GCP Data Engineer
ref nr: 229/4/2025/AJ/90659
In Antal we have been dealing with recruitment for over 20 years. Thanks to the fact that we operate in 10 specialised divisions, we have an excellent orientation in current industry trends. We precisely determine the specific nature of the job, classifying key skills and necessary qualifications. Our mission is not only to find a candidate whose competences fit the requirements of the given job advertisement, but first and foremost a position which meets the candidate’s expectations. Employment agency registration number: 496.
GCP Data Engineer – STAR Platform
Location: Kraków / Hybrid Work ( 2 x week from office)
Are you ready to build impactful solutions on a global scale? Join a forward-thinking team that powers critical risk calculations in one of the world's leading financial institutions.
About the Role
We are looking for a talented GCP Data Engineer with a strong Java background to join the STAR platform team. STAR is HSBC’s strategic cloud-native platform designed to generate and deliver risk factor definitions, historical market data, and scenarios for Value at Risk (VaR) and Expected Shortfall (ES) calculations.
The platform leverages data pipelines and microservices, combining both real-time and batch processing to handle large-scale datasets. You’ll be joining a global team of developers within the Global Traded Risk Technology department, working in an open, inclusive, and innovation-driven environment.
What You’ll Do
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Translate complex business requirements into secure, scalable, and high-performance data solutions
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Design and implement performant data processing pipelines (batch and streaming)
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Develop REST APIs and data ingestion patterns in a cloud-native architecture
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Integrate internal systems with a focus on cost optimization and fast data processing
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Modernize and enhance existing pipelines and microservices
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Create and maintain solution blueprints and documentation
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Conduct peer code reviews and provide constructive feedback
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Promote test-centric development practices including unit and regression tests
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Ensure consistent logging, monitoring, error handling, and automated recovery aligned with industry standards
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Collaborate closely with engineers, analysts, and stakeholders across regions
Required Skills & Experience
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Strong proficiency in Java and Spring Boot
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Understanding of key software design principles: KISS, SOLID, DRY
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Hands-on experience building data processing pipelines (preferably with Apache Beam)
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Experience designing and building RESTful APIs
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Familiarity with relational and NoSQL databases, especially PostgreSQL and Bigtable
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Basic knowledge of DevOps and CI/CD tools, including Jenkins and Groovy scripting
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Experience with integration frameworks and patterns (e.g., Saga, Lambda)
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Strong problem-solving and analytical skills
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Excellent communication skills and ability to thrive in a collaborative team environment
Nice to Have
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Experience with Google Cloud Platform (GCP) services: GKE, Cloud SQL, Dataflow, Bigtable
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Familiarity with OpenTelemetry, Prometheus, Grafana
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Knowledge of Kubernetes, Docker, and Terraform
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Messaging/streaming experience with Kafka
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UI experience with Vaadin
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Exposure to Apache Beam in large-scale data environments
