Design and build reliable, performant data pipelines for large payment datasets. Own end-to-end data flows, drive data quality, implement transformations (dbt), operate on StarRocks and Flink/Spark in cloud (AWS/GCP), collaborate cross-functionally, establish engineering standards, mentor engineers, and shape CI/CD and incident practices.
Remote, Europe, Full Time, Individual Contributor, +5 years of experience
Who We Are
At Yuno, we are building the payment infrastructure that enables all companies to participate in the global market.
Founded by a team of seasoned experts in the payments and IT industries, Yuno provides a high-performance payment orchestrator.
Our technology offers companies access to leading payment capabilities, allowing them to engage customers confidently and maintain global business operations with seamless payment integrations worldwide.
Shape your future with Yuno!
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.
🟣 Your challenge at Yuno
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.
🟣 Skills you need
Must-have
• 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.
Strong-to-have
• Airflow for orchestration
• Experience with Apache Hudi
• Experience with financial, transactional, or payment data
The kind of engineer we're looking for
You care about whether the data is right, whether the system holds up at 2am, and whether the engineer next to you is getting better. You're comfortable sitting in a room with a non-technical stakeholder, understanding what they actually need, and turning it into something real. You've probably started leading things informally and found you're good at it.
Verbal and written fluency in English is required — we're a distributed team and written communication is important.
🟣 What we offer at Yuno
• Competitive Compensation
• Remote work - You can work from everywhere!
• Home Office Bonus - We offer a one time allowance to help you create your ideal home office.
• Work equipment
• Stock options
• Health Plan wherever you are
• Flexible Days off
• Language, Professional and Personal growth courses
Top Skills
Airflow
Apache Hudi
AWS
Data Quality Tooling
Dbt
Flink
GCP
Lakehouse
Medallion Architecture
Python
Spark
SQL
Starrocks
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