Senior Data Engineer

Europe · Remote · Full Time · Individual Contributor · +5 Years of Experience

At Yuno, we are building the payment infrastructure that allows all companies to participate in the global market. Founded by seasoned experts from the payments and tech industries, our technology provides access to leading payment capabilities, enabling companies to engage customers confidently and maintain global operations through seamless integrations.

We empower high-performing teams at brands like InDrive, McDonald’s, Rappi, and Viva Aerobus to integrate over 1,000 payment methods via a single API. By leveraging advanced AI and the latest technologies, we orchestrate smart routing and fraud prevention across 80+ countries.

We are orchestrating a high-performing data enablement team that works with pace and enthusiasm!

Yuno moves money across borders for companies that can't afford for payments to fail. Our data platform is what makes that visible — to our product teams, our clients, and ourselves.

If you are a Senior Data Engineer with passion and drive who enjoys solving complex data problems and leading initiatives, then we are looking for you.

You will play a pivotal role within the Data team that powers Yuno and its payment platform, while helping co-design and implement an architecture that scales with the product and the company.

The stack is modern: StarRocks as our primary analytical layer, Flink for processing, DBT for transformation, Airflow for orchestration and various tooling for surfacing insights.

The hard work of making it genuinely reliable is still in front of us — and that's exactly why this role exists.

You'll be working on things that matter and are technically interesting:

• Design and build data pipelines for large volumes of payment data that are performant, reliable, and correct — not just fast.
• Own end-to-end data flows: from ingestion and transformation through to the outputs that Finance, Product, and clients depend on.
• Drive data quality across your domain with tooling.
• Work cross-functionally with Product, Finance and enable other Engineering teams via a 'consulting' style model.
• Contribute to how the team works — code review culture, CI/CD standards, ADRs, how we handle incidents — we're building these practices now and senior engineers shape them.
• Help onboard and level up engineers around you; there's real opportunity to make an impact here.

• Proven proactivity, technical acumen and the ability to lead initiatives and deliver projects.
• Experience in defining and evolving data engineering standards, architectural guidelines and governance, ideally within a regulated environment.
• Strong Python and SQL skills.
• Hands-on experience with Spark or Flink in production.
• DBT for data transformation.
• StarRocks or a comparable analytical database.
• Experience building and operating data pipelines in AWS and/or GCP.
• Comfortable with data quality tooling and the mindset that correctness is non-negotiable.
• Familiarity with medallion / lakehouse architecture patterns.
• Verbal and written fluency in English is required — we're a distributed team and written communication is important.

• Airflow for orchestration.
• Experience with Apache Hudi.
• Experience with financial, transactional, or payment data.