Cloud Sql Jobs in Amsterdam

12 open positions · Updated 1 month ago

Showing 12 of 12 positions

Search with filters →

Software Engineer - Backend

Databricks Amsterdam, Netherlands Published 11 months ago

Spark Databricks AWS S3 Azure Blob Store Kubernetes

Apply →

Software Engineer - Fullstack

Databricks Amsterdam, Netherlands Published 11 months ago

C++ VueJs AWS JavaScript Java

Apply →

Staff Software Engineer - Backend

Databricks Amsterdam, Netherlands Published 11 months ago

Spark Databricks AWS S3 Azure Blob Store Kubernetes

Apply →

Senior Software Engineer - Backend

Databricks Amsterdam, Netherlands Published 11 months ago

Spark Databricks AWS S3 Azure Blob Store Kubernetes

Apply →

Senior Software Engineer - Fullstack

Databricks Amsterdam, Netherlands Published 8 months ago

C++ VueJs AWS JavaScript Java

Apply →

Senior Software Engineer - Data Integration & JVM Ecosystem Remote

Join ClickHouse as a Senior Software Engineer to enhance data integration tools for high-performance database engineering.

ClickHouse Amsterdam (Remote) Published 1 week ago

HTTP JDBC Java Apache Beam Apache Spark

Flexible on stack

Apply →

Senior Solutions Architect Remote

MongoDB Amsterdam Published 3 months ago

C++ Apache Kafka Java MongoDB SQL

Apply →

Staff Product Manager - Technical

Databricks Amsterdam, Netherlands Published 4 months ago

OLTP Databases Data Governance SQL Python Data Intelligence Platform

Apply →

Senior Solutions Architect - Lakewatch

Databricks Amsterdam, Netherlands Published 3 weeks ago

SOAR AWS XDR AI/ML Data Engineering

Apply →

Staff Product Manager

Databricks Amsterdam, Netherlands Published 1 year ago

cloud infrastructure Data Governance SQL

Apply →

AI Solutions Architect (Pre-sales) - Strategic Accounts Remote

Databricks Amsterdam, Netherlands Published 4 weeks ago

AWS Data Engineering Microsoft Databricks Apache Spark

Apply →

Solutions Architect (Pre-sales) Remote

Databricks Amsterdam, Netherlands Published 4 weeks ago

AWS Data Engineering Microsoft Apache Spark SQL

Apply →