Senior Software Engineer, Data Engineering

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

Benefits offered by this job

Salary with equity

Bonuses

Health & retirement benefits

Employee giving match

R&R days

Wellness reimbursement

Generous vacation

Parental leave

Catered lunches

Job summary

Ripple is seeking a Senior Software Engineer in Data Engineering to lead production data pipelines and platform-level data services in London. You will own end-to-end ETL design on the Caspian Data Platform, shaping data models, governance, and operational reliability across Finance, Payments, Product, and GTM.

You’ll collaborate across teams, raise the bar on engineering standards, and mentor engineers while embedding AI tooling and IaC practices to improve delivery velocity and cost efficiency.

Qualifications

• 5-8 years of hands-on data engineering experience building production pipelines and data models.
• Strong proficiency with Databricks, Delta Live Tables, Unity Catalog, Delta Lake, and PySpark.
• Solid SQL skills including transformations, incremental materialization, and data quality validation.
• Experience with AWS and Python for data engineering tasks.
• Familiarity with CI/CD tooling (e.g., GitLab) and IaC (Terraform).
• Exposure to AI tooling in data contexts and self-serve analytics.

Responsibilities

• Design, build, and operate production ETL pipelines on Databricks using Delta Live Tables and Spark.
• Own data modeling across layers to create governed, reusable sources of truth.
• Drive technical design for cross-team projects with clear architecture docs.
• Build observable pipelines with failure detection, alerts, and retry logic.
• Integrate AI tooling into data workflows and automation.
• Mentor engineers and contribute to platform infrastructure using Terraform.

Skills

Data engineering

SQL

Python

ETL pipelines

Mentoring

Tools

Databricks

Delta Live Tables

Unity Catalog

Delta Lake

PySpark

Spark SQL

AWS

GitLab

Terraform

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.

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.

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.

As a Senior Software Engineer on the Data Engineering team, you are a core builder of the Caspian Data Platform — Ripple's centralized lakehouse that powers analytics, financial reporting, product intelligence, and data-driven operations across every business unit. You own the design and delivery of production-grade pipelines end to end. You raise the engineering bar for the team through code reviews, technical design, and mentorship. You operate with high autonomy on complex, cross-functional data initiatives and bring sound judgment to tradeoffs around performance, cost, reliability, and maintainability.

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.