Platform Data Engineer

• Architect, optimize, and maintain scalable ETL/ELT pipelines, data lakes, and cloud data warehouses to support internal analytics and client-facing data products.
• Write clean transformation logic using dbt and manage workflow orchestration (e.g., Airflow), including system monitoring, performance tuning, and incident resolution.
• Maintain and evolve AWS-based messaging infrastructure for reliable, high-throughput data ingestion.
• Design secure, performant data entry/consumption points (e.g., S3 interfaces) to enable data-as-a-product features.

This role accelerates the global transition to clean energy by building the data infrastructure that powers PVcase's solar project development software, enabling faster and more accurate site selection, design, and yield estimation.

• Proficiency in SQL and Python.
• Proven experience as a data or platform engineer or comparable role.
• Hands-on experience with AWS (S3, IAM, and related services).
• Experience with cloud-based data warehousing, dbt, and workflow orchestration (e.g., Airflow).

Flex benefit package, unlimited remote work or vibrant offices in Vilnius, Kaunas, or Barcelona, flexible working hours, half-day Summer Fridays, full training and onboarding, considerable and steadily increasing salary, frequent in-office and after-hours activities, international training programs, internal transparency, additional paid vacation days.

Salary Range: Lithuania: 64,000-84,000 EUR gross/yearly; Spain: 62,400-81,900 EUR gross/yearly; Germany: 100,800-122,000 EUR gross/yearly; Netherlands: 90,800-103,900 EUR gross/yearly.

PVcase provides end-to-end site selection, design, and yield assessment software for solar energy professionals, serving over 1,800 customers in 75+ countries and powering the development of more than 4 TW of projects annually, accelerating the global transition to clean energy.