Senior Data Engineer

ING Hubs Poland is hiring! The expected salary for this position: 13000 – 28000 PLN.

Qualifications

• Strong Java programming skills with experience designing and developing microservices-based applications
• Hands‑on experience with Spring Boot, Apache Spark
• Solid understanding of Big Data technologies, including Spark, Hive, HDFS, Kafka and NiFi
• Working knowledge of databases, including Oracle/other RDBMS
• Comfortable working in Linux environments, with proficiency in shell scripting (Bash)
• Hands‑on experience with monitoring and visualization tools (e.g. Kibana)
• Strong DevOps mindset, including experience with CI/CD pipelines
• Strong motivation to design and build scalable, reliable, and maintainable systems
• Strong data‑driven mindset with high digital fluency and a clear focus on data quality, reliability, and governance
• Effective communication skills in English and the ability to collaborate confidently with diverse stakeholders
• Proven ability to design structured, reusable processes and work in a disciplined, production‑focused environment
• Team‑oriented, proactive, and curious mindset with a continuous focus on learning and process improvement
• Strong ownership and delivery mindset, covering the full lifecycle from development to production with a customer‑centric approach

Extra Points

• Experience working with Azure DevOps and Kubernetes
• Experience with Google Cloud Platform (GCP) is a plus, enabling contribution to cloud‑native and hybrid data initiatives
• Experience with Python, Scala and/or other JVM‑based languages
• Familiarity with observability and monitoring tools such as Grafana, Prometheus, and the ELK stack
• Experience working in an Agile/Scrum development environment

Responsibilities

• Design, develop, and maintain microservices using Java, Spark, Scala, Spring Boot and Python
• Build and support scalable generic ingestion pipelines using Hive, NiFi, and HDFS on the Cloudera platform
• Collaborate with ETL engineers to optimize snapshot‑based ingestion and metadata‑driven architectures
• Develop and maintain monitoring dashboards using tools such as Kibana, while automating operational tasks through Bash and other scripting tools
• Work with distributed systems on data platforms including Kafka, Spark, and Linux‑based environments
• Integrate with DataStage and Oracle systems to support enterprise data workflows
• Participate in code reviews, testing, and CI/CD processes to ensure high‑quality delivery
• Uphold best practices in software development, security, DevOps, and data engineering

Information about the squad: Wholesale Banking Data Ingestion Layer is one of the largest and most complex Data Lakes within ING. As an engineer in this space, you will contribute to the development and evolution of scalable, metadata‑driven ingestion solutions that power critical data flows across the bank. The platform serves as a foundational component for analytics, reporting, and regulatory compliance, and your work will directly impact its reliability, performance, and adaptability.

The role naming convention in the global ING job architecture will be “Engineer IV”.