[{"data":1,"prerenderedAt":-1},["ShallowReactive",2],{"job-senior-data-platform-engineer-pepperstone-en-cy":3},{"id":4,"slug":5,"title":6,"description":7,"company":8,"is_featured":11,"featured_until":7,"is_active":12,"deactivated_at":7,"is_enriched":12,"processed_job_posting_json":13,"processed_latitude":63,"processed_longitude":65,"processed_employment_types":67,"processed_working_hours":68,"processed_working_hours_labels":70,"processed_home_office":71,"processed_salary_min":60,"processed_salary_max":61,"processed_salary_currency":57,"processed_salary_source":72,"processed_benefits":73,"processed_benefits_labels":89,"processed_industry":90,"processed_skills":7,"processed_job_location":91,"processed_full_address_gmaps":93,"processed_street_gmaps":95,"processed_city_gmaps":97,"processed_postal_code_gmaps":99,"processed_country_gmaps":101,"processed_country_iso_code_gmaps":103,"full_description":16,"formatted_description":105,"processed_employment_types_labels":22,"processed_home_office_labels":20,"processed_industry_labels":24,"processed_it_skills":106,"processed_it_skills_labels":109,"processed_soft_skills":110,"processed_soft_skills_labels":111,"processed_job_expertise_skills":112,"processed_job_expertise_skills_labels":114,"processed_language_requirements":115,"processed_total_experience_years":122,"processed_professional_field":123,"processed_professional_field_labels":126,"processed_leadership_role":11,"processed_date_posted":19,"raw_job_url":127,"apply_url":7,"raw_hiringOrganization_logo_url":128,"translations":7,"canonical_industry_key":129,"canonical_industry_label":130,"max_cpc":131,"actual_cpc":7},41017,"senior-data-platform-engineer-pepperstone","Senior Data Platform Engineer",null,{"name":9,"slug":10,"logo_url":7},"Pepperstone","pepperstone",false,true,{"@context":14,"@type":15,"title":6,"description":16,"hiringOrganization":17,"datePosted":19,"jobLocationType":20,"employmentType":21,"industry":23,"skills":25,"baseSalary":55},"https:\u002F\u002Fschema.org\u002F","JobPosting","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.\nWe 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 \n700+ \nteam across \n12\n regions and \n9\n time zones.\nProduct and team context\nThis role sits on the \nPepperstone Trading App\n engineering thread within \nTrading Experience (TREX)\n. 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.\nThe Trading App is a proprietary \niOS and Android\n client for \nCFD\n trading and portfolio monitoring—charts, watchlists, execution, margin and P&L, funding, and multi-account types (e.g. Razor \u002F Standard). It \ncomplements\n 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.\nDelivery runs in \ntwo-week Scrum\n 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 \nCFD\n 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.\nThe Role\nThe 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.\nThis 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\u002FCD best practice.\nEngaging 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.\nKey Responsibilities\nWork with the Data Platform team to design, implement and maintain scalable, secure and resilient services across the Pepperstone Enterprise Data Platform.\nOwn and operate core streaming infrastructure — Debezium (CDC), Kafka (MSK), and Apache Flink — ensuring reliability, performance, and availability for consuming teams.\nOptimise critical Data platform services including data lakes, data warehouses, stream processing (Kafka, Flink), and real-time analytics platforms on AWS.\nDesign, 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.\nImplement and enforce AWS resource tagging strategies, cost allocation policies, and FinOps practices to drive cloud cost transparency and optimisation across the EDP.\nDrive technical initiatives from conception to delivery, managing stakeholder expectations and coordinating cross-functional efforts with both technical and business teams.\nDesign and implement sophisticated monitoring, alerting, and observability solutions for data platform services, leading incident response and post-mortem analysis.\nCollaborate closely with the data governance team to design and implement robust governance frameworks, including Snowflake data sharing, masking policies, and row-level security.\nIntegrate AI-assisted tooling and Model Context Protocol (MCP) capabilities into data platform workflows to enhance developer productivity and data discoverability.\nAssist 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.