At GraphAware, we’re building a new approach to intelligence analysis.
We believe the next generation of tools will bring data and context together as a connected view of intelligence, accelerating analysis without locking teams into rigid models and fixed ways of working.
GraphAware Hume, our graph-powered intelligence analysis platform, turns siloed data into a connected intelligence picture that lets analysts answer their hardest questions.
It’s the result of more than a decade spent helping law enforcement and security organisations make sense of complex connections, from national security and policing, to financial crime detection and cyber defence.
Rating Reviews
Rating is calculated based on
4
reviews and is evolving.
Pros: The core technical work is genuinely interesting. GraphAware is at the forefront of graph database solutions, particularly with Neo4j. You get to work on complex data problems and contribute to cutting-edge projects. The team is very knowledgeable, and learning opportunities are abundant. The flexibility to work remotely or hybrid is a significant advantage.
Cons: While the technical expertise is high, sometimes project-level communication can feel a bit fragmented, leading to minor delays or confusion. Ensuring consistent information flow across all team members, especially on distributed teams, is an area that could be refined to improve overall project velocity and clarity for everyone involved.
Advice to Management: Consider implementing more structured cross-team communication channels and regular project syncs to ensure everyone stays aligned. This will enhance collaboration and efficiency.
Show more
Pros: Working at GraphAware has been a rewarding experience, particularly for anyone interested in graph databases and AI applications. The projects are genuinely challenging and cutting-edge, allowing for significant learning and skill development. The team is collaborative and supportive, and the company embraces a flexible work environment, with good remote options available for software engineers and data scientists.
Cons: While the technical aspects are strong, the overall leadership vision and communication could be clearer. Sometimes there's a disconnect between executive strategy and day-to-day execution, leading to occasional shifts in priorities. Improving transparency and consistency in management decisions would greatly enhance the employee experience.
Advice to Management: Focus on enhancing transparent communication and strategic alignment across all teams to foster greater trust and efficiency. Regularly solicit and act on feedback.
Show more
Pros: The technical challenges are significant and rewarding, especially working with graph databases like Neo4j. You get exposure to real-world AI and data science applications. The team is generally supportive and knowledgeable, fostering good collaboration. The company culture is quite flat, making communication easier. Flexible remote work options are a big plus for work-life balance.
Cons: Sometimes project scope can shift unexpectedly, leading to periods of intense work. While learning opportunities are great, structured career pathing could be clearer. Documentation on internal tools could be more comprehensive to speed up onboarding for new hires joining the data engineering team.
Advice to Management: Continue investing in structured training for career progression and consider enhancing internal documentation to further support team efficiency and onboarding.
Show more
How does GraphAware handle interview scheduling for roles like a Senior Software Engineer in their Amsterdam office?
GraphAware's interview scheduling for roles like Senior Software Engineer in Amsterdam was quite efficient; they used Calendly, and the recruiter was very responsive in finding a time that worked for both my availability and the interview panel.
Does GraphAware offer remote positions for experienced graph database developers?
Yes, GraphAware, a small but influential company in the graph technology space, frequently hires remote graph database developers, allowing for work-from-home flexibility.
What is the typical salary range for a Graph Database Engineer at GraphAware, a mid-sized company in the data analytics sector?
Based on industry standards for graph database roles in tech companies of GraphAware's size, salaries often range from
$90,000 to $130,000 annually, depending on experience.
AE
