Senior Data Platform Engineer

ING; Warszawa; On-site; PLN 107,000 - 246,000; Full time

Job summary

ING Hubs Poland is seeking senior-level engineers to join the VISTA (Data Analytics) Fallback Platform team in Warszawa. You will design, build and operate resilient data platform capabilities supporting critical workloads during disaster recovery and fallback scenarios.

The role emphasizes Spark, Airflow, Iceberg, Trino, and cloud-native infrastructures across ING’s analytics ecosystem. You will collaborate with cross-functional teams to ensure platform reliability, observability, and

Qualifications

• 4+ years of experience in Data Engineering, Platform Engineering, Infra or SRE.
• Hands-on experience with modern data platforms and distributed data processing environments.
• Practical experience with Google Cloud Platform (GCP) and cloud-native tech.
• 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 for disaster recovery and fallback scenarios.
• Develop and operate solutions based on Spark, Airflow, Iceberg, Trino, and object storage tech.
• Build and optimize data processing, orchestration, storage and metadata-management capabilities.
• Implement replication, synchronization, reconciliation and recovery mechanisms for critical datasets.
• Collaborate with platform, infra, security and data engineering teams at ING.
• Contribute to architecture decisions, automation initiatives and roadmaps.
• Participate in support, on-call activities as required.

Skills

Data Engineering

Platform Engineering

Site Reliability

Cloud Expertise

CI/CD

Tools

Kubernetes

Docker

Linux

Keycloak

Ceph

Ingress/Networking

Apache Spark

DBT

Python

SQL

BigQuery

Trino

Iceberg

Hive Metastore

MinIO

Job description

ING Hubs Poland is hiring!

The expected salary for:

senior specialist position: 9600 - 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.

We are looking for you, if you:

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

You’ll get extra points for experience with:

• 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

Your responsibilities will relate to:

• 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

Information about the squad:

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.

We value ownership, innovation, collaboration, and continuous improvement. You will have the opportunity to work on one of ING’s most strategic engineering initiatives and help shape the future of resilient data platforms.

The role naming convention in the global ING job architecture will be “Engineer III” or “Engineer IV”. This position is intended to strengthen the team responsible for delivering and operating the VISTA Fallback solution, combining expertise in Data Engineering, Platform Engineering, and Reliability Engineering.