Azure Data Engineer

• Hours per week: 32-40
• Location: Utrecht / from home / client location
• Experience level: mid-to senior professional 

Okay: 2 paragraphs.... then again, there's a lot to do and discover. As an Azure Data Engineer you play an important role in developing cloud-based architecture to analyze and process data according to the needs of our customers. You will also help set up data platform technologies that manage and secure the flow of structured and unstructured data from multiple sources, as well as build jobs to move data from different sources to Azure Data Lake Storage, including across different layers in Azure. Since you will be visiting different customers, your work may differ slightly per project, but you will mainly be concerned with developing and maintaining an optimal data pipeline and architecture.

Of course, you retrieve, transform, validate and clean data to meet functional and non-functional business requirements. Developing reusable, maintainable, scalable integrations/services using an advanced hybrid Cloud infrastructure is not new to you. You deploy models into production and maintain a continuous integration pipeline, including monitoring and optimizing system performance and costs. As you know, Azure is a rapidly changing world, so you learn and stay up to date with the latest tools and services in the Azure ecosystem. We support this with virtually unlimited training, including certifications.

Our global Insights & Data organization embodies leadership in next-generation data solutions. In cooperation with our global ecosystem of solution partners we design, develop and implement state-of-the-art solutions to generate value in a increasingly data-driven world, thus aiding our clients to manage and explore an exponentially growing amount of data.  

Within Capgemini, we foster an open and supportive work environment, where colleagues will always be willing to lend a helping hand. You will work for large and complex, often international organizations, on a large variety of projects. Next to challenging work you will be offered highly informative knowledge sessions, full support in your professional and personal development and lots of events, both professional and fun. 

• All-you-can-train without obligations from your side; 
• A big basket of secondary benefits and flexible choices and 26 holidays; 
• Contribution-free pension scheme, fully covered by Capgemini; 
• Work from where you want on a device of your own choice, with connectivity costs remuneration; 
• A modern laptop and a simcard, also for personal use; 
• Travel as you want with a lease car or public transport business card, and/or payout of your generous monthly travel remuneration budget; 
• And of course, a competitive salary. We will gladly discuss specifics with you.  

• You have a Bachelor's or Master's degree (preferably in Computer Science, Computer Science or similar);
• You are certified in DP 203;
• You have at least 1.5 years of work experience as a Data Engineer, preferably with Databricks, Data Lake Storage, Data Factory, Synapse Analytics and Azure SQL Server;
• You have experience in at least one of the following areas: setting up cloud-based data pipelines, deploying machine learning models or designing a big data infrastructure in the Cloud;
• You have experience and knowledge of (relational) databases, data modeling, metadata and ETL;
• You are familiar with tools such as: Python, Java, Spark or Kafka;
• You have experience working in Agile/Scrum teams;
• You are fluent in the Dutch and English language.