Software & Data Engineer

About the role

Via is on a mission to create public transportation systems that provide far greater access to jobs, healthcare, and education. Our platform serves as the technology backbone for modern transit networks, transforming antiquated and siloed public transportation systems into smart, data-driven, and efficient digital networks. With hundreds of agency partners around the world, Via is recognized as the leading transportation technology and service provider globally.

As a Software & Data Engineer at Via, you will play a central role in building and evolving the data infrastructure that powers one of the world's leading transportation platforms. You'll work with rich, complex transportation data - from ride bookings and payments to real-time operational signals - designing the pipelines and systems that turn raw data into clean, reliable, and actionable insight across the business. This is a high-ownership role on a talented and deeply motivated engineering team in Tel Aviv, where your work will directly shape how Via understands and improves its service for cities and riders around the world.

About the Role:

- Design and build highly scalable, reliable data pipelines that serve clean, structured data across Via's engineering, product, and business teams - ensuring the entire organisation can trust the data it works with

- Own the architecture of complex data models that translate messy, real-world transportation data - bookings, payments, driver activity, and more - into systems that are fast, efficient, and built to scale

- Lead end-to-end development across the full data lifecycle: from architecture and design through to deployment, monitoring, and continuous improvement

- Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders - building the kind of data infrastructure people can depend on

- Collaborate with a broad forum of engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions that make a real difference to how Via operates

- Contribute to the adoption and evolution of our modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena

About You:

- 5+ years as a Data Engineer with production-grade Python and SQL

- Solid data warehousing experience (e.g., Snowflake, Databricks, Redshift, BigQuery).

- Hands-on AWS familiarity: Lambda, S3, SNS/SQS, Firehose, and related lake/ingestion patterns.

- Platform mindset: reliability, observability, and systematic production debugging.

- Terraform/IaC skills: read, modify, and ship changes for EKS-based deployments.

- AI tooling fluency: Cursor/Claude as a primary workflow, can navigate unfamiliar codebases with AI assistance

- Experienced with modern data stack tooling; DBT, Airflow, and Iceberg storage are a significant advantage, as is familiarity with AWS big data services and BI tools such as Looker or Tableau