Data Engineer - Fluent Dutch required

Introduction
In this role you’ll work in one of our IBM Consulting Client Innovation Centers where we deliver deep technical and industry expertise to a wide range of public and private sector clients around the world.​ Our centers offer our clients locally based skills and technical expertise to drive innovation and adoption of new technology.

Your Role and Responsibilities
Our business is supporting our clients in their journey to become data-driven by building data platforms and intelligent applications. As a Data Engineer you will join our Data Services practice. The practice is our community full of passionate data enthusiasts consisting of Architects Data Engineers Data Scientists ML Engineers and BI specialists and more. You will work directly with our clients in design build and run of Data and AI Solutions that help clients’ leverage the full potential of their data. Day to day activities include:

• Be a data advocate for our clients helping them unlock business value by using their data.

• Help our clients modernise their data landscape by choosing the right tools storage and processing solutions.

• Design and build data pipelines and ingestion frameworks.

• Design and build analytical models.

If you have any questions about the position please feel free to contact Talent Acquisition Partner Haineto F. Smeding at [email protected] . Please note that we invite interviews on an ongoing basis and may choose to close recruitment once we have found the right match. Once you have clicked ‘apply now’ you can upload your CV. Then the recruitment process begins.

Required Technical and Professional Expertise

• 3+ years of work experience as a Data Engineer

• Experience with SQL and Python

• Experience with data ingestion tools such as Azure Data Factory AWS Glue or Airflow

• Experience with data processing tools such as Databricks Spark EMR

• Solid understanding of storage formats and types

• Experience with SQL and Python

• Good working knowledge in Dutch

Preferred Technical and Professional Expertise

• Certified in Azure

• Experience in orchestration technologies (OpenShift Kubernetes)

• Understanding of Data Modelling Metadata Management and Data Warehousing

• Experience in the latest Lakehouse technologies such as Snowflake Delta Lake and Synapse

• Experience in Google Cloud Platform