Big Data Engineer @ ITDS

Big Data Engineer

Join us, and build data solutions that drive global innovation!

Kraków - based opportunity with hybrid work model (3 days / month in the office).

As a  Big Data Developer,  you will be working for our client, a leading global financial institution, contributing to the design and development of cutting-edge data solutions for risk management and analytics. The client is undergoing a strategic digital transformation, focusing on scalable, cloud-based big data platforms that support advanced analytics and regulatory compliance. You will be part of a high-performing Agile team, collaborating closely with business stakeholders and technical teams to build and maintain robust distributed systems that process large volumes of data efficiently.

You're ideal for this role if you have :

• A degree in Computer Science, IT, or a related discipline
• Proven experience in designing and developing big data systems
• Hands-on experience with Spark and distributed computing
• Solid Java, Python, and Groovy development skills
• Strong knowledge of the Spring ecosystem (Boot, Batch, Cloud)
• Familiarity with REST APIs, Web Services, and API Gateway technologies
• Practical experience in DevOps tooling like Jenkins and Ansible
• Proficiency in using RDBMS, especially PostgreSQL
• Hands-on experience with public cloud platforms, particularly GCP
• Excellent communication in English

It is a strong plus if you have :

Big Data Engineer

Join us, and build data solutions that drive global innovation!

Kraków - based opportunity with hybrid work model (3 days / month in the office).

As a  Big Data Developer,  you will be working for our client, a leading global financial institution, contributing to the design and development of cutting-edge data solutions for risk management and analytics. The client is undergoing a strategic digital transformation, focusing on scalable, cloud-based big data platforms that support advanced analytics and regulatory compliance. You will be part of a high-performing Agile team, collaborating closely with business stakeholders and technical teams to build and maintain robust distributed systems that process large volumes of data efficiently.

,[Designing and developing distributed big data solutions using Spark , Implementing microservices and APIs for data ingestion and analytics , Managing cloud-native deployments primarily on GCP , Writing and maintaining test automation frameworks using tools like JUnit, Cucumber, or Karate , Collaborating with cross-functional teams to translate business requirements into technical specifications , Developing and scheduling data workflows using Apache Airflow , Maintaining and optimizing existing big data pipelines , Utilizing DevOps tools such as Jenkins and Ansible for CI / CD automation , Participating in Agile ceremonies and contributing to sprint planning and retrospectives , Monitoring, troubleshooting, and improving data systems and services ] Requirements : Big data, risk management, Spark, Microservices, GCP, Test automation, JUnit, Cucumber, Data pipelines, DevOps, Jenkins, Ansible, Degree, Distributed computing, Java, Python, Groovy, Spring, Boot, Cloud, REST API, Web services, API Gateway, RDBMS, PostgreSQL, Cloud platform, Apache Beam, Flink, OLAP, Docker, Kubernetes, gRPC, BI, UI, PMP Additionally : Sport subscription, Private healthcare.