Senior Data Platform Engineer

ING is hiring a Senior Data Platform Engineer. Level rates it ; you can apply on ING.

Level's read on this job

Little AI ●○○○ is how Level rates this role: aI is not part of the work.
The posting mentions Python, SQL and Apache Spark among its tools and skills.
Level classes it as a senior role.
ING has 689 other open roles on Level.
Posted within the past two weeks.

AI in this role

Design and maintain resilient data platforms, pipelines, and disaster recovery data analytics fallback solutions.

pythonsqlapache-sparkdbtbigquerytrinoapache-icebergkubernetesdockergoogle-cloud-platformairflow

data-engineeringplatform-engineeringdisaster-recoveryinfrastructure-as-code

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.

How we rate this

Senior Data Platform Engineer at ING rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.

Classification

Little AI. AI is not part of the work.

●●●● Builds AI80 to 100
●●●○ Works on AI60 to 79
●●○○ Uses AI40 to 59
●○○○ Little AI0 to 39

Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.

Key facts

Senior Data Platform Engineer is an open job at ING.
Level rates this role AI Level 1 of 4: Little AI.
The role is based in Warszawa (Pańska 97).
The job was posted on October 23, 2026.
Seniority: senior.
Applications are handled by ING. Apply on ING

Prepare for this job

Built from this posting and from similar jobs on Level.

Skills and AI tools this role asks for

Data EngineeringPlatform EngineeringDisaster RecoveryInfrastructure As CodePythonSQLApache Sparkdbt

Questions you could be asked

Tell me about a project where data engineering was part of your work. What did you do?
Tell me about a project where platform engineering was part of your work. What did you do?
Tell me about a project where disaster recovery was part of your work. What did you do?
Tell me about a project where infrastructure as code was part of your work. What did you do?
Walk me through how you've used Python in your day-to-day work.

Adapt your resume

List these exact terms on your resume: Data Engineering, Platform Engineering, Disaster Recovery, Infrastructure As Code, and Python. An applicant tracking system matches the wording, not the idea.
Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.

Want an expert to read your CV for this job?

Free. Send your CV and the role you want next. You get your review by email within 24 hours.

Get a free CV review Get your CV rewritten Check your resume with the ATS resume checker