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Staff Engineer — Data Platform

2 hours, 56 minutes ago
France, Spain, Sweden, Europe, Belgium, Italy, Portugal, Germany
Full-time
Lead
Data Engineer
Software Development
Apache Airflow Apache Spark AWS Azure dbt GCP Kafka Python SQL
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Yuno

Yuno is a payment orchestration and financial infrastructure platform for global businesses. It centralizes payment methods, PSPs, fraud tools, routing, reconciliation, checkout, payouts, and other payment workflows through a single API.

Payment Processing Software
51-200
Founded 2022
View All Jobs 23

Description

  • Define the architecture of the data platform and deliver projects and initiatives end to end.
  • Act as a technical reference point for the Data team and set standards for quality, testing, observability, data modeling, and documentation.
  • Lead the design and implementation of scalable, low-latency data pipelines for high-volume real-time payment transactions.
  • Design and build performant, reliable, and correct data pipelines for large volumes of payment data.
  • Design scalable data models for fraud detection, revenue analytics, payment success rate optimization, and regulatory reporting.
  • Own platform reliability, including SLAs, data quality, alerting, and incident response for data services.
  • Ensure secure data handling practices aligned with PCI-DSS, GDPR, and other relevant compliance frameworks.
  • Partner with Product, AI, and Finance teams to translate business needs into scalable data solutions.
  • Mentor senior and mid-level engineers through code reviews, design reviews, and knowledge sharing.
  • Collaborate with data consumers such as analysts, data scientists, and product managers to ensure data products are reliable and well documented.

Requirements

  • 8+ years of experience in data engineering, software engineering, or a related field.
  • At least 2 years of experience operating at a staff or principal level.
  • Deep expertise in designing and building large-scale data platforms using streaming, batch, or hybrid architectures.
  • Hands-on experience with Spark, Flink, Kafka, StarRocks, or equivalent tools.
  • Strong Python and SQL skills.
  • Solid understanding of data modeling techniques such as dimensional modeling, Data Vault, or lakehouse patterns.
  • Experience with cloud data infrastructure on AWS, GCP, or Azure, including managed services for storage, compute, and orchestration.
  • Strong grasp of data quality, observability, and governance principles.
  • Proven ability to set standards and lead technical initiatives across multiple teams without direct authority.
  • Professional proficiency in English, written and spoken.
  • Experience in the payments or fintech industry is preferred.
  • Familiarity with dbt, Great Expectations, or similar tools is preferred.
  • Experience with event-driven services and data mesh approaches is preferred.
  • Exposure to ML platform design or feature store infrastructure is preferred.

Benefits

  • Competitive compensation.
  • Remote work from anywhere.
  • One-time home office bonus to help set up an ideal workspace.
  • Work equipment provided.
  • Stock options.
  • Health plan available wherever you are.
  • Flexible days off.
  • Language, professional, and personal growth courses.

Interested in this position?

Apply directly on the company website

Apply Now

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