Data Engineer

Own, build, and maintain production data pipelines and enrichment services using Python, PostgreSQL, and BigQuery in a GCP cloud environment. Architect data systems end to end, including design, deployment, monitoring, and iterative improvement. Analyze complex security datasets and SaaS telemetry to uncover risks, patterns, and opportunities. Research emerging threat vectors and contribute to automated intelligence feeds and published reports. Work across security domains such as SSPM, Shadow Integrations, DLP, and Malware Protection   5+ years in  data-focused roles  (engineering, analytics, science) Strong  SQL  and  Python  skills Experience with  cloud platforms  (GCP, AWS, Azure) and modern data warehouses (BigQuery, Databricks) Proven ability to  build data infrastructure  from scratch Ability to turn complex data into  actionable insights Fast learner with  systematic problem-solving  skills Comfortable with  technical research  in unfamiliar domains Independent and determined, with strong  collaboration skills BSc in  Computer Science, Mathematics, Statistics , or related field Excellent  communication skills  for technical and non-technical audiences We are building next-generation SaaS security intelligence and SaaS Security Posture Management (SSPM) solutions that protect enterprises worldwide. If you enjoy turning complex security data into actionable insights and delivering end-to-end systems, this role is for you. About the role You will own, build, and maintain our data pipeline (Python) and enrichment system on top of PostgreSQL and BigQuery . This system powers security analytics, detections, and intelligence. A core part of your job will be to design and implement new components, improve reliability and performance, and ensure data quality and observability.