Data Engineer II - Financial Systems, Fintech

About Us: At , data drives our decisions. Technology is at our core. And innovation is everywhere. But our company is more than datasets, lines of code or A/B tests. We’re the thrill of the first night in a new place. The excitement of the next morning. The friends you encounter. The journeys you take. The sights you see. And the memories you make.

Through our products, partners and people, we make it easier for everyone to experience the world.

As part of our Financial Systems team, you will be at the heart of ’s Fin Tech evolution, building the critical data foundations that power our regulated payments and e-money services. This is a unique opportunity to solve complex data challenges at the intersection of engineering, finance, and regulation, driving real business impact on a global scale

The Financial Systems team provides technology expertise to the Finance department and owns the data platform behind ’s financial processes, including SAP HANA, SAP S/4

HANA and the connected third-party systems. We want to change the way people work with SAP, by building a finance application and data platform that supports the simplification of business processes and empowers the finance community with better financial insights.

As a Data Engineer II in the Financial Systems area, you will build and maintain the pipelines, data models and integrations of our Enterprise Data Platform that make financial data reliable, traceable and easy to consume. Your work will support our regulated payments and e-money services, enabling accurate financial reporting, stronger operational visibility and more confident decision-making as the business expands globally.

You will have the opportunity to work on foundational problems such as data extraction from multiple source systems, multi-layered warehouse modeling across the SAP, AWS and Snowflake stack, data quality validation and monitoring, orchestration, performance tuning, and the governance and security controls required in a regulated financial environment.

As a Data Engineer II, you will be in charge of the development, performance, quality and scaling of the data pipelines and data models in your team’s domain, with a particular focus on data quality. You will work independently on well-scoped problems and will also contribute to technical decisions within the team.

• Developing, testing and maintaining scalable data pipelines, data models and integrations that improve the quality, traceability and accessibility of financial data across our core systems.
• Building and supporting the layers of our enterprise data warehouse - staging, core/integration and semantic/consumption - on SAP HANA, SAP Datasphere, AWS and Snowflake.
• End-to-end ownership of data quality in the datasets and pipelines you deliver, including validation logic, monitoring, automated failure detection and root cause analysis.
• Responsible for data loading, production monitoring and system performance, solving issues with data and data pipelines and prioritizing based on customer and finance process impact.
• Engaging with finance and product stakeholders to understand their needs and translating requirements into logical and technical data designs, surfacing technical trade-offs early.
• Applying the data governance, security and compliance controls required in a regulated payments and e-money environment, including roles and privileges, documentation and data contracts.
• Writing high-quality, reusable and reviewed code that meets our coding standards, and delivering changes through Git and automated CI/CD pipelines.
• Serving as a point of contact for technical and business stakeholders regarding data engineering issues, such as pipeline failures and data quality concerns, and supporting the training of key users.
• Building AI consumption layer for rich semantic data models

• You have 3–5 years of relevant professional experience as a Data Engineer, BI Engineer, Analytics Engineer or in a similar data-focused role, and hold a Bachelor’s or Master’s degree in Computer Science, Mathematics, Engineering or a…