Data Engineer Team Lead

About Us

Supplant, a well-funded startup, is revolutionizing the agricultural industry by empowering farmers worldwide to communicate effectively with their plants. In today's rapidly changing and unpredictable climate, this capability has become essential for farmers to anticipate extreme scenarios and mitigate potential disasters. With years of experience and ongoing innovation, we are at the forefront of this cutting-edge technology. Our experts' teams are constantly examining the data, providing more insights and recommendations, that are translated these findings into tangible HW & SW solutions. If you are passionate about making a difference in the agricultural sector, thrive in a dynamic startup environment, and have a knack for creating engaging content, join us on this exciting journey as we continue to evolve and transform the industry.

About the position:

As the Data Engineering Team Leader at SupPlant, you will play an important role in shaping our data & AI strategy and ensuring the reliable and efficient AI models flow within our organization. You will lead the data engineers’ team, overseeing the development, maintenance, and optimization of our data infrastructure, pipelines, and ML solutions.

Responsibilities:

• Lead and manage a team of data engineers, and other AI professionals. With collaboration with the Data scientists' team.
• Collaborate with cross-functional teams, such as product, engineering, and sales, to understand business requirements and translate them into technical solutions.
• Design and develop data pipelines and infrastructure to support the team’s work. Work with cloud platform (AWS), big data technologies, and machine learning frameworks.
• Stay up to date with the latest advancements in data and AI and share knowledge with the team.
• Defining the team’s technical vision and strategy, in cooperation with the data scientists' team.
• Responsible for management of the agile squad as a scrum master

Qualifications:

• Advanced degree in a related field, such as computer science, data science, or statistics.
• 5+ years of experience in data engineering and/or MLOps
• Proven experience as a team leader, and ability to lead and manage a team.
• Strong programming skills in Python
• Experience with cloud platforms (preferably AWS), big data technologies, and machine learning frameworks.
• Experience with MLOps tools and processes
• Experience in developing and deploying machine learning models at scale.
• Excellent communication and interpersonal skills
• Ability to think strategically and solve problems.
• Passion for data and AI
• Experience as scrum master - advantage