At a Glance
- Tasks: Design and build production-grade data pipelines using cutting-edge tech like Databricks and Spark.
- Company: Join Ripple, a leader in crypto solutions transforming the global financial system.
- Benefits: Enjoy competitive salary, health benefits, remote work options, and opportunities for professional growth.
- Other info: Dynamic environment with excellent career growth opportunities and mentorship.
- Why this job: Make a real-world impact while working on innovative projects with a supportive team.
- Qualifications: 5-8 years of data engineering experience and strong skills in Databricks, SQL, and Python.
The predicted salary is between 66150 - 80850 £ per year.
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 Py Spark 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 Git Lab 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.
Senior Software Engineer, Data Engineering in London employer: ripple
Ripple is an excellent employer that fosters a collaborative and innovative work culture, providing its employees with the opportunity to work on cutting-edge technology in the heart of Abingdon. With a strong focus on professional development, employees are encouraged to enhance their skills and advance their careers while contributing to high-quality projects in a supportive environment. The company also offers competitive benefits and a commitment to employee well-being, making it a rewarding place to build a career in CNC programming.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Data Engineering in London
✨Join Local Tech Meetups
Get out there and mingle with fellow developers by joining local tech meetups. It’s a fantastic way to meet people who might be working at ripple or know someone who does. Plus, you can pick up some trendy tech skills and trends while you're at it!
✨Contribute to Open Source Projects
Show off your coding chops by jumping into open-source projects. Not only does this give you practical experience, but it also gets you noticed in the dev community. You'll create a killer portfolio that speaks volumes about your skills to ripple.
✨Tap into Online Developer Communities
Don’t underestimate the power of online developer communities like GitHub, Stack Overflow, and even Reddit. Participate in discussions, share your projects, and build your visibility. We can often find opportunities through these channels that can lead to a full-time gig at companies like ripple.
✨Explore Job Boards Specifically for Tech Roles
Keep your eyes peeled on job boards that focus on tech roles. Sites like TechCareers or Stack Overflow Jobs can often have listings for companies like ripple that might not show up on broader job sites. Make it a habit to check these regularly, and don’t hesitate to apply directly through our website!
We think you need these skills to ace Senior Software Engineer, Data Engineering in London
Some tips for your application 🫡
Show off your coding skills:When applying for a software engineering role, it's super important to showcase your coding skills. Make sure your CV includes your tech stack, any relevant programming languages you’re comfortable with, and examples of projects you've worked on. If you have a GitHub profile, link it up! We love to see code in action.
Tailor your portfolio:For a full-time role, we’d expect to see some solid examples of your work in your portfolio. Make sure to include at least two or three projects that highlight your problem-solving skills and your ability to work with different technologies. Focus on the projects that are most relevant to the position at ripple.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at ripple and how your skills align with the role. Show us your passion for software development. We dig enthusiastic candidates who understand the value of collaboration and continuous learning!
Be clear and concise:When it comes to writing your CV and cover letter, clarity is key. Avoid jargon that could confuse us and stick to simple, direct language. Highlight your achievements with quantifiable results where possible, and keep everything easy to read. A well-organised application goes a long way!
How to prepare for a job interview at ripple
✨Brush Up on Your Coding Skills
For a full-time software engineering role, it's crucial that we stay sharp with our coding abilities. Expect technical questions that might involve solving problems on the spot or discussing algorithms. Practise on platforms like LeetCode or HackerRank to get comfortable with the types of questions that often come up.
✨Know Your Tools and Frameworks
Make sure we’re well-acquainted with the tools and technologies listed in the job description. Familiarise ourselves with any specific frameworks or programming languages mentioned. If ripple uses React or Node.js, for instance, be ready to discuss how we’ve used them in previous projects or coursework.
✨Showcase Your Projects
Bring along a portfolio that highlights our best work. This could be code samples, GitHub repositories, or any side projects we’ve built. Make sure we can talk through our thought process for each project, especially the challenges we faced and how we solved them—this shows our problem-solving skills in action.
✨Prepare for Behavioural Questions
While technical skills are key, full-time positions also require cultural fit. Be ready to discuss our previous experiences and how we handle teamwork, conflict, and deadlines. Brush up on the STAR method—Situation, Task, Action, Result—to clearly articulate our past experiences when discussing how we've contributed to a team.
