systems Engineer, Pepperstone

At Pepperstone, we're excited to announce an opening for a Data Systems Engineer! Since 2010, we’ve been on a mission to revolutionize trading with our innovative fintech solutions. We believe that a diverse team leads to exceptional results, and that’s at the heart of our vibrant culture. As a Data Systems Engineer, you will play an essential role in constructing and improving our data infrastructure—crucial for our continued success. You’ll design and develop scalable data pipelines using technologies like Python and Go, ensuring reliable data processing in both real-time and batch formats. Your collaboration with a cross-functional team will allow you to implement innovative solutions tailored to our unique business needs. You’ll manage data systems, automate workflows with tools like Airflow and DBT, and leverage AWS services to build secure cloud infrastructure. If you have a knack for problem-solving and thrive in a dynamic environment, this is an ideal opportunity for you. At Pepperstone, your potential is limitless, and your input truly matters as we drive market-leading solutions for clients across the globe. Join our passionate team and help shape the future of trading!

Frequently Asked Questions (FAQs) for Data Systems Engineer Role at Pepperstone
What are the responsibilities of a Data Systems Engineer at Pepperstone?

As a Data Systems Engineer at Pepperstone, your responsibilities encompass maintaining and enhancing our data infrastructure, developing efficient data pipelines for both batch and real-time processing, and managing various data systems like Kafka and Redshift. You will work closely with stakeholders to integrate new data sources and develop automated workflows using tools like Airflow. Your role also involves building and maintaining cloud-based data infrastructure leveraging AWS services, ensuring optimal performance and reliability across all data systems.

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What qualifications does Pepperstone require for their Data Systems Engineer roles?

To be considered for the Data Systems Engineer position at Pepperstone, candidates should have 3-5 years of experience in data engineering or a related field, with a strong understanding of data processing and distributed systems. Proficiency in Python and/or Go is essential, along with experience in AWS services and data technologies, including Kafka and Redshift. Successful applicants should also have hands-on experience with workflow automation tools like Airflow and DBT, and possess a solid grasp of DBMS concepts, SQL/NoSQL databases, and data security best practices.

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How can a Data Systems Engineer contribute to the culture at Pepperstone?

A Data Systems Engineer can significantly enhance the culture at Pepperstone by collaborating with diverse teams and sharing innovative ideas that drive positive changes. Our organization thrives on inclusivity, and your proactive approach to problem-solving and identifying improvements will foster a culture of continuous growth. Moreover, your commitment to ongoing learning and developing best practices will play a vital role in our mission to revolutionize trading and deliver exceptional solutions to our clients.

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What technologies will a Data Systems Engineer work with at Pepperstone?

At Pepperstone, a Data Systems Engineer will work with a variety of cutting-edge technologies. Key tools and platforms you will encounter include Python and Go for data pipeline development, Kafka for data streaming, Redshift for data warehousing, and AWS services for cloud infrastructure. You will also utilize Airflow and DBT for workflow automation, as well as various data formats to ensure smooth data processing and optimum system performance.

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What is the work environment and culture like for a Data Systems Engineer at Pepperstone?

The work environment for a Data Systems Engineer at Pepperstone is collaborative, flexible, and focused on individual growth. We prioritize work-life harmony and encourage a culture that values fresh ideas and innovative thinking. With remote work options and a friendly atmosphere, you’ll be part of a passionate team committed to using technology to deliver market-leading solutions. Our commitment to personal development and diversity ensures that you will find a supportive community that celebrates success together.

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Common Interview Questions for Data Systems Engineer
Can you explain your experience with data pipeline development?

When answering this question, discuss specific data pipelines you’ve developed, the technologies you used—like Python or Go—and the goals behind those projects. Highlight your problem-solving strategies and the impact your work had on data flow and accessibility within your organization.

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What approaches do you use to ensure data integrity?

To effectively answer this question, share your strategies for validating data accuracy, such as implementing data validation rules, conducting regular audits, and utilizing monitoring tools. Mention any experiences you've had where maintaining data integrity was critical to a project’s success.

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How have you collaborated with cross-functional teams in your previous roles?

When responding to this question, provide examples of projects where you worked with diverse teams. Discuss how you facilitated communication between stakeholders and technical teams, and describe your role in ensuring everyone was aligned on project goals and delivered timely solutions.

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What workflow automation tools have you used and how did they improve efficiency?

In your answer, name specific tools such as Airflow or DBT you've used and outline the problems they helped solve within your projects. Discuss how these tools streamlined processes and increased the efficiency of data handling and reporting.

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Can you describe a challenging data issue you resolved? How did you approach it?

This is an opportunity to showcase your problem-solving skills. Provide a detailed account of a specific data issue you faced, the steps you took to investigate and resolve it, and the successful outcomes that resulted from your efforts.

Join Rise to see the full answer
What is your experience with AWS services in relation to data architecture?

Discuss your hands-on experience with services like S3, Redshift, and RDS. Talk about how you’ve deployed cloud-based solutions using these tools, and connect it to specific outcomes you've achieved using AWS in your data architecture projects.

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How do you ensure compliance with data security and regulations?

Addressing this question effectively involves discussing the data security protocols you’ve implemented, such as encryption, access controls, and any experience with compliance standards like GDPR. Share examples that demonstrate your proactive approach to protecting sensitive data.

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How do you stay updated with the latest developments in data engineering?

In answering this question, highlight your strategies for continuous learning, such as attending workshops, participating in online courses, following industry experts on social media, or engaging with professional communities and forums to stay informed on emerging trends and technologies in data engineering.

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What practices do you believe are important for maintaining data systems?

Discuss foundational practices such as documentation, monitoring, and regular system maintenance. Explain how these practices contribute to system reliability and performance, and provide examples of how you’ve implemented these best practices in your previous roles.

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Describe your approach to troubleshooting complex data issues.

Emphasize a methodical approach to troubleshooting, including gathering relevant metrics, isolating variables, and testing potential solutions. Share a specific instance where you successfully troubleshot a particularly complex data problem.

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Established in 2010, Pepperstone has grown to become an award-winning online global forex and CFD broker known for delivering exceptional client service and award-winning funding and withdrawals to tens of thousands of clients around the world. Pe...

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