Verified by our engine · Posted 1w ago

ReversingLabs

Senior Data Engineer (Detection & Classification)

ReversingLabs · Research

Zagreb

Senior

DataAirflowCI/CDClickHouseGitGrafanaKafkaPythonRabbitMQSQL

Last seen 1h ago

Posted
1w ago

Posted on 23 October 2026

Workplace
Hybrid

Work model: Hybrid

Salary
Not disclosed

Salary range not shared by the company

Visa sponsorship
Not specified

Visa sponsorship details unknown

Listing history No signals observed

First seen 23 Oct 2026. Last checked 30 Oct, 14:17 UTC. We read each employer's own career page on a cycle and record what changes; this is what we observed, not a verdict on the role.

Sign in to report an error

At ReversingLabs, we are providing the world’s largest threat intelligence repository to protect software development and power advanced security solutions, keeping the leading cybersecurity organizations and Fortune 500 enterprises informed and ahead of the threats. Only ReversingLabs delivers the software package analysis speed and depth needed to protect against this critical area of risk.

Our vision is clear. Arming every company with end-to-end insights to ensure development releases securely, IT purchases safely, and the SOC can effectively detect, isolate and respond. We are seeking extraordinary talent for this game changing opportunity to help forge this transformational journey at ReversingLabs.

ReversingLabs owns the largest file reputation database with records for over 70 billion samples. Our systems add millions of records daily, using in-house classification algorithms which decide whether a file, URL or domain is malicious or safe to use. We are looking for an experienced Data Engineer to join the team that builds these algorithms. The role combines data analysis, malware classification and software development, with data at its core.

As part of the team you’ll evaluate classification components, set up dashboards and monitoring to measure performance, identify gaps and propose improvements. To be successful in this role you will need experience in data analysis, data science or a similar role working with large datasets, and an understanding of popular data analysis tools and databases. We're a small, focused team where everyone's contribution is visible, and your work will directly shape the accuracy of our products and the trust customers place in them.

Responsibilities

Research and evaluate new and existing detection technologies, and recommend improvements that increase classification accuracy and coverage

Collect, process and analyze large volumes of structured, semi-structured and unstructured data from different sources, and turn it into reliable insights and decisions

Build dashboards, monitoring and alerting that track classification quality and engine performance, catch issues early, and support decisions with comparisons to other vendors and company-wide statistics

Write and maintain efficient, clean, production-ready Python code, including libraries, APIs and services

Own projects end to end and be the point of contact for teams integrating our algorithms

4+ years in data analysis, data science or a similar role working with large datasets

Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail

Strong SQL and Python skills for data analysis

Experience with large analytical databases such as ClickHouse

Experience with data visualization tools and building dashboards and alerts in Redash, Grafana, or similar tools

Independence, initiative, effective communication skills, ability to create informative analysis reports and summaries that effectively communicate key findings

AI-forward mindset and some experience using LLMs in data workflows, writing queries and scripts, exploring data and speeding up analysis

Desired skills

A background in malware analysis, threat intelligence or detection engineering, or real interest in cybersecurity and how malware detection works

Experience with distributed data stores (Scylla), data pipeline tools (Kafka, RabbitMQ, Airflow) and data warehouse modeling

Knowledge of statistics and experience with statistical software for analyzing datasets

Experience taking code to production, including Git workflows, CI/CD pipelines, deployment and versioning

Hybrid work options (paid accommodation & transportation to Zagreb during onboarding for remote employees)

Flexible working hours

Generous compensation and a bonus system based on annual performance

Hefty personal education budget and possibility to attend leading conferences and seminars in the field

Company library and possibility to order books of choice via Amazon

Permanent contract in a fast-growing global company with Fortune 500 & governmental agencies as clients

Challenging projects in a dynamic, collaborative team

Great career advancement opportunities - clear goals & internal promotions

Employee referral bonus program: EUR 1,060 net for junior position, EUR 2,123 net for mid to senior positions, and EUR 2,654 net for principal/managerial positions

Multisport card, annual health checkup, newborn child allowance, rent-cost, and 3rd pillar pension benefits

Wellness Weekends - quarterly, company-wide three day weekend, starting with a company paid Friday off for all employees

Fully covered car garage in Radnička for all employees

#LI-MV1

About ReversingLabs

ReversingLabs builds malware analysis and software supply chain security tools, with engineering in Zagreb and Dublin. Their platform analyses billions of files and is used by large enterprise security teams.

Apply at ReversingLabs