At a Glance
- Tasks: Design and build innovative data pipelines using cutting-edge tech like Databricks and AI tools.
- Company: Join Ripple, a bold tech company transforming the global financial system.
- Benefits: Enjoy competitive salary, wellness perks, flexible work, and professional development opportunities.
- Other info: Collaborative culture with team bonding activities and a commitment to diversity.
- Why this job: Make a real-world impact while growing your skills in a supportive environment.
- Qualifications: 5-8 years of data engineering experience with strong SQL and Python skills.
The predicted salary is between 59400 - 72600 £ 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.
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.
WHO WE ARE
- 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
- Mobile phone stipend
- 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.
Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.
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Senior Software Engineer, Data Engineering in London employer: Jackalope Digital LLC
At Anthropic, we pride ourselves on fostering a collaborative and innovative work culture that empowers our engineers to make a real impact. Located in vibrant London or San Francisco, we offer competitive benefits, continuous learning opportunities, and a commitment to employee growth, ensuring that you can thrive both personally and professionally while working on cutting-edge connectivity infrastructure.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer, Data Engineering in London
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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 Jackalope Digital LLC.
Craft a killer cover letter:Your cover letter is your chance to stand out—make it personal! Explain why you want to work at Jackalope Digital LLC 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!
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How to prepare for a job interview at Jackalope Digital LLC
✨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 Jackalope Digital LLC 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.
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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.