At a Glance
- Tasks: Build and enhance Neo4j Graph Analytics for Snowflake, integrating cutting-edge graph data science.
- Company: Join a leading tech company revolutionising data analytics in the cloud.
- Benefits: Competitive salary, flexible remote work, and opportunities for professional growth.
- Other info: Dynamic remote-first team with excellent career advancement opportunities.
- Why this job: Make a real impact on enterprise data platforms with innovative technology.
- Qualifications: 4+ years in software development, strong SQL skills, and experience with Java or Python.
The predicted salary is between 70000 - 90000 £ per year.
Join the team behind Neo4j Graph Analytics for Snowflake, our Snowflake Native App that brings the full power of Neo4j Graph Data Science directly into customers' Snowflake accounts, with no data movement required. You’ll work on a product that lives natively inside Snowflake – a containerized Java + Python runtime, a SQL‑first API, and a release pipeline that ships graph analytics to enterprise data platforms. Our customers are data engineers and data scientists across financial services, supply chain, telco, and beyond, who use it to run PageRank, community detection, pathfinding, and node embeddings against the warehouses where their data already lives. This is a hands‑on, mid‑to‑senior role at the intersection of graph analytics, cloud‑native distribution, and DevOps, with a meaningful say in the platform’s technical direction.
What You’ll Do
- Build and evolve the Neo4j Graph Analytics for Snowflake application, embedding Neo4j Graph Data Science into the Snowflake platform.
- Design and improve our SQL‑facing API: stored procedures, UDFs, and the surface area customers call from their warehouses.
- Own significant parts of the build, release, and deployment pipeline: Snowflake CLI, Gradle, container images, and the Java/Python runtimes that execute inside Snowpark Container Services.
- Improve the platform’s security posture: caller's rights vs. owner's rights stored procedures, restricted caller's rights (RCR), grants, and proactive image scanning.
- Collaborate with customers and Solution Engineers to turn real‑world requirements into scalable features.
- Contribute to operational excellence: runbooks, release processes, observability, and reproducible dev environments.
What You’ll Bring
- 4+ years of professional experience building and shipping production‑quality software.
- Strong SQL skills and real experience integrating with cloud data warehouses (Snowflake, BigQuery, Redshift, Databricks, or similar).
- Solid grounding in at least one of Java or Python, and willingness to be effective in both.
- A genuine DevOps mindset: comfortable owning build pipelines, container images, releases, and the operational side of a product.
- Experience designing software for performance, scalability, and predictable cost on cloud infrastructure.
Bonus Points
- Hands‑on experience with Snowflake, especially Native Apps, Snowpark Container Services, or building stored procedures and UDFs at scale.
- Familiarity with Docker, OCI image registries, and security scanning tooling (Semgrep, Snyk, Trivy, etc.).
- Understanding of graph theory and graph algorithms (centrality, community detection, pathfinding, embeddings), or strong curiosity to learn them.
- Background in distributed systems, JVM performance tuning, or columnar/analytical query engines.
- Experience working in a distributed, remote‑first team and shipping to enterprise customers.
Senior Software Engineer - Graph Analytics for Snowflake in London employer: Neo4j Inc
As a Senior Software Engineer at Neo4j, you'll be part of a dynamic team that is revolutionising graph analytics within the Snowflake ecosystem. Our London office fosters a collaborative and innovative work culture, offering ample opportunities for professional growth and development in cutting-edge technologies. With a focus on employee well-being and a commitment to operational excellence, we provide a rewarding environment where your contributions directly impact our customers and the future of data science.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Graph Analytics for Snowflake in London
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. We all know that sometimes it’s not just what you know, but who you know that can get you in the door.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repository showcasing your projects, especially those related to graph analytics or cloud-native applications. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for interviews by practising common technical questions and coding challenges. We recommend using platforms like LeetCode or HackerRank to sharpen your skills before the big day.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Senior Software Engineer - Graph Analytics for Snowflake in London
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your experience with Java, Python, and SQL, as well as any relevant cloud data warehouse work. We want to see how your skills align with the role, so don’t be shy about showcasing your achievements!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you’re excited about the Senior Software Engineer position and how your background in graph analytics and DevOps makes you a perfect fit for our team.
Showcase Your Projects:If you've worked on any projects related to graph analytics or cloud-native applications, make sure to mention them. We love seeing real-world examples of your work, especially if they demonstrate your problem-solving skills and creativity.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you’re considered for the role. Plus, it shows you’re keen on joining our awesome team!
How to prepare for a job interview at Neo4j Inc
✨Know Your Tech Stack
Make sure you’re well-versed in the technologies mentioned in the job description, especially Java, Python, and SQL. Brush up on your experience with cloud data warehouses like Snowflake, as well as any relevant graph algorithms. Being able to discuss these topics confidently will show that you’re a great fit for the role.
✨Showcase Your DevOps Mindset
Since this role requires a strong DevOps mindset, be prepared to talk about your experience with build pipelines, container images, and release processes. Share specific examples of how you've improved operational excellence in past projects, as this will demonstrate your ability to own significant parts of the deployment pipeline.
✨Prepare for Real-World Scenarios
Expect to discuss how you would turn real-world requirements into scalable features. Think of examples from your previous work where you collaborated with customers or engineers to solve complex problems. This will highlight your collaborative skills and your ability to think critically under pressure.
✨Ask Insightful Questions
Interviews are a two-way street, so come prepared with thoughtful questions about the team, the product, and the company’s vision for the future. This not only shows your interest in the role but also gives you a chance to assess if the company aligns with your career goals.
