Full-Stack Software Engineer, Neo4j

Data Importer

Salary not provided

React

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Kotlin

Azure

Mid and Senior level

London

1-3 days a week in office

Graph-based data analysis

Be an early applicant

Graph-based data analysis

501-1000 employees

B2BEnterpriseBig dataAnalyticsData IntegrationData Analysis

Be an early applicant

Salary not provided

React

AWS

Docker

Kubernetes

TypeScript

GCP

JavaScript

Kotlin

Azure

Mid and Senior level

London

1-3 days a week in office

501-1000 employees

B2BEnterpriseBig dataAnalyticsData IntegrationData Analysis

Company mission

To help the world make sense of big data by enabling businesses and organizations to harness the power of connections and relationships in data.

Job

Company

Role

Who you are

Production experience with several of the technologies we use is desirable but not essential
You should have strong Javascript/Typescript skills
Our services layer is Go and Kotlin-based so you should know one of them well, or be interested in picking it up
Our engineers work in both our Malmö and London offices and most teams are split across the two, so you must be comfortable working as part of a distributed team
We use extensive automated testing, so proficiency with a range of approaches from unit testing up to full-stack integration testing will be helpful

What the job involves

As a Full Stack Software Engineer in the Data Importer team you will be contributing to our cloud-based low-code importing tool, and orchestrating features across the developmental stack to bring new features to thousands of users across the globe
Working closely with designers, product managers and other teams, you’ll be:
Prototyping new and experimental features
Improving UI components and graph visualisations
Leveraging cutting edge AI technologies
Delivering robust solutions to customers
Coordinating with backend teams to integrate data import services

Salary benchmarks

Our take

Innovation in database models has developed gradually over the past decade, from scale-out SQL, to key-value stores. Every now and again, something comes along to change the game, and such is the case with Neo4j.

Offered as either a self-hosted database or cloud service, Neo4j is a graph database development platform that focuses on the connections between individual data entities. This offers insights into how systems, people, locations, and seemingly unrelated data points are related so that users can address complex data questions, such as business recommendations, AI, fraud detection, and more. The company is seen as a leader in graph technology with unlimited scaling, which was demonstrated when, in 2021, it produced a record-breaking graph database with over a trillion relationships.

Graph-based data models are now crucial components for AI and machine learning applications, and Neo4j has achieved an impressive number of funding rounds and amassed hundreds of enterprise customers using its product. These include Airbnb, eBay, Lyft, and NASA, the latter of which used graph database technology from Neo4j during the development of the Orion spacecraft.

Freddie

Company Specialist at Welcome to the Jungle

Insights

Top investors

3% employee growth in 12 months

Glassdoor (3.7)

Company

Funding (last 2 of 10 rounds)

Nov 2024

$50m

LATE VC

Nov 2021

$66m

SERIES F

Total funding: $633.6m

Company HQ

Downtown, San Mateo, CA

Leadership

Emil Eifrem

(CEO)

Having studied at Linköping University, they spent over 3 years as Chief Architect at Windh AB, before working as CTO for almost 5 years. They left this position in January 2007 to found Neo4j, where have worked since as CEO.

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