Lead Data Engineer
- Company
- DATAHEAD
- Location
- Vilnius, Lithuania
- Salary
- 5 000–6 500 €/mo
- Posted
- 2026-10-05
Skills: Python, SQL, Kafka, Airflow, dbt
About the role:
On behalf of our client, DATAHEAD is looking for a hands-on Lead Data Engineer / Data Platform Lead to build the data foundation. This is not a traditional BI or reporting role. You will work with large volumes of operational data including vehicle telemetry, GPS and location data, routes, driver activity, transport orders, customers and external data sources. Your goal will be to make that data reliable, scalable and usable across Product, Engineering and future AI / agentic capabilities.
Responsibilities
What You’ll Own:
• Assess and map existing data landscape • Design the target data architecture for the next stage of the platform • Build reliable batch and real-time data pipelines • Integrate data across vehicles, GPS, routes, drivers, transport orders, customers and external systems • Create trusted core data models across vehicles, drivers, orders, routes, customers and operational events • Improve data quality, monitoring, observability and reliability • Enable real-time access to operational data for product and automation use cases • Build data services that future AI agents can safely query and act against • Work closely with Product and Engineering to support new customer-facing functionality • Establish strong engineering standards around testing, documentation and deployment • Create a scalable data foundation that future Data and AI hires can build on
Required Skills
• Strong Python and SQL • Proven experience building production-grade…
Full text and application on the employer's site.