GCP Data Engineer

We are looking for you,if you:

• have Infrastructure as Code mindset (Terraform knowledge preferred with Azure DevOps pipelines),

• have experience with public cloud networking,

• have experience with managed cloud services (GCP preferred: GKE, GCS, BQ, Dataproc),

• have hands-on distributed monitoring and logging experience (Prometheus, Elastic stack),

• have knowledge in secure authentication (i.e. OIDC),

• programming skills (Python preferred), 

• are able to clearly express ideas, facts and opinions, which makes you great in communication.

You'll get extra points for:

• programming skills a big plus (GO preferred),

• distributed (cloud) storage, Ceph, AWS S3 ,GFS,

• experience with deployment and provisioning automation tools (e.g., Docker, Kubernetes, CI/CD),

• experience with Apache Airflow, Spark, Python, Kedro.

Your responsibilities:

• platform development,

• data analytics platform components maintenance,

• architecture development and experiments,

• preparing cloud-ready and IaC-based solutions,

• managing monitoring for the platform.

Information about the squad:

ING is now building its Data Analytics Platform in Google Cloud! It is to help ING to be even more data-driven. This is a joined effort between ING units and you are going to be part of distributed multi-national and multi-cultural team. There is plenty of work and fun down this road.

The role naming convention in the global ING job architecture will be “Engineer IV”.