Data Engineer/Scientist (Python, Java, Apache Spark, AWS)

About the job

The candidate with coding, and development knowledge will help Durapower to fully recognize Digital value and help them substantially create more business value and most importantly contribute to the shared vision of Durapower.

Where you fit

Durapower has been pioneering in electric cell manufacturing for over 12 years and has seen the landscape develop from early adopters into the early majority. Today they are working together with other leaders in the industry to shape the future of e-mobility and stationary storage of lithium-ion batteries. It has a presence across 21 markets across the globe headquartered in Singapore. This role is key to the success of the group's shared vision to build a robust Digital capability centered around new energy innovation and cater to decarbonized energy demand for the future.

The Digital leadership team is part of Innovation CoE, and includes a dedicated implementation team to act as the bridge between product R&D, business, and external ecosystem

What’s the role?

• As a Battery Insights Date Scientist in Singapore, you will architect and maintain robust data systems. Collaborate with cross-functional teams to integrate diverse data sources, enabling accurate analysis of battery performance. Develop predictive models and work with data scientists to extract actionable insights, driving innovation in battery technology.
• Stay updated on industry trends to shape data initiatives and ensure our position at the forefront of the sector. Join us in this dynamic role, contributing to informed decision-making and continuous advancements in battery technology.

Key Expectation:

• Efficient Data Architecture: Design and maintain effective data pipelines and systems for seamless integration of diverse battery-related data sources, ensuring efficient and accurate representation.
• Collaborative Insight Generation: Collaborate with cross-functional teams, data scientists, and analysts to transform raw data into actionable insights, developing predictive models that contribute to strategic decision-making in the battery technology sector.
• Continuous Innovation: Stay abreast of industry trends and advancements, providing recommendations to shape data initiatives that keep our organization at the forefront of innovation in battery technology.

Key success measure for the role

• Data Accuracy and Integrity: Success in this role is measured by the accuracy and integrity of the data systems implemented, ensuring that insights derived from battery-related data are reliable and actionable.
• Innovation Impact: The role's success is also measured by the impact on innovation within the battery technology sector, including the development of predictive models and contributions to strategic decision-making that drive advancements in the field.

Core Responsibilities are as follows:

• Data Architecture: Design, build, and maintain robust data pipelines and systems to efficiently collect, store, and analyze diverse battery-related data.
• Integration and Collaboration: Collaborate with cross-functional teams to integrate data from various sources, ensuring a comprehensive and cohesive representation of battery performance metrics.
• Predictive Modeling: Develop and implement predictive models to extract meaningful insights, contributing to strategic decision-making in the battery technology sector.
• Data Analysis: Work closely with data scientists and analysts to identify patterns, trends, and anomalies in the data, translating raw information into actionable insights.
• Innovation and Trends Monitoring: Stay updated on industry trends and advancements, providing recommendations to shape data initiatives that keep the organization at the forefront of innovation in battery technology.

What We Need from You

• University or Master’s degree in Computer Science, Data Science, or a related field.
• Demonstrable experience as a Date Scientist, with a focus on designing and implementing data architectures and pipelines, particularly in the context of battery-related data
• Proficiency in data modeling and design, including SQL scripting and database administration
• Strong proficiency in relevant programming languages (e.g., Python, Java), data modeling, and database management systems. Experience with tools such as Apache Spark and familiarity with cloud platforms (e.g., AWS) is a plus.
• Experience in developing and implementing predictive models to extract insights from complex datasets, contributing to informed decision-making.
• Understanding of battery technology, energy storage systems, and a keen interest in staying abreast of industry trends and advancements
• Natural curiosity, creative and critical thinking with a learner mindset
• Effective communication skills to collaborate with cross-functional teams and convey insights to non-technical stakeholders are essential