Description
You will join a team building the VISTA (Data Analytics) Fallback Platform, a strategic initiative focused on ensuring operational resilience and business continuity for ING's data and analytics ecosystem. The platform provides fallback capabilities for critical analytical and reporting workloads by leveraging modern lakehouse and data platform technologies. The solution is designed to enable rapid recovery and continued operation of key business processes during crisis scenarios.
Responsibilities
•Designing, building, and maintaining ING's Data Analytics Fallback Platform
•Creating resilient data platform capabilities that support critical business workloads during disaster recovery and fallback scenarios
•Developing and operating solutions based on Apache Spark, Apache Airflow, Apache Iceberg, Trino, and object storage technologies
•Building and maintaining data processing, orchestration, storage, and metadata-management capabilities
•Implementing replication, synchronization, reconciliation, and recovery mechanisms for critical datasets
•Building and optimizing analytical and batch-processing pipelines using modern cloud and data technologies
•Improving platform observability through monitoring, logging, alerting, and operational readiness practices
•Ensuring platform reliability, security, recoverability, and operational resilience
•Implementing backup, restore, disaster recovery, and business continuity capabilities
•Collaborating with platform, infrastructure, security, and data engineering teams across ING
•Contributing to architecture decisions, engineering standards, automation initiatives, and technical roadmaps
•Participating in support, operational readiness, and on-call activities where required
Requirements
•4+ years of experience in Data Engineering, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
•Hands-on experience in at least one of the following domains and practical knowledge of related technologies:
•Data Processing & Analytics: Apache Spark, DBT, Python, SQL, BigQuery, Trino
•Data Lake & Storage: Apache Iceberg, Hive Metastore, MinIO/S3-compatible Object Storage, Google Cloud Storage
•Platform & Infrastructure: Kubernetes, Docker, Linux, Keycloak, Ceph, Ingress / Networking
•Reliability & Operations: Monitoring, Logging, Alerting, Data Replication, Backup & Restore, Disaster Recovery
•Experience building, operating, or supporting 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
Nice to have
•Airflow-based orchestration platforms
•Keycloak, Ceph, or enterprise-scale platform services
•Designing and operating large-scale data platforms
•Disaster recovery, business continuity, or fallback solutions
•Modern lakehouse architectures based on Apache Iceberg
•Data replication and synchronization at scale
•Migrating workloads between cloud and on-premise environments
Conditions
•Senior specialist position: 9,600 - 22,000 PLN
•Expert position: 13,000 - 28,000 PLN
•The financial ranges specified in the announcement are adjusted and may differ from the range specified in the remuneration regulations.
•Format: hybrid, Warsaw
