AI Data Engineer (Data Engineering, Cloud Platform, Python)
Summary
Build and maintain scalable data pipelines and AI-ready cloud infrastructure using Python, PySpark, and cloud platforms to support analytics and machine learning workflows.
Your role
As an AI Data Engineer, you will develop and maintain scalable data pipelines and AI-ready cloud infrastructure to support analytics, machine learning, and business intelligence solutions. You will work closely with engineering and AI teams to ensure reliable, secure, and high-quality data processing across multiple systems and platforms.
Your project
You will contribute to enterprise data transformation initiatives focused on modernizing data architecture, building cloud-native platforms, and supporting AI/ML applications. The project includes integration of multiple data sources, automation of workflows, and optimization of data processing systems.
Your client
Our client is an innovative organization focused on leveraging data and AI technologies to improve business operations and customer experiences.
Your tasks
- Develop and maintain ETL/ELT pipelines for enterprise data platforms
- Process and transform large-scale structured and unstructured datasets
- Support AI and machine learning data preparation workflows
- Integrate data from APIs, databases, and cloud services
- Monitor and improve data quality, reliability, and pipeline performance
- Collaborate with Data Scientists, Analysts, and Engineering teams
- Support deployment and automation of cloud-based data solutions
- Troubleshoot and resolve production data issues
Your profile
- 3+ years of experience in Data Engineering or related roles
- Strong programming skills in Python and SQL
- Experience with PySpark, Apache Spark, Kafka, or Hadoop
- Familiarity with Databricks, Snowflake, BigQuery, or Redshift
- Knowledge of AWS, Azure, or Google Cloud Platform
- Experience with Airflow, dbt, Docker, and Kubernetes
- Understanding of CI/CD pipelines and version control tools
- Familiarity with Vector Databases and LLM Frameworks is a plus
- Strong analytical and communication skills
- Ability to work in a fast-paced and collaborative environment
What You'll Love About Working Here
- Well-being culture with medical care, insurance, and wellness resources
- Access to over 70 training tracks with certification opportunities and educational platforms
- Continuous feedback and ongoing performance discussions
- Hybrid working model with support for home office setup
Equal Opportunity & Diversity
Capgemini is committed to diversity and inclusion, ensuring fairness in all employment practices. We evaluate individuals based on qualifications and performance, not personal characteristics, striving to create a workplace where everyone can succeed and feel valued.