About Us Visa is a world leader in payments technology, facilitating transactions between consumers, merchants, financial institutions and government entities across more than 200 countries and territories, dedicated to uplifting everyone, everywhere by being the best way to pay and be paid.
At Visa, you'll have the opportunity to create impact at scale — tackling meaningful challenges, growing your skills and seeing your contributions impact lives around the world.
Join Visa and do work that matters – to you, to your community, and to the world. Progress starts with you.
Job Description
Visa is accelerating the delivery of data analytics and AI powered products to support client growth and strategic decision-making across regions. We are seeking a Data Engineer to execute on the design, delivery and evolution of scalable data engineering capabilities that underpin Data Science, AI and client facing products for all European markets.
The role requires understanding and translating business needs into data models, creating robust data pipelines, and developing and maintaining databases. The candidate should be able to define and manage data load procedures, implement data strategies, and ensure robust operational data management systems. Collaborating with stakeholders across the organization to understand their data needs and deliver solutions is also a key part of this role. The ideal candidate will be proficient in big data tools like Hadoop, Hive, and Spark, programming languages such as Python and SQL and have strong analytical skills related to working with structured and unstructured datasets.
Primary Responsibilities:
- Requirement Analysis: Understand and translate business needs into data models supporting long-term solutions
- Build, manage and deploy large scale ETL processes to generate data assets for the region
- Build modular and reusable code considering the configurability and scalability while adhering to low-level design
- Perform thorough unit testing of development tasks and document the test results using standard defined templates
- Build, schedule, and manage DAGs in Apache Airflow efficiently
- Monitor data processing tasks using Airflow
- Ensure quality control of data assets, through monitoring and reconciling data loaded across different stages in the data pipeline
- Utilize strong data analytics skills to identify, discuss, and promptly fix data issues
- Apply debugging skills to quickly rectify execution errors, ensuring minimal delays and impact on business operations
- Collaborate and communicate with stakeholders for requirement understanding and clarifications
- Maintain the highest level of quality and detail-oriented approach in daily tasks
This is a hybrid position. This requires 3 days per week attendance in the London office
Qualifications
Basic Qualifications:
- 2-4 years development experience in building data pipelines and writing ETL code using Hive, PySpark, SQL and Unix
- Experience in writing and optimizing SQL queries in a big data environment
- Experience working in Linux/Unix environment and exposure to command line utilities
- Experience creating/supporting production software/systems and a proven track record of identifying and resolving performance bottlenecks for production systems
- Exposure to code version control systems (e.g. git, GitHub)
- Experience working with cloud services (e.g. AWS, GCP, Azure)
- Familiarity with common agentic coding tools
- Hands-on experience building GenAI-based applications or workloads
- Ability to understand a diverse set of business domains and requirements
- Good understanding of agile working practices and related program management skills
- Experience with workflow orchestration tools (e.g., Apache Airflow) and designing reliable data workflows
- Experience applying data quality frameworks and practices (e.g., automated checks, reconciliation and data observability)
- Strong communication and presentation skills with ability to interact with different cross-functional team members at varying levels
Preferred Qualifications:
- Advanced degree in technical field (e.g. Computer Science, statistics, etc.)
- Experience with visualization tools like Tableau and Power BI
- Exposure to Financial Services or the Payments Industry
- Hands-on experience with CI/CD and automation pipelines (e.g., GitHub Actions, Jenkins, Azure DevOps) including testing and release practices
Visa is an EEO Employer
Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.