\nStay at the forefront of industry trends, emerging technologies, and market changes in data platforms, cloud services, and the broader fintech landscape.\n \nThis role reports to the \nData Platform Lead in Melbourne\n. 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.\nAbout you\nBachelor's degree in computer science, engineering, or equivalent extensive professional experience in data platform engineering\nMinimum 5 years’ experience in a data platform, data engineering, cloud or DevOps role, with at least 3 years building production workloads on AWS.\nStrong hands-on experience with infrastructure-as-code tooling for managing cloud and data infrastructure, including module design, state management, and multi-environment promotion.\nProficient with source control and CI\u002FCD practices; comfortable designing reusable pipelines and enforcing quality gates.\nProduction experience with event streaming and stream processing platforms, including operational tuning and resilience patterns.\nHands-on experience with cloud data warehousing platforms, including architecture, performance optimisation, and governance features.\nSolid understanding of core cloud services relevant to data platforms: compute, storage, networking, IAM, managed databases, secrets management, and observability. \nAbility to design cost-aware architectures and clearly communicate cost trade-offs to engineering and business stakeholders. \nProficiency in at least one programming language used in data platform work (Python, Java or Scala); SQL fluency is essential. \nExperience operating production data services — observability, alerting, incident response and post-incident review.\nExcellent written and verbal communication and the ability to present to both technical and nontechnical stakeholders. \nAble to work independently, self-organise, scope work and adapt to changing requirements in a fast-paced environment.\nDesirable\nHands-on experience with AWS and its data-adjacent services (e.g. MSK, EKS, RDS, S3, DMS, KMS, CloudWatch, Secrets Manager). \nProduction experience with Apache Kafka and Apache Flink, including stateful processing, exactly once patterns, and schema design. \nExperience implementing change data capture against relational sources and integrating with streaming platforms. \nDeep expertise in Snowflake, including Snowpark, data sharing, virtual warehouse sizing, and governance features (masking policies, row-level security, object tagging). \nFamiliarity with AWS resource tagging strategies, cost allocation tags, and FinOps tooling. \nUnderstanding of Model Context Protocol (MCP) and how it enables AI agents to interact with data platform services to automate workflows and accelerate platform operations. \nExperience with data catalogue or metadata management tooling (e.g. Alation or equivalent).\nWhy you will enjoy working with us\nCompetitive salary structure including company bonus scheme\nFlexible and hybrid working\nRemote working option - work from anywhere for up to 4 weeks per year\n10 days of Company paid sick leave annually  \n21 days of paid vacation within the first year of employment, increasing to 25 days after one year \n3 paid volunteering days per year & Workplace Giving Program\nComprehensive medical insurance with coverage for your healthcare needs\nPension fund\nEmployee referral bonuses for referring top talent to the company \nOngoing personal development & learning opportunities\nPeriodic recognition and reward programs for outstanding performance and achievements\nFrequent events and celebrations\nGenuinely collaborative and friendly culture\nEmployee Assistance Program & Wellbeing Initiatives\nConvenient and cozy office located near the Limassol Municipal Garden\nMore about Pepperstone\nWe’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 \nPepperstonecareers.com\n and \nwww.linkedin.com\u002Fcompany\u002Fpepperstone\u002F\nWe understand it’s important to do due diligence on a prospective employer, and see what our team is saying on \nGlassdoor\n. We respect our team members’ experiences and will never pay to remove a negative review.\nPepperstone is an equal-opportunity employer. We are passionate about building a diverse workplace and strongly encourage applications from any background.\n“We are a 2025 Circle Back Initiative Employer – we respond to every applicant”.\nWe 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.