9 days ago
Warsaw, PolandStaff+
Responsibilities
- Design, develop, and optimize cloud-based data pipelines.
- Automate testing and ensure the security, stability, and performance of data solutions.
- Work with structured and unstructured data across cloud and on-premises environments.
- Contribute to architecture decisions and engineering best practices.
- Collaborate with international teams to deliver efficient, high-quality solutions for financial risk calculations.
Requirements
- Strong SQL and database expertise.
- Experience with Python or Java.
- Experience with GCP, including BigQuery, Dataflow, and Cloud Composer, or equivalent services from AWS or Azure.
- Knowledge of CI/CD tools including Azure DevOps, Git, and Maven.
- Knowledge of automated testing and Infrastructure as Code, such as Terraform.
- Advanced English proficiency and an analytical, proactive approach.
- Preferred experience with DBT, Looker, data governance, Apache Beam, Spark, Flink, or Kafka.
Benefits
- Hybrid work arrangement.
- Work with cloud technologies including GCP, BigQuery, Dataflow, and Terraform.
- International team environment across four locations.
- Continuous learning and career growth opportunities.
- Opportunity to contribute to ING’s global financial risk analytics platform.
Tech Stack
Apache BeamApache FlinkApache KafkaApache SparkAWSAzuredbtGitGoogle BigQueryGoogle Cloud PlatformJavaMavenPythonSQLTerraform
Categories
Data Engineering
About ING
ING is a Dutch multinational bank providing retail, private, and wholesale banking, with strong digital and mobile services for consumers and businesses. Founded in 1991 and headquartered in Amsterdam, it operates across Europe and beyond, earning revenue from interest income, fees, and financial services. ING is a public company with shares traded in New York.