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Senior Data Platform Engineer

ING ing.com Open
Warszawa Katowice Full-time Senior Data Engineering

At a glance

Senior Data Engineering role at ING. Warszawa · full-time.

Pay not stated Data Platform Engineer salary

RoleData Engineering
SenioritySenior
LocationWarszawa
EmploymentFull-time
PostedOct 23, 2026
Also hiring inKatowice
Role brief

dataroles summary, based on the employer's posting.

What you'll do

  • Build and run ING’s analytics fallback platform so critical workloads can keep operating through recovery scenarios
  • Develop platform components for processing, orchestration, storage and metadata using the named data technologies
  • Create replication, synchronization, reconciliation and recovery mechanisms for important datasets
  • Build and tune analytical and batch pipelines, while improving monitoring, logging and alerting
  • Strengthen backup, restore and continuity capabilities, and take part in operational support and on-call work

What you bring

  • At least four years in data, platform or infrastructure engineering, or site reliability engineering
  • Practical experience in at least one listed technology domain, such as data processing, storage, infrastructure or reliability
  • Experience supporting modern data platforms and distributed processing, with hands-on GCP and cloud-native work
  • Practical use of automation, CI/CD and infrastructure-as-code

Who this fits

This senior role suits an engineer combining data platform work with reliability and operational resilience. You’ll work with platform, infrastructure, security and data engineering teams, and may participate in on-call activities.

From the employer

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.

Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Data Engineering

Find me work

By the team behind dataroles.

Find me work
Opportunity

Data Engineering work from LinkedIn, X, Reddit and Upwork, in one list.

Each morning you get everything that fits, strongest first.

Find me work

By the team behind dataroles.