At a Glance
- Tasks: Build and enhance Neo4j Graph Analytics for Snowflake, integrating powerful graph data science.
- Company: Join Neo4j, a leader in graph intelligence transforming data into actionable insights.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Collaborative remote-first team with a focus on innovation and operational excellence.
- Why this job: Make a real impact in the world of data analytics with cutting-edge 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.
About Neo4j
Neo4j is the graph intelligence platform that transforms data into knowledge to power the next generation of intelligent applications and AI systems. It includes enterprise‑ready knowledge graphs for accurate, explainable, and governed AI; the most comprehensive, trusted, and easy‑to‑deploy graph capabilities across any environment and data source; and an unmatched ecosystem trusted by 84 of the Fortune 100 and supported by the world’s largest graph community.
Our Vision
At Neo4j, we have always strived to help the world make sense of data. As business, society and knowledge become increasingly connected, our technology promotes innovation by helping organizations to find and understand data relationships. We created, drive and lead the graph database category, and we’re disrupting how organizations leverage their data to innovate and stay competitive.
The Role
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.
Other
Experience working in a distributed, remote‑first team and shipping to enterprise customers.
Senior Software Engineer - Graph Analytics for Snowflake employer: Neo4j
At Neo4j, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. Our team thrives in a remote-first environment, offering flexible work arrangements and opportunities for professional growth, while contributing to cutting-edge graph analytics technology that empowers businesses worldwide. Join us to be part of a passionate community dedicated to transforming data into actionable insights, all while enjoying the benefits of working with a leader in the graph database space.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Software Engineer - Graph Analytics for Snowflake
✨Tip Number 1
Network like a pro! Reach out to folks in your industry on LinkedIn or at meetups. A friendly chat can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! Create a portfolio or GitHub repo showcasing your projects, especially those related to graph analytics or cloud-native apps. This gives potential employers a taste of what you can do.
✨Tip Number 3
Prepare for the interview by brushing up on your SQL and coding skills. Practice common algorithms and data structures, especially those relevant to graph theory. We want you to shine!
✨Tip Number 4
Apply through our website! It’s the best way to ensure your application gets seen. Plus, we love seeing candidates who are proactive about joining our team.
We think you need these skills to ace Senior Software Engineer - Graph Analytics for Snowflake
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that match the job description. Highlight your experience with SQL, Java, Python, and any cloud data warehouse work you've done. We want to see how you can bring value to our team!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're excited about the role and how your background aligns with our mission at Neo4j. Let us know what makes you tick and why you’re the perfect fit for our graph analytics team.
Showcase Your Projects:If you've worked on relevant projects, whether personal or professional, make sure to include them. We love seeing real-world applications of your skills, especially if they involve graph analytics or cloud-native solutions. It gives us a glimpse into your hands-on experience!
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 don’t miss out on any important updates. Plus, it shows us you’re keen on joining our team!
How to prepare for a job interview at Neo4j
✨Know Your Graph Theory
Brush up on your understanding of graph theory and algorithms. Be ready to discuss concepts like centrality, community detection, and pathfinding. This will show your genuine interest in the role and help you connect with the technical aspects of the job.
✨Showcase Your SQL Skills
Prepare to demonstrate your SQL prowess. Think of examples where you've integrated with cloud data warehouses like Snowflake or BigQuery. Being able to talk through your experience with stored procedures and UDFs will definitely impress the interviewers.
✨DevOps Mindset is Key
Highlight your experience with build pipelines and container images. Discuss any hands-on work you've done with deployment processes and operational excellence. This role requires a solid DevOps mindset, so make sure to convey your comfort in owning these aspects.
✨Collaborative Spirit
Emphasise your ability to collaborate with customers and engineers. Share examples of how you've turned real-world requirements into scalable features. This will showcase your teamwork skills and your understanding of customer needs, which are crucial for this position.
