Data Engineer

About the role

SurplusMap is building a data‑driven platform for electric‑vehicle charging, geospatial analysis and energy forecasting. As a Data Engineer you will join the engineering and data‑science teams to design, implement and maintain scalable data pipelines that power the company’s green‑mobility solutions.

Key responsibilities

• Design, develop and maintain ETL pipelines that ingest large datasets from various sources.
• Implement and optimise data storage using Google Cloud services, especially BigQuery.
• Build and manage transformation workflows with DBT and Dataform.
• Collaborate with senior engineers to ensure data integrity, security and performance.
• Support AI‑powered models for EV‑charger utilisation, load forecasting and geospatial analysis.
• Assist with cloud‑infrastructure provisioning using Terraform (nice‑to‑have).

Required profile

• Can‑do, hands‑on attitude with strong communication skills.
• 2+ years of experience in data engineering or related roles.
• Problem‑solving mindset and ability to work both independently and in cross‑functional teams.
• Interest in AI, geospatial data and sustainable energy technologies.

Required skills

• Google Cloud Platform – BigQuery.
• SQL for large‑scale data querying.
• DBT and Dataform for data transformations.
• Python for scripting and automation.
• Basic knowledge of Terraform for infrastructure‑as‑code (optional).

What we offer

• Opportunity to work on cutting‑edge projects in EV charging infrastructure and green energy.
• Collaborative environment with leading European tech partners.