Graduate Data Engineer

Visa; Województwo mazowieckie; Hybrid; PLN 134,000 - 164,000; Full time

Benefits offered by this job

Competitive benefits package

Bonus eligibility

Equity

Job summary

Visa is seeking a Data Engineering Graduate to help build scalable data foundations powering analytics, AI, and product development across Europe. You will focus on backend data pipelines, data quality, and automation using Python, SQL, Spark, and AI-assisted coding tools.

Collaboration with global teams and strong emphasis on code quality and documentation are core to the role. You will work in a hybrid setup, with at least three days in the office, and participate in designing AI agents,

Qualifications

• Graduating in 2027 with a technical degree and starting in October 2027.
• Strong programming foundations in Python and SQL.
• Interest in backend engineering and scalable data processing.
• Familiarity with big-data frameworks (Spark/Hadoop/Hive).
• Clear English communication, written and spoken.

Responsibilities

• Develop understanding of Visa’s data ecosystem across Data Science, Product, and Analytics.
• Build, test, and maintain ETL/ELT pipelines using Python, SQL, Spark.
• Use AI coding assistants throughout the development lifecycle.
• Design and maintain AI agents and AI-powered data workflows.
• Collaborate with global Data Engineering teams on productionizing assets.
• Contribute to documentation, code review, and CI/CD practices.
• Troubleshoot pipeline issues and optimize performance.

Skills

Python

SQL

Backend engineering

Big-data frameworks

English

Education

Bachelor’s or Master’s degree in CS/Engineering/Data Science

Tools

Spark

Hadoop

Airflow

Git

CI/CD

Unix/Linux

Job description

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.

Pay Transparency

The estimated salary range for a new hire into this position is zł109 550 - zł179 975 which may include potential sales incentive payments (if applicable). Salary may vary depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position may be eligible for bonus and equity. Visa has a comprehensive benefits package for which this position may be eligible that includes Medical, Dental, Vision, Pension, Life Insurance, Annual Leave, and Wellness Program.

Job Description

As a Data Engineering Graduate, you will play a key role in building the scalable data foundation that powers Visa's analytical, data science, and product development work across Europe. Unlike traditional Data Science roles focused on modelling or insight generation, Data Engineering focuses on developing data pipelines, transforming large datasets, automating processes, and enabling teams to operate efficiently and at scale.

You’ll work closely with Data Engineers and Data Scientists to build repeatable, reusable, and automated data assets that support client projects across Europe. Much of the work is backend-focused, requiring strong coding foundations and an engineering-first mindset. The team works in an AI-native way: engineers are expected to use AI coding as part of their everyday workflow, not as a novelty, to move faster on pipeline development, testing, and documentation while keeping full ownership of code quality and review. The role is increasingly a blend of Data and AI Engineering: beyond traditional pipelines, you will also help design and build AI agents and agentic workflows that automate parts of the data and analytics lifecycle itself. While the role is not typically client-facing, strong communication is required to work effectively in a global team environment.

What You'll Do

As part of your graduate role, you will:

• Develop a deep understanding of Visa's data ecosystem and how data is used across Data Science, Product, and Analytics teams.
• Build, test, and maintain ETL/ELT data pipelines using Python, SQL, Spark, and other big-data tools.
• Use AI coding assistants (e.g., Claude Code, GitHub Copilot) throughout the development lifecycle - drafting pipeline code, generating and reviewing tests, debugging, and writing documentation as part of an AI-native, engineering-first workflow.
• Design, build, and maintain AI agents and agentic workflows (e.g., automated data-quality checks, pipeline troubleshooting assistants, orchestration or documentation agents) that extend what traditional ETL/ELT pipelines can do on their own.
• Support the design and delivery of scalable, reusable data assets to be used repeatedly across client engagements.
• Automate and standardize backend data workflows, including DAG-based orchestration (e.g., Airflow), to improve the reliability and consistency of data used by downstream teams.
• Work with large datasets, performing transformations and ensuring data quality, integrity, and accuracy.
• Collaborate with global Data Engineering teams (North America & other regions) on productionizing and maintaining key data assets.
• Participate in code reviews, contribute to technical documentation, and follow engineering best practices including Git-based version control and CI/CD - including how AI-assisted contributions are reviewed and attributed.
• Troubleshoot data pipeline issues and assist with performance optimization.

The annual salary for a new hire in this position is 148 675 PLN. In addition, this position may be eligible for bonus, equity, and a competitive benefits package

Visa requires at least 3 days in office, expectations of these days will be confirmed by your Hiring Manager.

Qualifications

Basic Qualifications

• Graduating in 2027 with a Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems, Mathematics, Engineering, or another technical field, looking to start working in October 2027.
• Strong programming foundations in Python and SQL.
• Interest in backend engineering, data systems, and scalable data processing.
• Familiarity with at least one big-data or distributed computing framework (e.g., Spark, Hadoop, Hive).
• Strong analytical thinking and problem-solving skills.
• Ability to communicate clearly in English, both written and verbal.

Preferred Qualifications

• Data pipeline development (ETL/ELT).
• Git or other version control systems.
• Workflow orchestration tools, particularly Airflow (used extensively for pipeline orchestration), as well as Luigi or Prefect.
• Using AI coding assistants (e.g., Claude Code, GitHub Copilot, Cursor) to accelerate development, testing, and debugging — comfort with prompt-based code generation and reviewing AI-suggested code critically.
• Building or experimenting with AI agents or agentic workflows (e.g., LLM-based automation, tool-calling agents, multi-agent orchestration, MCP servers) — academic projects, hackathons, or personal projects all count.
• Cloud platforms (AWS, GCP, Azure) and/or Databricks — helpful but not required; most of our current pipeline work runs on on-prem big-data infrastructure (Spark, Hive, Trino), so cloud/Databricks exposure is a bonus, not a prerequisite.
• Unix/Linux command line.
• Interest in scaling data engineering processes and learning software engineering best practices, including how AI tooling fits into a disciplined engineering workflow.
• Ability to collaborate effectively with teammates across geographies.

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.

Visa welcome and encourages application from persons with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process.