Xylem is a leading global water technology company with over 16.000 employees dedicated to solving the world’s most challenging water issues. We are a global provider of efficient, innovative and sustainable water technologies improving the way water is used, managed, conserved and re-used. Our international team is unified in a common purpose: creating advanced technology and other trusted solutions to solve the world’s water challenges. We are committed to creating an organization of inclusion and diversity, where everyone feels involved, respected, valued and connected, and where everyone is free to bring their authentic selves and ideas.

A Senior Hydroinformatics Engineer (m/f/d) is a multidisciplinary engineer with optimization and hydraulic modeling skills and a passion for using data to improve urban watershed environmental and social impact. This position is focused on development and implementation of algorithms and analytics for operational optimization of water and wastewater systems. The primary focus will be on Treatment System Optimization, which is a Xylem platform that optimize the operation of Wastewater Treatment Plants, with the application of Artificial Intelligence by means of Machine Learning models and Optimization techniques.

Location: Germany, Remote / Homeoffice

• Complete understanding and wide application of technical principals, theories, and concepts in the field of data analytics, optimization and process control engineering
• Autonomously develops, deploys and maintains models for standard and special projects
• Identifies opportunities and proposes modifications to existing guidelines and processes
• Identifies and implements projects specific workflows to optimize cross-team collaboration
• Oversees the activities of Engineers and review the technical deliverables
• Develop and manage large datasets. Communicate summaries and conclusions drawn from data in clear and concise ways, visually and verbally.
• Translate data analytics into language understood by water resource engineers and data analysts, both in the practitioner and research space

• Undergraduate degree in Engineering or related field, preference given to those with Master’s or PhD degrees
• 5-8+ years of experience of inter-disciplinary research or project work with multiple different engineering or science disciplines
• Minimum of 2 years of experience in water related projects
• Fluent in German and English
• Proficient of software languages such as Python, R, C++, Matlab
• Advanced knowledge of data filtering process, such as anomaly detection
• Advanced knowledge of data-driven models, such as machine learning
• Advanced knowledge of optimization process, such as genetic algorithms
• Familiar with data connections to SCADA systems, such as OPC
• Able to lead scrum processes, using Xylem tools such as Jira
• Familiar with databases (InfluxDB, PostgreSQL, …) is a plus
• Familiar with hydraulic models of waste water networks or treatment systems is a plus

• Professional Development – To advance the capabilities of our people, we offer a wide variety of experiences to support our employees’ professional growth and continuous learning.
• Total Rewards – We offer comprehensive programs for compensation, benefits, recognition, learning and development, work-life integration and corporate citizenship.
• Watermark – Watermark is our corporate social responsibility program working to provide education and access to safe water to ensure healthy lives, gender equality, and resilient communities. Employees have the opportunity to learn and volunteer on various water-related projects.
• Employee Networks – Our Employee Networks provide a professional, supportive network for employees from diverse backgrounds, including Women’s, LGBT+ and Allies, Veteran’s, People of Color and Allies, Emerging Leaders, and Working Parents Networks.

For questions regarding this opportunity, please reach out to Niklas Naunheim, Corporate Recruiter at +49 1621374371.

We are looking forward to your application!

Xylem is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other characteristics protected by law.

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