Software & Data Engineer at Designer Fund – Tel Aviv | Jobyssey

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

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