\nNote to external agencies: While we appreciate the efforts of external recruitment agencies, we prefer to engage directly with applicants for this opportunity.",{"@type":18,"name":9},"Organization","2026-06-02","HYBRID",[22],"PERMANENT",[24],"Financial Technology (FinTech)",[26,27,28,29,30,31,32,33,34,35,36,37,38,39,40,41,42,43,44,45,46,47,48,49,50,51,52,53,54],"Python","SQL","Terraform","Kafka","Apache Flink","Debezium","Snowflake","AWS","GitHub Actions","CI\u002FCD","Infrastructure as Code","Java","Scala","Communication","Teamwork","Independence","Adaptability","Problem Solving","Stakeholder Management","Data Platform Engineering","Event Streaming","Stream Processing","Cloud Data Warehousing","Change Data Capture","FinOps","Data Governance","Incident Response","Observability","Model Context Protocol",{"@type":56,"currency":57,"value":58},"MonetaryAmount","EUR",{"@type":59,"minValue":60,"maxValue":61,"unitText":62},"QuantitativeValue",80000,120000,"YEAR",[64],34.6824711,[66],33.0527214,"permanent",[69],"FULL_TIME",[69],"hybrid","estimated",[74,75,76,77,78,79,80,81,82,83,84,85,86,87,88],"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",[74,75,76,77,78,79,80,81,82,83,84,85,86,87,88],"financial technology (fintech)",[92],"pepperstone, limassol, cyprus",[94],"Myronos 3, Limasol 3035, Zypern",[96],"Myronos 3",[98],"Lemesos",[100],"3035",[102],"Zypern",[104],"CY","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.\n\nWe 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 700+ team across 12 regions and 9 time zones.\n\n## Product and team context\n\nThis 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.\n\nThe 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 \u002F 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.\n\nDelivery 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.\n\n## The Role\n\nThe 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.\n\nThis 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\u002FCD best practice.\n\nEngaging 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.\n\n## Key Responsibilities\n\n- Work with the Data Platform team to design, implement and maintain scalable, secure and resilient services across the Pepperstone Enterprise Data Platform.\n- Own and operate core streaming infrastructure — Debezium (CDC), Kafka (MSK), and Apache Flink — ensuring reliability, performance, and availability for consuming teams.\n- Optimise critical Data platform services including data lakes, data warehouses, stream processing (Kafka, Flink), and real-time analytics platforms on AWS.\n- 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.\n- Implement and enforce AWS resource tagging strategies, cost allocation policies, and FinOps practices to drive cloud cost transparency and optimisation across the EDP.\n- Drive technical initiatives from conception to delivery, managing stakeholder expectations and coordinating cross-functional efforts with both technical and business teams.\n- Design and implement sophisticated monitoring, alerting, and observability solutions for data platform services, leading incident response and post-mortem analysis.\n- Collaborate closely with the data governance team to design and implement robust governance frameworks, including Snowflake data sharing, masking policies, and row-level security.\n- Integrate AI-assisted tooling and Model Context Protocol (MCP) capabilities into data platform workflows to enhance developer productivity and data discoverability.\n- 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.\n- Stay at the forefront of industry trends, emerging technologies, and market changes in data platforms, cloud services, and the broader fintech landscape.\n\nThis 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.\n\n## About you\n\n- Bachelor's degree in computer science, engineering, or equivalent extensive professional experience in data platform engineering\n- Minimum 5 years’ experience in a data platform, data engineering, cloud or DevOps role, with at least 3 years building production workloads on AWS.\n- Strong hands-on experience with infrastructure-as-code tooling for managing cloud and data infrastructure, including module design, state management, and multi-environment promotion.\n- Proficient with source control and CI\u002FCD practices; comfortable designing reusable pipelines and enforcing quality gates.\n- Production experience with event streaming and stream processing platforms, including operational tuning and resilience patterns.\n- Hands-on experience with cloud data warehousing platforms, including architecture, performance optimisation, and governance features.