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Azure Data Engineer

You are the specialist when it comes to building and managing secure Cloud Services. You build a data foundation on Azure for consistent information across the organization. Are you able to help our clients understand their data to improve their performance by using cutting-edge cloud and data technologies?

Your challenge

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.

Your qualifications

  • 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.

What we offer you

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. 

Heb je nog vragen over deze vacature?

Neem contact op met Joyce Schoot


Online solliciteren
Online vul je de belangrijkste gegevens in, in ons sollicitatieformulier en binnen een week ontvang je van ons een reactie.
Telefonische intake
We nemen telefonisch contact met je op om alvast kennis te maken en je een aantal vragen te stellen
Online assessment
Online maak je ons assessment en binnen enkele werkdagen ontvang je van ons de uitslag.
Interview met een recruiter en/of business
Tijdens dit gesprek willen wij jou leren kennen, maar heb jij natuurlijk ook de ruimte om je vragen te stellen en ons te leren kennen.
Interview met de business
De desbetreffende afdeling waar je komt te werken, spreekt ook graag met jou om samen te bepalen of er een match is.
Je bent alle rondes succesvol doorgekomen! We doen je een aanbod.
Aan de slag
Welkom op je eerste werkdag bij Capgemini!

Solliciteer op deze vacature

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