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Staff Software Engineer, Data Engineering

Ripple · London

How to use this kit

Ground every answer in facts on this page and the original listing. We never invent Glassdoor-style reviews or salaries that are not in our data.

Interview prep

Be ready to walk through large-scale data pipeline design, reliability and schema evolution, cross-team tradeoffs, and how you’d support enterprise crypto/payments workloads. Expect system-design depth plus stakeholder communication examples.

Fit summary

Strong fit if you lead data platforms at staff level, thrive in regulated fintech/crypto, and want London-based work on Ripple’s blockchain product stack.

Day in the role

As Staff Software Engineer, Data Engineering at Ripple, expect to shape data platforms that support blockchain and payments products: gather requirements with product and eng leads, design pipelines and interfaces, assess feasibility under time/cost limits, and coordinate rollouts with analysts and peer engineers.

Skills to emphasize

FAQ from this listing

What does Ripple build?

Enterprise blockchain products on the XRP Ledger and other networks, from a company founded in 2012.

Is this role remote?

No—the listing is London-based (remote flag 0).

What free training maps to this family?

freeCodeCamp, Saylor CS, CS50, and Microsoft Learn paths—all free or free to learn per the cert list.

Occupation tasks (O*NET)

Public-domain labor data — prepare examples for 2–3 of these.

O*NET source

Company facts (cached)

Website: ripple.com

Ripple is an American technology company which offers enterprise blockchain products on the XRP Ledger and other networks. Originally named OpenCoin and renamed in 2015, the company was founded in 2012 and is based in San Francisco, California.

Public cache only — not an employee review.

Role overview (listing rewrite)

Staff Software Engineer, Data Engineering at Ripple - London Position Summary Ripple is revolutionizing global financial systems by developing cutting-edge crypto solutions for financial institutions, businesses, governments, and developers. As a Staff Software Engineer on the Data Engineering team, you will play a pivotal role in shaping the technical direction of Ripple's Caspian Data Platform, a centralized lakehouse that powers analytics, financial reporting, product intelligence, and more. Core Duties Design and implement robust data pipelines to support real-time and batch processing needs Develop and maintain scalable, efficient, and reliable data storage solutions for the Caspian Data Platform Collaborate with cross-functional teams to define data requirements and ensure alignment on project goals Optimize data queries and performance to meet stringent operational demands Ensure data quality and integrity through rigorous testing and validation processes Skills & Qualifications Expertise in big data technologies such as Apache Spark, Hadoop, Kafka, and Flink Proficiency in SQL and NoSQL databases for query optimization and data storage Experience with cloud platforms like AWS or Google Cloud for data warehousing and analytics A proven track record of delivering complex data engineering projects on time Strong problem-solving skills, ability to work independently and as part of a team Working at Ripple Join us at Ripple, where we are committed to creating greater economic fairness and opportunity for people worldwide. Our inclusive culture supports career growth and skill development through collaborative teamwork. Together with our colleagues, you will have the chance to make a real impact and build a better financial future. Apply Today If you're ready to see your impact and unlock incredible career growth opportunities, join us at Ripple. As a Staff Software Engineer on the Data Engineering team, you will play a crucial role in shaping our Caspian Data Platform. To apply, complete your application directly on this page, or you'll be redirected to the employer's application platform to finish submitting there.

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Questions to ask them

Generated for personal interview prep · 2026-08-19 UTC · getajob.ai