Product and team context
This role sits on the Pepperstone Trading App engineering thread within Trading Experience (TREX). Related capabilities in the wider group include Mobile Platform, integrations (connectors), and the trading platform (Centrum). Department shape includes Mobile Platform plus Trading Experience teams (e.g. TREX-EVO, TREX-NOVA); exact team assignment and names are confirmed with your manager.
The Trading App is a proprietary iOS and Android client for CFD trading and portfolio monitoring—charts, watchlists, execution, margin and P&L, funding, and multi-account types (e.g. Razor / Standard). It complements MetaTrader and cTrader; it does not replace them. The app connects to Centrum and other back-office systems via connectors, and integrates services such as SCA, Auth0, Segment, notifications, and others as the stack evolves.
Delivery runs in two-week Scrum increments. A typical squad includes a tech lead or release captain, on the order of four developers and two manual QA engineers, with test automation as a parallel track. Engineering outcomes should reflect CFD realities: margin and leverage, contract-based P&L and financing, broker as counterparty, and region-specific regulation (e.g. FCA, ASIC, CySEC) affecting flows and copy.
The Role
The Senior Data Platform Engineer is a technical leader who empowers data, analytics and product teams across Pepperstone by building and operating the Enterprise Data Platform, ensuring it meets the demanding requirements of high-frequency trading environments and regulatory compliance in financial markets.
This role is hands-on across our modern AWS-native stack: real-time change data capture with Debezium, event streaming on Kafka (MSK), stream processing with Apache Flink, cloud data warehousing on Snowflake, integration to Alation , all delivered through Terraform, GitHub and GitHub Actions using infrastructure-as-code and CI/CD best practice.
Engaging with the wider Enterprise Data team and business stakeholders, the Senior Data Platforms Engineer gathers requirements and delivers tailored, scalable solutions. They act as a technical advisor in data platform engineering and drive the adoption of best practice across the business. They proactively collaborate with other members of the Data Platform team and directly contribute to optimising operational efficiency, balancing cost and performance, and delivering resilient, secure platform services. The role includes periodic out-of-hours support for internal stakeholders.
Key Responsibilities
Work with the Data Platform team to design, implement and maintain scalable, secure and resilient services across the Pepperstone Enterprise Data Platform.
Own and operate core streaming infrastructure — Debezium (CDC), Kafka (MSK), and Apache Flink — ensuring reliability, performance, and availability for consuming teams.
Optimise critical Data platform services including data lakes, data warehouses, stream processing (Kafka, Flink), and real-time analytics platforms on AWS.
Design, provision, and manage cloud infrastructure using Terraform — including Snowflake environments, AWS data services, networking, IAM, and supporting services, with a self-service platform provisioning mindset.
Implement and enforce AWS resource tagging strategies, cost allocation policies, and FinOps practices to drive cloud cost transparency and optimisation across the EDP.
Drive technical initiatives from conception to delivery, managing stakeholder expectations and coordinating cross-functional efforts with both technical and business teams.
Design and implement sophisticated monitoring, alerting, and observability solutions for data platform services, leading incident response and post-mortem analysis.
Collaborate closely with the data governance team to design and implement robust governance frameworks, including Snowflake data sharing, masking policies, and row-level security.
Integrate AI-assisted tooling and Model Context Protocol (MCP) capabilities into data platform workflows to enhance developer productivity and data discoverability.
Assist the Data Platform Lead in evaluating and integrating third-party vendors and technologies, conducting proof-of-concepts and making build-vs-buy recommendations based on technical and business criteria.
Stay at the forefront of industry trends, emerging technologies, and market changes in data platforms, cloud services, and the broader fintech landscape.
This role reports to the Data Platform Lead in Melbourne. We support flexible working. This position can be performed from both a mix of at our office and from home. Your manager will share details and expectations of your team’s regular cadence of working locations.
About you
Bachelor's degree in computer science, engineering, or equivalent extensive professional experience in data platform engineering
Minimum 5 years’ experience in a data platform, data engineering, cloud or DevOps role, with at least 3 years building production workloads on AWS.
Strong hands-on experience with infrastructure-as-code tooling for managing cloud and data infrastructure, including module design, state management, and multi-environment promotion.
Proficient with source control and CI/CD practices; comfortable designing reusable pipelines and enforcing quality gates.
Production experience with event streaming and stream processing platforms, including operational tuning and resilience patterns.
Hands-on experience with cloud data warehousing platforms, including architecture, performance optimisation, and governance features.
Solid understanding of core cloud services relevant to data platforms: compute, storage, networking, IAM, managed databases, secrets management, and observability.
Ability to design cost-aware architectures and clearly communicate cost trade-offs to engineering and business stakeholders.
Proficiency in at least one programming language used in data platform work (Python, Java or Scala); SQL fluency is essential.
Experience operating production data services — observability, alerting, incident response and post-incident review.
Excellent written and verbal communication and the ability to present to both technical and nontechnical stakeholders.
Able to work independently, self-organise, scope work and adapt to changing requirements in a fast-paced environment.
Desirable
Hands-on experience with AWS and its data-adjacent services (e.g. MSK, EKS, RDS, S3, DMS, KMS, CloudWatch, Secrets Manager).
Production experience with Apache Kafka and Apache Flink, including stateful processing, exactly once patterns, and schema design.
Experience implementing change data capture against relational sources and integrating with streaming platforms.
Deep expertise in Snowflake, including Snowpark, data sharing, virtual warehouse sizing, and governance features (masking policies, row-level security, object tagging).
Familiarity with AWS resource tagging strategies, cost allocation tags, and FinOps tooling.
Understanding of Model Context Protocol (MCP) and how it enables AI agents to interact with data platform services to automate workflows and accelerate platform operations.
Experience with data catalogue or metadata management tooling (e.g. Alation or equivalent).
Why you will enjoy working with us
Competitive salary structure including company bonus scheme
Flexible and hybrid working
Remote working option - work from anywhere for up to 4 weeks per year
10 days of Company paid sick leave annually
21 days of paid vacation within the first year of employment, increasing to 25 days after one year
3 paid volunteering days per year & Workplace Giving Program
Comprehensive medical insurance with coverage for your healthcare needs
Pension fund
Employee referral bonuses for referring top talent to the company
Ongoing personal development & learning opportunities
Periodic recognition and reward programs for outstanding performance and achievements
Frequent events and celebrations
Genuinely collaborative and friendly culture
Employee Assistance Program & Wellbeing Initiatives
Convenient and cozy office located near the Limassol Municipal Garden
Published on: 6/16/2026
Pepperstone
Pepperstone was founded in 2010 in Melbourne, Australia by a team of experienced traders with a shared commitment to improve the world of online trading.
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