Big Data Engineer
nr ref: 185/6/2025/DT/91539
W Antal zajmujemy się rekrutacją od ponad 20 lat. Dzięki działaniu w 10 wyspecjalizowanych dywizjach, świetnie orientujemy się w aktualnych trendach branżowych. Precyzyjnie określamy specyfikę stanowiska, klasyfikując kluczowe umiejętności i niezbędne kwalifikacje. Naszą misją jest nie tylko znalezienie kandydata, którego kompetencje wpisują się w wymagania danego ogłoszenia, ale przede wszystkim stanowiska, spełniającego oczekiwania kandydata. Numer rejestru agencji zatrudnienia: 496.
Job Title: Full Stack Engineer (Big Data)
Location: Kraków
About the Role
You will work as part of a newly established engineering team in Kraków, responsible for the development, enhancement, and support of high-volume data processing systems and OLAP solutions used in global traded risk management.
Key Responsibilities
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Design, develop, test, and deploy scalable IT systems to meet business objectives
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Build data processing and calculation services integrated with risk analytics components
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Collaborate with BAs, business users, vendors, and IT teams across regions
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Integrate with analytical libraries and contribute to overall architecture decisions
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Apply DevOps and Agile methodologies, focusing on test-driven development
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Provide production support, manage incidents, and ensure platform stability
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Contribute to both functional and non-functional aspects of delivery
Required Qualifications & Skills
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Degree in Computer Science, IT, or a related field
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Fluent in English, with strong communication and problem-solving skills
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Hands-on experience with big data solutions and distributed systems (e.g., Apache Spark)
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Strong backend development using Java 11+, Python, and Groovy
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Experience in building REST APIs, microservices, and integrating with API gateways
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Exposure to public cloud platforms, especially GCP or AWS
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Familiarity with Spring (Boot, Batch, Cloud), Git, Maven, Unix/Linux
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Experience with RDBMS (e.g., PostgreSQL) and data orchestration tools (e.g., Apache Airflow)
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Solid understanding of test automation tools like JUnit, Cucumber, Karate, Rest Assured
Desirable Skills
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Knowledge of financial or traded risk systems
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Experience with UI/BI tools and streaming solutions
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OLAP and distributed computation platforms such as ClickHouse, Druid, or Pinot
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Familiarity with data lakehouse technologies (e.g., Dremio, Trino, Delta Lake, Iceberg)
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Exposure to technologies like Apache Flink, Beam, Samza, Redis, Hazelcast
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Containerization and orchestration tools: Docker, Kubernetes
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Certifications: Scrum Master, PMP, FRM, or CFA
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Knowledge of RPC frameworks (e.g., gRPC)
