Job Description:
About ShipIn
ShipIn Systems is the world’s first FleetVision Platform, unlocking ship-to-shore collaboration for global maritime fleets with AI-powered maritime CCTV and visual analytics. Our platform proactively alerts shipowners, managers, and seafarers to onboard events in real time, enhancing safety, security, and operational efficiency across fleets worldwide.
About The Role
We are looking for a Data Engineer Team Leader to lead our new Data team. In this role, you will take ownership of the existing data pipelines, development and maintenance of both the On-Premises data pipeline running on vessels (handling large-scale, real-time video streams operating 24/7), as well as the cloud (AWS) data pipelines running over Kafka and Spark.
The role is primarily focused on the on-premises data infrastructure, with involvement in cloud-based systems for data processing and feature development. You’ll collaborate closely with architects, DevOps, product managers, and algorithm engineers, ensuring high performance and reliability across our systems.
This is a founding team roleyou’ll be instrumental in shaping the data engineering roadmap and responsible for hiring and mentoring engineers in Israel and APAC.
Key Responsibilities
Lead and manage the Data Engineering team, providing both technical direction and day-to-day team leadership.
Own the design, implementation, and optimization of data pipelines across on-prem and cloud (AWS) environments.
Guide the team in maintaining and evolving existing pipelines to support product scalability, reliability, and performance.
Partner with data scientists and algorithm engineers to deploy ML models efficiently in production environments.
Integrate on-premises data pipelines with cloud infrastructure for seamless data flow and publishing.
Collaborate with cross-functional teams (Computer Vision, Shore Operations, Product, DevOps) to deliver new features and system improvements.
Drive technical design reviews, enforce high engineering standards, and ensure code quality.
Stay current with data engineering best practices and drive innovation across the stack.
Troubleshoot and resolve complex data infrastructure issues.
Mentor and grow team members, and foster a culture of technical excellence, ownership, and continuous improvement.
Lead and support recruitment efforts to build a strong, engaged, and distributed team.
Align technical execution with broader business goals and customer impact.
Qualifications
5+ years of hands-on experience building and maintaining production-grade data pipelines.
2+ years of experience managing engineering teams.
Strong development experience in Python and Scala.
Deep experience with Linux-based on-prem environments.
Strong understanding of AWS cloud services and infrastructure.
Experience with Docker and Kubernetes in production environments.
Hands-on experience with Kafka.
Excellent communication and collaboration skills across technical and non-technical stakeholders.
Experience integrating machine learning models into production data pipelines.
Nice to Have
Proven track record of managing remote or offshore developers.
Experience with video/image processing workflows.
Hands-on experience with PostgreSQL & Spark.