Data Engineer Full Time

You will be accountable for:

• Designing, developing, and maintaining robust ETL/ELT pipelines for data ingestion and transformation.
• Optimizing data storage and retrieval for performance and scalability.
• Ensuring data quality, integrity, and security across systems.
• Collaborating with data scientists, analysts, and IT teams to support data needs.
• Implementing and managing data architecture and infrastructure on cloud or on-prem platforms.
• Monitoring and troubleshooting data pipeline issues and system performance.
• Maintaining documentation of data flows, schemas, and system configurations.
• Supporting real-time data processing and integration with IoT and manufacturing systems.

Your Role
We are looking for a skilled and detail-oriented Data Engineer to design, build, and maintain scalable data pipelines and infrastructure. The ideal candidate will ensure the efficient flow of data across systems to support analytics and business intelligence in manufacturing operations.

You will be accountable for:

• Designing, developing, and maintaining robust ETL/ELT pipelines for data ingestion and transformation.
• Optimizing data storage and retrieval for performance and scalability.
• Ensuring data quality, integrity, and security across systems.
• Collaborating with data scientists, analysts, and IT teams to support data needs.
• Implementing and managing data architecture and infrastructure on cloud or on-prem platforms.
• Monitoring and troubleshooting data pipeline issues and system performance.
• Maintaining documentation of data flows, schemas, and system configurations.
• Supporting real-time data processing and integration with IoT and manufacturing systems.

Your Profile

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 2–5 years of experience in data engineering or software development, preferably in manufacturing.
• Proficiency in SQL, Python, and data pipeline tools (e.g., Apache Airflow, Talend).
• Experience with cloud data platforms (e.g., Azure Data Factory, AWS Glue, GCP Dataflow).
• Knowledge of data warehousing solutions (e.g., Snowflake, Redshift, BigQuery).
• Familiarity with big data technologies (e.g., Hadoop, Spark) and real-time streaming (e.g., Kafka).
• Strong understanding of data modeling, database design, and system integration.
• Excellent collaboration and communication skills.

What You’ll Love About Working Here

• Flexible Work Arrangements—Work remotely or adjust work hours for a balanced lifestyle.
• Career Growth Opportunities—Access diverse roles and career development programs.
• Training & Certifications—Equip yourself with valuable certifications in emerging technologies.

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.