Data Engineer at Visa

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Stockholm Hybrid Full-time Mid Level

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Job Details

Status: Active
Category: Data Science & Analytics
Posted: Jun 23, 2026
Expires: Sep 21, 2026
Work style: Hybrid

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About the Role

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

The Data Engineer contributes to the development and operation of data pipelines and data warehousing solutions within the Open Banking AI and Data Platform domain. The role focuses on implementing well‑structured data models and reliable batch‑oriented data pipelines that support analytics, reporting, regulatory, and AI‑enabled use cases, in alignment with Visa engineering standards, security requirements, and regulatory obligations.

The role effectively translates defined data requirements into warehouse structures, data models, and pipeline implementations. The Data Engineer collaborates closely with peers, product partners, and platform teams to ensure data is accurate, well‑modelled, and production‑ready, while contributing to the ongoing improvement of data quality, performance, and operational reliability.

This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager.

Qualifications

Hands‑on experience implementing batch‑oriented data pipelines using SQL and modern data processing frameworks.
Practical experience working with data warehousing solutions, including implementing dimensional or analytical data models and supporting schema evolution.
Experience contributing to data models that support analytics, reporting, and downstream data consumption.
Familiarity with data lakes or lakehouse‑style architectures.
Experience using orchestration, scheduling, and monitoring tools to support reliable data pipelines.
Working knowledge of event‑driven or streaming platforms (e.g. Kafka), primarily in support of analytical or warehousing use cases.
Proficiency in one or more programming languages commonly used in data engineering (e.g. Python, Java).
Experience working within cloud environments (AWS or GCP).
Understanding of data quality checks, basic lineage concepts, and documentation practices.
Awareness of data security, privacy, and compliance considerations (e.g. GDPR),
Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent practical experience.

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.

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