Senior Data Platform Engineer

ING

. Design, build, and maintain ING’s Data Analytics Fallback Platform .

Posted 10/23/2026full-timeWarsaw • PolandSenior💰 PLN 9,600 - PLN 28,000 per monthWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in building and maintaining resilient data platforms, with a strong focus on disaster recovery, data processing, and analytics technologies. Proficient in implementing operational readiness practices and collaborating across teams to enhance platform reliability and security.

Highest-signal resume keywords

Apache SparkData Processing & AnalyticsGoogle Cloud Platform (GCP)Disaster RecoveryCI/CD Practices

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

PythonSQLBigQueryApache AirflowApache IcebergData ReplicationBackup & RestoreMonitoringLoggingAlerting

Tools & Technologies

KubernetesDockerLinuxKeycloakCephMinIO/S3-compatible Object StorageGoogle Cloud StorageOrchestration Platforms

Industry Keywords

Data EngineeringPlatform EngineeringInfrastructure EngineeringSite Reliability EngineeringOperational Resilience

Tech Stack

Tools & technologies

AirflowApacheBigQueryCloudDockerGoogle Cloud PlatformKubernetesLinuxPythonSparkSQL

About the role

Key responsibilities & impact

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
Strengthen the team responsible for delivering and operating the VISTA Fallback solution

Requirements

What you’ll need

4+ years of experience in Data Engineering, Platform Engineering, Infrastructure Engineering, or Site Reliability Engineering
Hands-on experience in Data Processing & Analytics technologies: Apache Spark, DBT, Python, SQL, BigQuery, Trino
Practical knowledge of Data Lake & Storage technologies: Apache Iceberg, Hive Metastore, MinIO/S3-compatible Object Storage, Google Cloud Storage
Practical knowledge of Platform & Infrastructure technologies: Kubernetes, Docker, Linux, Keycloak, Ceph, Ingress / Networking
Knowledge of 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
Experience with Airflow-based orchestration platforms, Keycloak, Ceph, enterprise-scale platform services, large-scale data platforms, disaster recovery, business continuity, fallback solutions, lakehouse architectures based on Apache Iceberg, data replication and synchronization at scale, or migrating workloads between cloud and on-premise environments is advantageous