Senior Data Platform Engineer - Resilient Lakehouse & DR

ING Hubs Poland; Województwo mazowieckie; On-site; PLN 107,000 - 312,000; Full time

Job summary

ING Hubs Poland is seeking an experienced Data/Platform Engineer to design and operate the VISTA Data Analytics Fallback Platform. You will work on resilient data platforms, enabling critical analytics workloads to recover quickly during crises.

The role emphasizes building with Spark, Airflow, Iceberg, and object storage, as well as ensuring data reliability, security, and operational resilience across ING’s data ecosystem.

Qualifications

• 4+ years of experience in Data Engineering, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering.
• Hands-on with modern data platforms and distributed data processing environments.
• Practical experience with Google Cloud Platform (GCP) and cloud-native technologies.
• Experience with automation, CI/CD, and infrastructure-as-code practices.

Responsibilities

• Design, build, and maintain ING’s Data Analytics Fallback Platform.
• Create resilient data platform capabilities supporting workloads during disaster recovery.
• Develop and operate solutions using Spark, Airflow, Iceberg, Trino, and object storage.
• Build and maintain data processing, orchestration, storage, and metadata-management capabilities.
• Implement replication, synchronization, reconciliation, and recovery for critical datasets.
• Enhance analytics pipelines using modern cloud and data technologies.
• Improve platform observability with monitoring, logging, and alerting.

Skills

Data engineering

Platform engineering

Site reliability engineering

CI/CD

GCP / cloud-native

Tools

Apache Spark

Apache Airflow

Apache Iceberg

Trino

Object storage (S3/MinIO)

Job description

ING Hubs Poland is seeking an experienced Data/Platform Engineer to design and operate the VISTA Data Analytics Fallback Platform. You will work on resilient data platforms, enabling critical analytics workloads to recover quickly during crises.

The role emphasizes building with Spark, Airflow, Iceberg, and object storage, as well as ensuring data reliability, security, and operational resilience across ING’s data ecosystem.