As an Azure Data and DevOps Engineer, you set up data pipelines, data storage, and the AzureDevOps environment within the Data Management & Platform team, which works according to agile (Scrum).
Processing large data volumes, various data formats, and data preprocessing
Setting up data pipelines in Azure blob storage, data lake, SQL databases, or other storage forms
Taking care of the setup and management of the AzureDevOps environment
Ensuring that models and information products go into production in a structured manner
Setting up data exchange from Azure with the environment, in collaboration with Dictu
Coordinating with the Azure architect, data scientist, data analysts, and internal and external parties
Aligning data exchange with the environment and setting up information security
Aligning information product frameworks with data scientists
Context and objective
Working within the Data Management & Platform team of the Information Provision department
Developing and managing IMG's data platform and supporting the organization in all aspects of data management
Collecting data and performing analyses for clients within the IMG organization
Working according to agile (Scrum) in collaboration with Dictu
Contribute to the handling of damage caused by gas extraction in the Groningen field and the Norg and Grijpskerk gas storage facilities
To demand
You have completed a higher professional education (HBO+) and/or university (WO) degree.
You are Azure AZ-400 certified
Wishes
You have at least 4 years of experience setting up AzureDevOps and data pipelines (deployment by code/CGA), supported by concrete projects and a role description in your CV or cover letter.
You have at least 4 years of experience with SQL and Python, substantiated by concrete projects and a role description in your CV or cover letter.
You have experience with GitLab and/or MOPS and/or Docker and/or Kubernetes and/or REST, substantiated by concrete projects and a role description in your CV or cover letter.
You have experience at an executive organization within the government.
You have at least 2 years of experience with Databricks, substantiated by concrete projects and a role description in your CV or cover letter.
You have multiple certificates in modern development environments and tooling (Python, R, SAS Enterprise Guide, SQL, etc.)
