Azure Data Engineer

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 is a dynamic team of over 400 professionals delivering cutting-edge data solutions. We specialize in Cloud & Big Data engineering, building scalable systems for complex datasets across AWS, Azure, and GCP. Our expertise spans the full Software Development Life Cycle (SDLC), utilizing modern data processing tools, advanced programming techniques, and DevOps best practices to create impactful solutions. Come on Board!

Responsibilities

• Design and implement Azure-based data solutions for large-scale and unstructured datasets.
• Develop and optimize data pipelines using Azure Data Factory, Databricks, or Snowflake.
• Collaborate with solution architects to define and implement best practices in data engineering.
• Ensure data quality, scalability, and security across all Azure-based solutions.

Requirements

• At least 3 years of experience in data engineering, including 1+ year working with Azure.
• Strong Python for data processing and automation.
• Hands-on experience with one of the following: Databricks, Snowflake, or Microsoft Fabric.
• Strong communication skills and very good English language skills.

Nice-to-haves

• Strong SQL skills and experience with database optimization.
• Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code (IaC) tools (Terraform, Bicep).
• Familiarity with key Azure services: Data Lake, Event Hub, Data Factory, Synapse Analytics, Azure Functions.
• Exposure to containerization (Docker, Kubernetes) and cloud security best practices.
• Experience in real-time data processing and streaming technologies like Kafka or Spark Streaming.
• Hands-on experience with PySpark.
• Certifications such as DP-900, DP-203, AZ-204, or AZ-400.

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.