15 days ago
Vila Nova de Gaia, PortugalMid Level
Responsibilities
- Implement data models and layered lakehouse structures and make curated data available to BI tools such as Power BI.
- Establish data processes and infrastructure from scratch where needed.
- Build, run, and continuously improve production-grade cloud data pipelines.
- Design and provision scalable, maintainable cloud data infrastructure.
- Develop reliable data products with data quality checks, monitoring, and alerting.
Requirements
- At least four years of experience in data engineering building and running production data pipelines in the cloud.
- Strong SQL and Python skills.
- Hands-on experience with cloud data services, ideally Azure Data Factory, Azure Databricks, and Microsoft Fabric.
- Experience with pipeline orchestration and CI/CD tools such as Airflow, Azure DevOps, or GitHub Actions.
- Experience provisioning cloud data infrastructure as code using tools such as Terraform or Bicep.
- Experience with dbt is a strong plus.
- Experience using AI-assisted development tools to improve productivity and quality in data engineering is a plus.
Benefits
- Flexible work environment under the company’s hybrid work policy, including flexibility to work from the office or remotely.
- Career Acceleration Programs supporting growth, reskilling, and new skills development.
- Health and life insurance.
- Referral program with bonuses and other partnership-related fringe benefits.
- Role based in the new Tech Hub in Porto.
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.