Big Data Engineer with Java

Reposted 7 Hours Ago
Be an Early Applicant
2 Locations
In-Office
13K-28K Annually
Senior level
Fintech • Payments • Financial Services
The Role
As a Senior Data Engineer, you'll design, implement, and maintain a Hadoop-based data platform, focusing on data pipelines, collaboration with international teams, and industry standards in data management.
Summary Generated by Built In

ING Hubs Poland is hiring!

The expected salary for this position: 13000 - 28000 PLN

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

We are looking for you if You:

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

You'll get extra points for:

  • 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

Your responsibilities:

In this role, you will design, develop, and maintain microservices using Java, Spark, Scala, Spring Boot and Python. 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 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.

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.

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.

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

The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.

Skills Required

  • Hands-on experience with Hadoop ecosystem and Confluent Kafka
  • Expertise in Java/Scala, Python and Ansible
  • Experience in building batch and streaming data pipelines using Apache Nifi and Spark
  • Proficient in building microservices and event driven architecture
  • Experience in designing highly available, scalable, and fault-tolerant data platforms
  • Knowledge of data security, access management and risk compliance
  • Good understanding of CI/CD concepts and Elastic based monitoring solutions
Am I A Good Fit?
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The Company
Amsterdam, North Holland
65,710 Employees

What We Do

ING is a pioneer in digital banking and on the forefront as one of the most innovative banks in the world. As ING, we have a clear purpose that represents our conviction of people’s potential. We don’t judge, coach, or tell people how to live their lives. However big or small, modest or grand, we empower people and businesses to realise their vision for a better future. We made the promise to make banking frictionless, removing barriers to progress, and make people confident in their financial decisions. As a global bank we have a huge opportunity – and responsibility – to make an impact for the better. We can play a role by financing change, sharing knowledge, and innovating. Being sustainable is in all the choices we make—as a lender, as a partner and through the services we offer our customers

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