Data Engineer
Core
Design, build, and maintain secure, scalable, and high-performing data solutions that support business-critical data products across ING's banking and financial services landscape.
Role type
Mid-to-senior Data Engineer
Builds
Data products, data pipelines, and data platforms
Domain
Banking and financial services
Deliverable
production ML models | product features | infrastructure
Required skills
Python, SQL, relational databases, NoSQL databases, data warehousing, data modeling, data architecture, ETL/ELT processes, data pipelines, data ingestion, transformation, storage, processing, software quality practices, data pipeline testing, CI/CD, DevOps, automation, scripting
Preferred skills
Cloud platforms (Azure, AWS, GCP), streaming technologies (Kafka, Flink), Spark, large-scale data processing, Docker, Kubernetes, Microsoft SQL Server, Oracle databases
Technologies
Python, SQL, Azure, AWS, GCP, Kafka, Flink, Spark, Docker, Kubernetes, Microsoft SQL Server, Oracle
Responsibilities
Design and build scalable data solutions, maintain data pipelines, collaborate with Product Owners and Data Analysts, work across the full data lifecycle from ingestion to consumption
Seniority
Mid-to-senior, hands-on IC
