Data Architect

We believe that people can improve the world through the power of technology. We do this by creating a nurturing environment that promotes growth and creative thinking.

We enable our engineers and customers with innovative solutions to address some of the most challenging problems out there.

We deliver added value to our customers by building reusable accelerators, developing innovative blueprints, and supporting their technology strategy.

What will you be doing?

• You have a passion for innovation and know-how to use your engineering skills to give our clients a solid lead in the digital world. You will work in multidisciplinary teams on innovative solutions.
• You advise our clients on technology during a sprint zero and implement the solution with your engineering team.
• You are going to ingest and process the raw data of several large international corporations. Next to that you will lead teams and create reusable data solutions.
• You will be exposed to large volumes of data and related processing workloads. And of course a lot of customer contact in which you advise them on how to maximize the value of their data.
• You will contribute to Capgemini's vision and help us build our data innovation portfolio;
• You will be part of a culture with a high bar of engineering and emotional intelligence standards where development paths are self-determined within a mentor-led environment to support and guide these growth opportunities.

Job requirements

How do you qualify?

Don't worry about the long list. If you think you qualify and you don't match the exact qualifications, just apply! We can always have a talk to see if there is a good match. When you have your talk with us, tell us about your:

• Work experience in IT and Data Engineering;
• Experience with relational SQL and NoSQL databases;
• Foundations in Data Management, Processing and Data Modelling techniques;
• Experience with cloud-based data services;
• Knowledge of Data Management Principles and Frameworks;
• Knowledge of Metadata concepts and Metadata-driven data applications;
• Knowledge of different Data Modelling Techniques (e.g. Relational);
• Experience in Distributed Data Computing and Big Data ecosystems(Hadoop, Teradata);
• Understanding of Data streaming and API solutions;
• Exposure to data quality frameworks and error management;
• Experience with multiple Data ingestion and Data integration tools and frameworks(Basic) Knowledge of data consumption techniques (Data Wrangling, SelfService BI, Managed BI, Advanced Analytics);
• Software engineering and programming skill sets which may include –Python, Scala, Java, C# (At least one);
• Knowledge of the Spark framework;
• Understanding of core cloud concepts - Data storage, Compute, Data connections, APIs, and Security on cloud;
• Experience in designing, building, testing, and maintaining cloud applications and related services;

Do you have these extras? Then we like you even more!

• Experience in Azure Data Services (ADF, SQL DWH, Data Bricks);
• Experience with CI/CD and DevOps;
• Experience with Google Cloud Platform (BigQuery);

Our offer

Of course, you will get a competitive salary with other interesting benefits. But more importantly, you will work at a fantastic and pleasant place where you can do more than just engineering. You will be learning, developing yourself, organizing events and speaking at conferences.

Are you ready to be a part of the team and do you think you are the next Data Engineer we are looking for? Do not hesitate to apply.