Senior Data Engineer

Job not on LinkedIn

🕒 February 26

🇬🇧 United Kingdom – Remote

⏰ Full Time

🟠 Senior

🚰 Data Engineer

👻 Ghost score 42%

What it means: how likely this posting is sitting open without active hiring.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

Apply Now

Find Similar Remote Jobs

Set Up Email Alert For New Jobs

📊 Check your resume score for this job

Improve your chances of getting an interview by checking your resume score before you apply.

Upload Resume

Yuno

WebsiteLinkedInAll Job Openings

11 - 50 employees

💳 Fintech

🏢 Enterprise

☁️ SaaS

Fintech • Enterprise • SaaS

Yuno is a company that provides payment orchestration and infrastructure solutions on a global scale. Their technology empowers businesses to integrate over 300 payment methods, boosting acceptance rates and enabling seamless scaling of payment operations across multiple regions. Yuno focuses on providing a simplified payment process with features like smart routing, unified payment insights, auto reconciliation, and custom checkout options. They emphasize security and fraud management, ensuring safe transactions. Yuno facilitates global payouts and subscription management, making them an ideal partner for businesses looking to optimize their payment systems and increase revenue.

📋 Description

• 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.

🎯 Requirements

• 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

🏖️ Benefits

• 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