About the role
Job Description
* Maintain and enhance existing data processes with a focus on reliability, scalability, and performance optimization * Analyze and fully understand existing data models, tables, workflows, and processing jobs * Identify technical gaps, bottlenecks, inefficiencies, and opportunities for system improvements * Design, optimize, and support large-scale data pipelines and transformation processes * Drive modernization initiatives across the data platform and implement architectural improvements * Optimize complex SQL queries and improve data processing latency * Collaborate with product engineering teams to align on technical solutions and implementation strategies * Contribute to both short-term delivery goals and long-term platform evolution * Ensure adherence to best practices in data engineering, performance optimization, and system reliability
Qualifications
* 5+ years of commercial experience in Data Engineering * Expert-level SQL skills with hands-on experience optimizing complex queries for performance and scalability * Strong practical experience with DBT for data transformation and modeling * Solid understanding of database concepts, including DDL, DML, and advanced SQL * Hands-on experience with Snowflake * Experience working with Elastic stack technologies * Proven experience designing, building, and maintaining large-scale data pipelines * Strong analytical and problem-solving skills * Ability to work independently in a high-autonomy environment * Experience driving technical initiatives from idea to implementation * Strong communication and collaboration skills * Upper-Intermediate English level
WILL BE A PLUS
* Experience with Airflow for workflow orchestration * Experience in cybersecurity or security-related products * Experience modernizing legacy data systems and architectures