Big Data Developer @ING Hubs Romania

Discover ING Hubs Romania

ING Hubs Romania offers 130 services in software development, data management, non-financial risk & compliance, audit, and retail operations to 24 ING units worldwide, with the help of over 2000 hi h-performin en ineers, risk, and operations professionals.

We started out in 2015 as ING's software development hub, then steadily expanded our range to include more services and competencies. Now we provide borderless services with bank-wide capabilities and operate from two locations: Bucharest and Cluj-Napoca.

Our tech capabilities remain the core of our business, with more than 1800 colleagues active in Data Management, Touchpoint Channels & Integration, Core Banking, and Global Products.

We enjoy a flexible way of working and a highly collaborative environment, where fair and constructive feedback is encouraged.

For us, impact isn't a perk. It's the driver of our work. We are guided and rewarded by a shared desire to make the world a better place, one innovative solution at a time. Our colleagues make it their job to do impactful things and they love doing it in good company. Do you?

The Mission

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.

You'll be joining a team that operates at the intersection of software and data engineering, in a DevOps-oriented environment, where automation, resilience, and collaboration are key.

Your day to day

In this role, you will design, develop, and maintain microservices using Java, Scala, Spring Boot, Python, and Groovy. You will be responsible for building and supporting scalable generic ingestion pipelines using Hive, NiFi, and HDFS on the Cloudera platform. Collaboration with ETL engineers will be key as you optimize snapshot-based ingestion and metadata-driven architectures. You will also develop and maintain monitoring dashboards using tools such as Apache Superset and Kibana, while automating operational tasks through Bash and other scripting tools.

Your daily work will involve distributed systems on data platforms including Kafka, Spark, and Linux-based environments. You will integrate with DataStage and Oracle systems to support enterprise data workflows, and participate in code reviews, testing, and CI/CD processes to ensure high-quality delivery. Throughout, you will uphold best practices in software development, security, DevOps, and data engineering.

What you'll bring to the team

You bring strong programming skills in Java, Scala, Python, Groovy, and Bash, along with experience in Spring Boot, Spark, and microservices architecture. Your solid understanding of Big Data technologies such as Spark, Hive, HDFS, Kafka, and NiFi will be essential, as will your familiarity with ETL processes, DataStage, and Oracle.

You are comfortable working in Linux environments and proficient in shell scripting. Your hands-on experience with monitoring and visualization tools like Apache Superset and Kibana, combined with a DevOps mindset and CI/CD pipeline expertise, will make you a valuable contributor.

Most importantly, you thrive in collaborative, cross-functional teams and are driven by a passion for building scalable, reliable systems.

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