Azure Data Engineer

You will play a major role in developing the cloud-based architecture to analyze and process data according to the needs of our clients. Some tasks you’ll be working on:

• Setting up data platform technologies which manage and secure the flow of structured and unstructured data from multiple sources;
• Building jobs to move data from various sources to Azure Data Lake Storage, also across different layers on Azure;
• As Azure (and services offered) is a fast-changing world, you learn and adapt to new tools and services in the Azure ecosystem;
• Create and maintain an optimal data pipeline architecture;
• Create reusable, maintainable, scalable (vertical, horizontal) integrations/services using a cutting-edge hybrid cloud infrastructure;
• Deploy models in production, as well as maintain a continuous integration pipeline, including monitoring and optimization of the system’s performance and cost;
• Get, ingest, transform, validate, and clean up data to meet functional/non-functional business requirements.

• Bachelor or master’s degree;
• 2+ years of working experience as a Data Engineer within Azure, preferably with Microsoft Azure Data Lake Storage, Azure Data Factory, Azure Databricks, Cosmos DB and Azure SQL Server;
• Preferably certified Microsoft DP-200 Implementing an Azure Data Solution and Microsoft DP-201 Designing an Azure Data Solution;
• Experience and knowledge of (relational) databases, data modelling, reporting, data warehouses, metadata and ETL with Microsoft SQL Server, SSIS, SSAS, SSRS;
• Experienced in at least one of the following fields: setting up cloud-based data pipelines, deployment of machine learning models or designing a big data infrastructure in the cloud;
• Familiar with tools like: Python, Java, Spark, Kafka;
• Experience with working in Agile/Scrum teams;
• Fluent in the Dutch and English language.

Next to the generic company and cultural reasons to join Capgemini, our Global Insights & Data organization makes as one of the true leaders in next generation data solutions. Together with our global eco-system of technology partners, we design and implement state-of-the art solutions to drive value from a more and more data driven world, and help our clients mastering and exploring the exponential growing vast amount of data. What else can you expect?

• A permanent contract;
• 26 days of paid leave, plus the option to buy more;
• Pension contribution;
• Mobility allowance, which you can spend on a lease car or our NS business card;
• A laptop, SIM card and connectivity allowance for flexible working.