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Data Engineer
Data Engineer – European Markets (Hybrid Role, London-Based)
About Visa
Visa is a world leader in payments technology, powering transactions across consumers, merchants, financial institutions, and government entities in over 200 countries and territories. Our mission is to uplift everyone, everywhere by enabling seamless transactions—providing the best way to pay and be paid.
At Visa, your work will create global impact at scale: tackling complex challenges, growing your expertise, and making meaningful contributions to communities worldwide. Progress starts with you.
Job Description
Visa is accelerating the delivery of data analytics and AI-powered products to drive client growth and strategic decision-making across European markets. We’re seeking a Data Engineer to design, develop, and evolve scalable data engineering capabilities that support Data Science, AI products, and client-facing solutions for all European operations.
This role requires:
- Translating business needs into robust data models
- Building and maintaining resilient data pipelines
- Optimizing large-scale ETL processes for structured and unstructured datasets
- Collaborating cross-functionally to align data solutions with client objectives
- Proven expertise in big data tools (Hadoop, Hive, Spark), Python, SQL, and strong analytical skills
Primary Responsibilities
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Requirement Analysis:
- Translate complex business needs into scalable, long-term data models
- Define and implement data strategies to support regional and operational goals
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Data Pipeline Development:
- Build, manage, and deploy large-scale ETL processes to generate high-quality data assets
- Develop modular and reusable code, prioritizing configurability and scalability
- Design efficient workflows using Apache Airflow, including DAG management and scheduling
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Data Quality & Performance:
- Ensure end-to-end data quality control through monitoring and reconciliation across pipeline stages
- Implement automated data checks and reconciliation frameworks
- Utilize analytical skills to identify, discuss, and resolve data issues swiftly
- Apply debugging techniques to minimize disruption to business operations
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Collaboration & Ensure:
- Partner with cross-functional stakeholders to clarify requirements
- Maintain high standards of quality and precision in all daily tasks
This role operates as a hybrid position, requiring 3 days/week in-office attendance at our London office.
Qualifications
Basic Requirements
- 2-4 years of experience in:
- Building data pipelines (ETL workflows) using Hive, PySpark, SQL, and Unix
- Optimizing SQL queries in big data environments
- Working in Linux/Unix environments with command-line tools
- Experience with production software/systems, including bottleneck identification and resolution
- Familiarity with code version control (e.g., Git, GitHub)
- Hands-on experience with cloud services (AWS, GCP, Azure)
- Exposure to agentic coding tools and basic GenAI-based application workloads
- Ability to translate diverse business domains into technical solutions
- Understands agile methodologies and program management
- Experience with workflow orchestration tools (e.g., Apache Airflow) and designing reliable data workflows
- Knowledge of data quality frameworks and data observability practices (e.g., automated checks, reconciliation)
- Demonstrates strong communication and presentation skills to engage cross-functional teams
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Preferred Qualifications
- Advanced degree in Computer Science, Statistics, or related technical field
- Experience with visualization tools (Tableau, Power BI)
- Background in Financial Services or Payments Industry
- Hands-on experience with CI/CD pipelines (GitHub Actions, Jenkins, Azure DevOps) and release automation
Visa is an Equal Opportunity Employer. We consider candidates without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, or veteran status. Visa adheres to EEOC guidelines and local laws for candidates with criminal records.
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