Senior Software Engineer, Data Engineering New London, UK

Ripple; Greater London; On-site; GBP 110,000 - 140,000; Full time

Benefits offered by this job

Equity

Learning budget

Wellness program

Catered lunches

Job summary

Ripple is hiring a Senior Software Engineer, Data Engineering in London. You will design, build, and operate production ETL pipelines on Databricks, own data modeling, and drive end-to-end architecture across multiple teams.

You will mentor engineers and contribute to platform infrastructure using Terraform, while integrating AI tooling into data workflows to improve efficiency and insights across Finance, Payments, and GTM domains.

Qualifications

• 5–8 years of hands-on data engineering experience building and maintaining production pipelines.
• Deep proficiency with Databricks platforms including Delta Live Tables and Unity Catalog.
• Strong SQL skills with complex transformations and data quality validation.
• Proficiency in Python for data ingestion, transformation, and testing.
• Solid AWS experience for building and operating data systems at scale.

Responsibilities

• Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark.
• Own data modeling across layers to provide reliable sources of truth for metrics.
• Drive technical design documents covering architecture, tradeoffs, and rollout plans.
• Build pipeline observability, including failure detection, alerting, and retry logic.
• Integrate AI tooling into data workflows to enable automated code generation and data access.

Skills

Data pipelines

Databricks

SQL

Python

AWS

CI/CD

Terraform

AI tooling

Tools

Delta Live Tables

Unity Catalog

Delta Lake

PySpark

Spark SQL

GitLab

Job description

Senior Software Engineer, Data Engineering

London, UK

Please note this is for London, UK. You only need toapply to one location if there are multiple listed for the job.

Role Overview

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs.

If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value.

What you'll do

• Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark, applying medallion architecture patterns across Finance, Payments, Product, and GTM domains.
• Own data modeling in different layers - defining governed, reusable table structures that serve as reliable sources of truth for business metrics and downstream consumption.
• Drive technical design for projects spanning multiple teams, writing clear design documents that articulate architecture, tradeoffs, and rollout plans.
• Build pipeline observability into your work - failure detection, alerting, retry logic, and the operational hygiene that keeps oncall burden low.
• Integrate AI tooling into data workflows: agentic systems for pipeline triage, automated code generation for transformations, and natural language interfaces for data access.
• Mentor engineers, reviewing their code and designs and helping them grow into more complex ownership.
• Contribute to platform infrastructure through Terraform, and work with Unity Catalog to establish data contracts, access controls, and lineage.

What you'll bring

• 5-8 years of hands-on data engineering experience building and maintaining production pipelines and data models.
• Deep proficiency with Databricks or similar platforms - Delta Live Tables, Unity Catalog, Delta Lake, and PySpark or Spark SQL as primary tools.
• Strong SQL skills: complex transformations, incremental materialization, schema evolution, and data quality validation.
• Solid AWS experience relevant to building and operating data systems at scale.
• Proficiency in Python for data engineering - ingestion, transformation, testing, and utility tooling.
• Experience with CI/CD tooling such as GitLab and infrastructure-as-code with Terraform.
• Exposure to AI tooling in a data context - whether building agents, using LLMs for code generation, or enabling self-serve analytics workflows.
• The ability to take ambiguous requirements, define the right data model and pipeline design, and deliver with minimal oversight.

Nice to have

• Familiarity with financial, payments, or blockchain data.
• Experience with Fivetran or similar ingestion tools and their operational patterns.

WHO WE ARE:

Do Your Best Work

• The opportunity to build in a fast-paced start-up environment with experienced industry leaders
• A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning.
• Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team.
• In-office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in.
• Bi-weekly all-company meeting - business updates and ask me anything style discussion with our Leadership Team
• We come together for moments that matter which include team offsites, team bonding activities, happy hours and more!

Take Control of Your Finances

• Competitive salary, bonuses, and equity
• Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support
• Employee giving match

Take Care of Yourself

• R&R days so you can rest and recharge
• Generous wellness reimbursement and weekly onsite & virtual programming
• Generous vacation policy - work with your manager to take time off when you need it
• Industry-leading parental leave policies. Family planning benefits.
• Catered lunches, fully-stocked kitchens with premium snacks/beverages, and plenty of fun events

Benefits listed above are for full-time employees.

Ripple is an Equal Opportunity Employer. We’re committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance.