Company Description
At Jscrambler, we’re on an exciting journey of rapid growth, fueled by the success of our innovative web security solutions. Our cutting-edge cybersecurity technology is trusted by Fortune 500 companies and leading global organizations to safeguard their online presence and applications.
Our mission is to provide robust security layers for web applications, empowering them with self-defensive capabilities to combat fraud, reverse engineering, and tampering attempts. We’re committed to preventing data breaches and protecting our clients’ reputations in an increasingly complex digital landscape.
After securing $15 million in Series A funding, we recently raised an additional $5.2 million to accelerate the evolution of our client-side protection solutions and drive innovation in web security. With this momentum, we’re launching into 2025 with energy and ambition, continuing to enhance our technology to meet the ever-evolving cybersecurity challenges.
Our team is expanding, and we’re looking for passionate individuals who are eager to make a significant impact. At Jscrambler, every team member plays a vital role in driving our success!
Job Description
We are looking for a Senior Data Engineer to join our Engineering team responsible for designing, building, maintaining and scaling our Data Platform. As a Senior Engineer, you will have an exceptional impact, delivering high-quality work. We expect you to learn quickly, solve complex problems and take full ownership of issues, from identification to resolution. You enjoy collaboration across teams, driving initiatives, and contributing to achieve key business goals. Your strong technical expertise and passion for Data will help you to succeed in this role.
Our data platform delivers real-time insights into client-side behaviors to detect malicious activity. It processes millions to billions of data entries from web applications, identifying cybersecurity threats and PII (Personally Identifiable Information) compromises.
We are investing in expanding the platform’s capabilities, aiming to offer real-time data analysis and support new use cases. Our customers rely on our products to digest large volumes of data into easy-to-read, actionable dashboards that highlight potential attacks and security risks.

EXPERIENCE AND QUALIFICATIONS

• Bachelor’s, Master’s, or Ph.D. in Computer Science, Data Science, or a related field.
• 4+ years of experience in data architecture, modeling, database design, and data management;
• Strong proficiency in Python, SQL, and data governance principles;
• Hands-on experience with technologies like Airflow, Clickhouse, MongoDB, Kafka and Grafana;
• Experience in building ETL/ELT pipelines from scratch;
• Experience with event-driven architectures;
• Proven ability to design and implement large-scale data architectures;
• Capability to drive innovation in data architecture and explore new technologies and methodologies;
• Knowledge of JavaScript is valued;
• Knowledge of Security/Application Security is valued;
• Fluency in English is mandatory.
  Additional Information

• Design and develop conceptual, logical, and physical data models to fulfill business strategies and processes;
• Ensure data models are aligned with business needs and processes;
• Collaborate with product managers, engineers, and data analysts to translate business requirements into data-driven solutions;
• Ensure automated and frictionless data flow between different systems and platforms;
• Develop and implement policies and standards for effective data governance;
• Ensure data quality, consistency, and compliance with regulatory standards;
• Promote the adoption of cutting edge technologies and best practices in the organization’s data architecture;
• Identify and assess new tools, platforms, and frameworks to enhance data architecture and management.
  Qualifications