8 days ago
Poznań, PolandMid Level
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 data engineering best practices.
- Ensure data quality, scalability, and security across Azure-based solutions.
- Use Python for data processing and automation.
Requirements
- Strong experience in data engineering, including Azure experience.
- Strong Python skills for data processing and automation.
- Hands-on experience with Databricks, Snowflake, or Microsoft Fabric.
- Strong SQL skills and database optimization experience are preferred.
- Knowledge of DevOps practices, CI/CD pipelines, and Infrastructure as Code tools such as Terraform and Bicep is preferred.
- Familiarity with Azure Data Lake, Event Hub, Data Factory, Synapse Analytics, and Azure Functions is preferred.
- Exposure to Docker, Kubernetes, cloud security best practices, real-time data processing, Kafka, Spark Streaming, and PySpark is preferred.
- Certifications such as DP-900, DP-203, AZ-204, or AZ-400 are preferred.
- Strong communication skills and very good English language skills.
Benefits
- Hybrid working model after onboarding, with office and work-from-home options.
- Home-office package including a laptop, monitor, and chair.
- Medical care with Medicover, private life insurance, and a Multisport card.
- Capgemini Helpline therapeutic support.
- Access to over 70 training tracks and certification opportunities.
- Access to Education First, Pluralsight, TED Talks, Coursera, and Udemy Business learning materials.
- Continuous feedback and performance discussions supported by the GetSuccess performance management tool.
Tech Stack
Categories
Data Engineering
About Capgemini
Capgemini is a global IT services and consulting firm that delivers strategy, cloud, AI, software engineering, and managed services to large enterprises and public-sector clients. Founded in 1967 and headquartered in Paris, it is publicly traded on Euronext Paris and operates in 50+ countries. The group expanded its engineering capabilities by acquiring Altran in 2020, now operating as Capgemini Engineering.