Pepperstone is hiring a Senior Data Platform Engineer

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.

Requirements

• 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.

Nice to Have

• 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).

Benefits

• 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

Work Arrangement

Hybrid — Melbourne

Team

Team size: 700. Structure: 700+ team across 12 regions and 9 time zones. Department shape includes Mobile Platform plus Trading Experience teams (e.g. TREX-EVO, TREX-NOVA). The role sits on the Trading App engineering thread within Trading Experience (TREX). 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.

Additional Information

• The role includes periodic out-of-hours support for internal stakeholders.
• Delivery runs in two-week Scrum increments.
• The 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.