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 𝐡𝐢𝐠𝐡-𝐩𝐞𝐫𝐟𝐨𝐫𝐦𝐢𝐧𝐠 𝐞𝐧𝐠𝐢𝐧𝐞𝐞𝐫𝐬 𝐫𝐢𝐬𝐤 𝐚𝐧𝐝 𝐨𝐩𝐞𝐫𝐚𝐭𝐢𝐨𝐧𝐬 𝐩𝐫𝐨𝐟𝐞𝐬𝐬𝐢𝐨𝐧𝐚𝐥𝐬.

We started out in 2015 as INGs 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 isnt a perk. Its 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.

Youll 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 youll 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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