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DevOps and Data Engineer
Job Location
Israel, Hod HaSharon (Hybrid)
Job Brief
Design, develop, and maintain internal data services, automation flows, CI/CD infrastructure, and database-related tooling.
Job Description
Design, develop and maintain data pipelines, ETL/ELT flows, and integrations between internal engineering systems
Design and own the DevOps framework for the company and enable the automation infrastructure used by engineering teams
Build automation tools to improve data processing, tooling, and development workflows
Develop and help optimizing the in-house database-related services, including SQL queries, indexing, stored procedures, performance tuning, and monitoring
Ensure data security, permissions, access control, and data integrity across internal systems
Collaborate with cross-functional teams to understand requirements, solve technical issues, and improve internal developer and customer-facing platforms
Required Skills and Experience
Bachelor’s degree or higher in Computer Science, Software Engineering, EE, Information Systems, or a related field
Minimum 8+ years of experience as a Dataflow and DevOps development, Backend Engineer, Data Engineer, or similar role
Strong experience with Python
Strong SQL skills, including query optimization, indexing, stored procedures, and performance tuning
Experience with ETL/ELT processes, data pipelines, and integration between systems
Strong experience with automation scripting language (ex: Groovy), data processing, and tooling
Experience with Docker, Kubernetes, Jenkins and CI/CD frameworks
Experience with backup, restore, migration, monitoring, and database maintenance processes
Understanding of data security, permissions, access control, and data integrity practices
Experience with Git, Jira, and Agile development workflows
High English skills: listening, speaking, and reading (C1-2)
Nice to have:
Past experience with CloudBees, Antifactory, and integrating them into a secure system
Strong experience with relational databases such as PostgreSQL and Pgvector, MySQL, and NoSQL
Experience with cloud database services such as AWS RDS, Azure SQL, Google Cloud SQL, or similar
Experience with database schema design, data modelling, and database normalization
Experience with AI agents and AI automation
Familiarity with database replication, clustering, high availability, and disaster recovery
Experience with BI/reporting tools or data visualization platforms
Experience with backup solutions and backup strategies
Experience working in an R&D, semiconductor, embedded systems, or hardware/software engineering environment
Experience and background in MAL, datasets, and MAL Python libraries.
Experience in JAVA
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