\n- Solid understanding of core cloud services relevant to data platforms: compute, storage, networking, IAM, managed databases, secrets management, and observability. \n- Ability to design cost-aware architectures and clearly communicate cost trade-offs to engineering and business stakeholders. \n- Proficiency in at least one programming language used in data platform work (Python, Java or Scala); SQL fluency is essential. \n- Experience operating production data services — observability, alerting, incident response and post-incident review.\n- Excellent written and verbal communication and the ability to present to both technical and nontechnical stakeholders. \n- Able to work independently, self-organise, scope work and adapt to changing requirements in a fast-paced environment.\n\n## Desirable\n\n- Hands-on experience with AWS and its data-adjacent services (e.g. MSK, EKS, RDS, S3, DMS, KMS, CloudWatch, Secrets Manager). \n- Production experience with Apache Kafka and Apache Flink, including stateful processing, exactly once patterns, and schema design. \n- Experience implementing change data capture against relational sources and integrating with streaming platforms. \n- Deep expertise in Snowflake, including Snowpark, data sharing, virtual warehouse sizing, and governance features (masking policies, row-level security, object tagging). \n- Familiarity with AWS resource tagging strategies, cost allocation tags, and FinOps tooling. \n- 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. \n- Experience with data catalogue or metadata management tooling (e.g. Alation or equivalent).\n\n## Why you will enjoy working with us\n\n- Competitive salary structure including company bonus scheme\n- Flexible and hybrid working\n- Remote working option - work from anywhere for up to 4 weeks per year\n- 10 days of Company paid sick leave annually  \n- 21 days of paid vacation within the first year of employment, increasing to 25 days after one year \n- 3 paid volunteering days per year & Workplace Giving Program\n- Comprehensive medical insurance with coverage for your healthcare needs\n- Pension fund\n- Employee referral bonuses for referring top talent to the company \n- Ongoing personal development & learning opportunities\n- Periodic recognition and reward programs for outstanding performance and achievements\n- Frequent events and celebrations\n- Genuinely collaborative and friendly culture\n- Employee Assistance Program & Wellbeing Initiatives\n- Convenient and cozy office located near the Limassol Municipal Garden\n\n## More about Pepperstone\n\nWe’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.com and www.linkedin.com\u002Fcompany\u002Fpepperstone\u002F\n\nWe understand it’s important to do due diligence on a prospective employer, and see what our team is saying on Glassdoor. We respect our team members’ experiences and will never pay to remove a negative review.\n\nPepperstone is an equal-opportunity employer. We are passionate about building a diverse workplace and strongly encourage applications from any background.\n\n“We are a 2025 Circle Back Initiative Employer – we respond to every applicant”.\n\nWe 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.\n\nNote to external agencies: While we appreciate the efforts of external recruitment agencies, we prefer to engage directly with applicants for this opportunity.",{"aws":107,"sql":107,"java":108,"ci\u002Fcd":108,"kafka":107,"scala":108,"python":107,"debezium":107,"snowflake":107,"terraform":107,"apache flink":107,"github actions":108,"infrastructure as code":107},4,3,[26,27,28,29,30,31,32,33,34,35,36,37,38],{"communication":107,"teamwork":107,"independence":107,"adaptability":107,"problem solving":107,"stakeholder management":107},[39,40,41,42,43,44],{"finops":108,"observability":108,"data governance":108,"event streaming":107,"incident response":108,"stream processing":107,"change data capture":107,"cloud data warehousing":107,"model context protocol":113,"data platform engineering":107},2,[45,46,47,48,49,50,51,52,53,54],{"detected_language_jobad":116,"required":117},"en",[118],[119],{"language":120,"level":121},"ENGLISH","C1",5,[124,125],"Information and Communications Technology Professionals","Finance Professionals",[124,125],"https:\u002F\u002Fapply.workable.com\u002Fpepperstone\u002Fj\u002F8e466d3bc1\u002F","https:\u002F\u002Fworkablehr.s3.amazonaws.com\u002Fuploads\u002Faccount\u002Flogo\u002F564195\u002Flogo","financial technology","Financial Technology",1]