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For Companies At a Glance
- Tasks: Design and build reliable data pipelines for payment data using modern technologies.
- Company: Yuno, a leading payment infrastructure company with a dynamic team.
- Benefits: Remote work, competitive pay, home office bonus, stock options, and health plan.
- Other info: Opportunity to shape team practices and make a real impact.
- Why this job: Join a passionate team solving complex data challenges in a global market.
- Qualifications: 5+ years in data engineering, strong Python and SQL skills, experience with data pipelines.
The predicted salary is between 60000 - 80000 £ per year.
Who We Are
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.
About The Role
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 Contribution Will Be
- 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.
- 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 rely 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
Minimum Qualifications
- 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.
Preferred Qualifications
- Airflow for orchestration.
- Experience with Apache Hudi.
- Experience with financial, transactional, or payment data.
What We Offer at Yuno
- Competitive Compensation.
- Remote Work – You can work from everywhere!
- Home Office Bonus – 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.
Senior Data Engineer employer: Yuno Group
Contact Detail:
Yuno Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Senior Data Engineer
✨Tip Number 1
Network like a pro! Reach out to folks in the industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your data projects. It’s a great way to demonstrate your expertise and passion for data engineering.
✨Tip Number 3
Prepare for interviews by practising common data engineering questions and scenarios. We recommend doing mock interviews with friends or using online platforms to get comfortable.
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are genuinely interested in joining our team.
We think you need these skills to ace Senior Data Engineer
Some tips for your application 🫡
Tailor Your CV: Make sure your CV is tailored to the Senior Data Engineer role. Highlight your experience with data pipelines, Python, SQL, and any relevant tools like Flink or DBT. We want to see how your skills align with what we’re looking for!
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Share your passion for data engineering and how you’ve tackled complex problems in the past. Let us know why you’re excited about joining Yuno and how you can contribute to our mission.
Showcase Your Projects: If you’ve worked on interesting projects, don’t hold back! Include links to your GitHub or any relevant work that demonstrates your technical skills and problem-solving abilities. We love seeing real-world applications of your expertise.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on being part of our team at Yuno!
How to prepare for a job interview at Yuno Group
✨Know Your Tech Stack
Make sure you’re familiar with the technologies mentioned in the job description, like StarRocks, Flink, and DBT. Brush up on your Python and SQL skills, and be ready to discuss how you've used these tools in past projects.
✨Showcase Your Problem-Solving Skills
Prepare examples of complex data problems you've solved in previous roles. Yuno is looking for someone who can tackle challenges head-on, so be ready to explain your thought process and the impact of your solutions.
✨Understand Data Quality
Since data quality is non-negotiable for this role, come prepared to discuss how you've ensured data integrity in your past work. Share specific tools or methodologies you've used to maintain high standards.
✨Be Ready for Cross-Functional Collaboration
Yuno values teamwork across different departments. Think of examples where you've worked with product or finance teams, and be ready to discuss how you can contribute to a collaborative environment.