Data Engineering Manager

Wanted: Data Engineering Manager for a Cybersecurity company in Tel Aviv. This is a very rewarding full-time and On-site position.

The chosen candidate will bridge hands-on technical excellence with people leadership to mentor, grow, and empower a high-caliber team of Data and Analytics Engineers. Directing the architecture of an enterprise-grade cloud data platform, this leader will drive the technical roadmap while embedding rigorous software engineering principles and modern data practices. It offers a premier opportunity to shape team culture, spearhead large-scale infrastructure initiatives, and directly impact strategic decision-making across the organization.

Job Responsibilities:

• Lead, mentor, and grow a team of Data and Analytics Engineers, actively managing hiring, regular 1:1s, performance feedback, and individual career roadmaps.
• Architect, optimize, and maintain a large-scale, scalable cloud data platform and robust data pipelines to support enterprise analytics and business initiatives.
• Instill software engineering rigor across the team through automated testing, CI/CD implementation, code reviews, and proactive data quality monitoring.
• Partner closely with cross-functional stakeholders across product, analytics, and business units to translate complex requirements into reliable data products.

Job Requirements:

• 5+ years of hands-on experience in Data or Analytics Engineering, alongside at least 2 years of proven experience managing and developing technical teams.
• Advanced programming proficiency in Python and complex SQL, with deep expertise in data modeling, schema design, and ETL/ELT pipelines.
• Strong practical experience with scalable cloud data platforms (preferably AWS) and modern data warehouses such as Snowflake or AWS Redshift.
• Solid background in core software engineering practices, including CI/CD pipelines, automated testing, code reviews, and production monitoring.
• High-impact familiarity with tools like Apache Airflow, dbt, Kafka, Terraform, and BI platforms (Tableau/Power BI), with a solid grasp of Data Privacy and Security principles.