Software & Data Engineer

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.

Responsibilities

• Design and build highly scalable, reliable data pipelines that serve clean, structured data across engineering, product, and business teams
• Own the architecture of complex data models that translate messy, real-world transportation data into fast, efficient, and scalable systems
• Lead end-to-end development across the full data lifecycle from architecture and design through deployment, monitoring, and continuous improvement
• Proactively monitor data quality and reliability, identifying and resolving discrepancies before they reach stakeholders
• Collaborate with engineers, analysts, and business stakeholders to identify data needs, design POCs, and ship scalable solutions
• Contribute to the adoption and evolution of the modern data stack, including DBT, Airflow, Iceberg storage, and AWS big data tooling such as Glue, EMR, and Athena

Requirements

• 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
• Passionate about data and genuinely curious about technology
• A strong collaborator who thrives working across engineering and business teams
• Self-driven and comfortable navigating complexity independently

Benefits

• Competitive compensation package which includes base salary and equity
• Health insurance with a discount for family members
• Hybrid work and a lovely office situated in the heart of TLV, in Midtown, close to the light rail and train station
• Freefit and other sports lessons
• 10bis/Cibus
• happy hours
• team events
• communities