Senior Data Platform Engineer

at ING

📍 Warsaw, Poland

PLN 115,200-336,000 per year

SENIOR

✅ On-site

✅ Visa Sponsorship

Tech Stack
Tag name is followed by "@" symbol and proficiency level value. About proficiency levels:

1-2 — basic awareness. Minimal hands-on experience, and a rudimentary understanding of the technology's purpose;

3-6 — daily use. Comfortable and regular usage, capable of handling common tasks and challenges related to the technology;

7-9 — you are an expert, you can teach others, you know all the pitfalls and tricks;

10 — exceptional knowledge, comprehensive understanding, and adeptness in all aspects of the technology, including advanced problem-solving. Think twice before claiming or demanding such level.

Airflow CI/CD @ 4 Ceph @ 6 Data Engineering @ 6 Docker @ 6 Hive @ 6 Kubernetes @ 6 Linux @ 6 Networking @ 6 Observability Python @ 6 SQL @ 6 SRE Security Spark @ 6 Trino @ 6 dbt @ 6

Details

ING Hubs Poland is hiring for a role supporting the VISTA Data Analytics Fallback Platform, a strategic initiative focused on operational resilience and business continuity for ING’s data and analytics ecosystem.

The expected monthly salary ranges are:

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.

Responsibilities

Design, build, and maintain ING’s Data Analytics Fallback Platform.
Create resilient data platform capabilities supporting critical business workloads during disaster recovery and fallback scenarios.
Develop and operate solutions based on Apache Spark, Apache Airflow, Apache Iceberg, Trino, and object storage technologies.
Build and maintain data processing, orchestration, storage, and metadata-management capabilities.
Implement replication, synchronization, reconciliation, and recovery mechanisms for critical datasets.
Build and optimize analytical and batch-processing pipelines using modern cloud and data technologies.
Improve platform observability through monitoring, logging, alerting, and operational readiness practices.
Ensure platform reliability, security, recoverability, and operational resilience.
Implement backup, restore, disaster recovery, and business continuity capabilities.
Collaborate with platform, infrastructure, security, and data engineering teams across ING.
Contribute to architecture decisions, engineering standards, automation initiatives, and technical roadmaps.
Participate in support, operational readiness, and on-call activities where required.

Requirements

At least 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 and Analytics: Apache Spark, dbt, Python, SQL, BigQuery, Trino.
- Data Lake and Storage: Apache Iceberg, Hive Metastore, MinIO or S3-compatible object storage, Google Cloud Storage.
- Platform and Infrastructure: Kubernetes, Docker, Linux, Keycloak, Ceph, ingress and networking.
- Reliability and Operations: Monitoring, logging, alerting, data replication, backup and restore, disaster recovery.
Experience building, operating, or supporting modern data platforms and distributed data processing environments.
Practical experience with Google Cloud Platform and cloud-native technologies.
Experience with automation, CI/CD, and infrastructure-as-code practices.

Additional Experience

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-premises environments.

Team

You will join a team building the VISTA Data Analytics Fallback Platform. The platform provides fallback capabilities for critical analytical and reporting workloads by leveraging modern lakehouse and data platform technologies. It is designed to enable rapid recovery and continued operation of key business processes during crisis scenarios.

The team values ownership, innovation, collaboration, and continuous improvement. The role combines expertise in Data Engineering, Platform Engineering, and Reliability Engineering. The global ING job architecture naming convention for this position will be “Engineer III” or “Engineer IV”.