Cloud Data Architect (with Dutch)

About the position

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you'd like, where you'll be supported and inspired by a collaborative community of colleagues around the world, and where you'll be able to reimagine what's possible. Join us and help the world's leading organizations unlock the value of technology and build a more sustainable, more inclusive world. Insights & Data practice delivers cutting-edge data centric solutions. Most of our projects are Cloud & Big Data engineering. We develop solutions to process large, also unstructured, datasets, with dedicated Cloud Data services on AWS, Azure or GCP. We are responsible for full SDLC of the solution: apart from using data processing tools (eg, ETL), we code a lot in Python, Scala or Java and use DevOps tools and best practices. The data is either exposed to downstream systems via API, outbound interfaces or visualized on reports and dashboards. Within our AI CoE we deliver Data Science and Machine Learning projects with focus on NLP, Anomaly Detection and Computer Vision.

Responsibilities

• Creating architecture for systems processing large and unstructured datasets (Data Lake Architecture, Streaming Architecture)
• Designing modern DWH / Big Data solutions in the cloud and in the Continuous Delivery / Continuous Integration environment
• Data model design, data flow documentation
• Supporting the Team as a Technical Leader, ensuring system compliance with standards and best practices in software development

Requirements

• 3 years of experience as an Architect and/or Technical Leader in Cloud or Big Data projects in the field of data processing and visualization (in different phases of SDLC)
• Practical knowledge of one of the following clouds: AWS, Azure, GCP in the area of Storage, Compute (+Serverless), Networking and Devops supported by work on commercial projects
• Familiarity with at least few of the following technologies: Cloud Dataflow, BigQuery, Cloud Dataproc, Cloud KMS, Pub/Sub, Google Kubernetes Engine, Apache Beam, Kafka, Spark, Snowflake, Data Lake Gen2, Event Hub, Data Factory, DataBricks, Azure DWH, Azure Function, Power BI, Terraform, Redshift, Glue, Athena, Kinesis, Lambda
• At least basic command of one of the programming languages: Python/Scala/Java/bash
• You are organized, independent, willing to share the knowledge
• Very good knowledge of Dutch (B2+) and good knowledge of English (B2) or Polish (B2) to facilitate fluent communication between the client and the development team

Benefits

• Permanent employment contract from the first day
• Hybrid, flexible working model
• Equipment package for home office
• Private medical care with Medicover
• Life insurance
• Capgemini Helpline
• NAIS benefit platform
• Access to 70+ training tracks with certification opportunities
• Platform with free access to Pluralsight, TED Talks, Coursera, Udemy Business and SAP Learning HUB
• Community Hub that will allow you to choose from over 20 professional communities