Urban Water Data Engineer: Analytics & Customer Delivery

Baseform; Lisboa; On-site; EUR 22,000 - 32,000; Full time

Job summary

Baseform, headquartered in Lisbon, is seeking an Urban Water Data Analytics & Customer Delivery Engineer (Portugal) to join our engineering and customer success management team at the Lisbon headquarters. You will support software implementations, monitor usage, and help customers extract insights.

Work with data science and product teams across continents, develop data methods, and contribute to documentation, while collaborating with sales on technical pitches.

Qualifications

• A degree in Civil/Hydraulics/Water Resources/Environmental engineering or similar (enquire with us if unsure your degree is relevant)
• Cover letter with your motivation to join Baseform, including what would you like to have achieved for yourself in 3 years’ time.
• Native or very good fluency in English

Responsibilities

• Interact with client teams and assist in managing their Baseform implementations, on both data and engineering methodologies.
• Monitor software application at a range of clients from an engineering and applicational standpoint.
• Look for ways to improve our product and its usage
• Assist with the continuous development of our documentation resources.
• Partner with the sales team, providing technical expertise to strengthen their approach to prospective clients.
• Develop engineering and data methods, contributing to our intense and continuous R&D drive to stay at the forefront of water system knowledge and applications.
• Work with the data science and product development teams
• Report and discuss progress internally

Skills

English fluency

Education

Civil/Hydraulics/Water Resources/Environmental engineering degree

Job description

Baseform, headquartered in Lisbon, is seeking an Urban Water Data Analytics & Customer Delivery Engineer (Portugal) to join our engineering and customer success management team at the Lisbon headquarters. You will support software implementations, monitor usage, and help customers extract insights.

Work with data science and product teams across continents, develop data methods, and contribute to documentation, while collaborating with sales on technical pitches.