Data Engineer

A high-growth Mobility & Smart Transportation tech company engineering an intelligent, algorithmic fleet management and optimization platform.

Founded by seasoned industry veterans and backed by a leading global automotive fleet corporation following an acquisition, the company maintains complete operational autonomy and an agile startup culture.

The platform leverages advanced predictive models and big data to automate demand forecasting, dynamic pricing, and vehicle dispatching for global car rental companies, car-sharing operators, and automotive OEMs.

Located in central Tel Aviv (approx. 10-minute walk from the train station), operating on a hybrid work model.

Role Description-

• Serving as a Senior Data Infrastructure & Pipeline Engineer, leading the design, implementation, and scaling of core enterprise data systems across batch and real-time streaming architectures.
• Architecting, developing, and maintaining high-throughput ETL / ELT Data Pipelines using Python, Apache Spark, and SQL.
• Designing dimensional data models, Data Marts, and analytical storage layers in modern Cloud Data Warehouses (Snowflake / GCP / AWS).
• Orchestrating robust data workflows and pipeline scheduling utilizing Apache Airflow / DBT.
• Deploying and scaling containerized data services within Docker and Kubernetes (K8s) environments under modern CI/CD practices.
• Collaborating cross-functionally with Machine Learning Engineers, Data Scientists, Product Managers, and Core Backend squads to power algorithmic mobility decision-engines.

Requirements-

• 4+ years of hands-on experience as a Data Engineer or in Data Infrastructure Development – Mandatory
• Strong programming proficiency in Python for data processing and pipeline development – Mandatory
• Advanced, deep hands-on expertise in Complex SQL, Query Optimization, and Data Modeling – Mandatory
• Proven track record in building and scaling Large-Scale Data Pipelines (Batch & Streaming) – Mandatory
• Hands-on experience with big data processing frameworks (Apache Spark, PySpark, or Apache Flink) – Mandatory
• Practical experience with workflow orchestrators (Apache Airflow) and Cloud Platforms (AWS / GCP) – Mandatory
• Experience with real-time streaming (Apache Kafka) or modern data modeling tools (DBT, Snowflake) – Significant Advantage
• Background in Mobility, IoT Data Streams, FinTech, or Geospatial Analytics – Advantage