Overview
Python Data Engineer – London
Reference Code: 313568-en_GB
Contract Type: Permanent
Professional Communities: Data & AI
Get The Future You Want!
Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more 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.
Get The Future You Want | www.capgemini.com
