Overview

Get The Future You Want! Capgemini empowers you to shape your career, be supported by a collaborative community, and reimagine what’s possible as you help world-leading organizations unlock the value of technology and build a more sustainable, inclusive world.

Your Role

We are seeking a skilled and motivated Data Engineer with proven experience in the banking and financial services domain. The ideal candidate will have strong expertise in Python, PySpark, and SQL, and a working knowledge of AWS cloud services. You will be responsible for designing, building, and maintaining scalable data pipelines and solutions that support critical business operations and analytics.

• Design, develop, and optimize data pipelines for structured and unstructured data.
• Collaborate with data scientists, analysts, and business stakeholders to understand data requirements.
• Implement data quality checks, validation, and monitoring processes.
• Work with large-scale financial datasets to support reporting, analytics, and regulatory compliance.
• Develop and maintain ETL workflows using Python, PySpark, and SQL.
• Leverage AWS services (e.g., S3, Glue, Lambda, Redshift) to build cloud-native data solutions.
• Ensure data security and compliance with financial regulations and standards.
• Troubleshoot and resolve data-related issues in production environments.

Your Profile

• Bachelor's or Master’s degree in Computer Science, Engineering, or related field.
• 5+ years of experience in data engineering roles, preferably in banking or financial services.
• Strong programming skills in Python and PySpark.
• Advanced proficiency in SQL for data manipulation and querying.
• Experience with AWS cloud services is a strong plus.
• Familiarity with data warehousing concepts and tools.
• Understanding of financial data structures, compliance, and reporting requirements.
• Excellent problem-solving and communication skills.
• Experience with tools like Apache Airflow, Kafka, or Snowflake.
• Knowledge of data governance and metadata management.
• Exposure to machine learning pipelines or financial modeling is a bonus.

About Capgemini

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 350,000 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, cloud, and data, combined with its deep industry expertise and partner ecosystem. The Group reported 2023 global revenues of €22.5 billion.

Details

• Seniority level: Mid-Senior level
• Employment type: Full-time
• Job function: Information Technology
• Industries: IT Services and IT Consulting

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