Battery Data Engineer

Fluence is the leading global energy storage technology and services company, created and backed by Siemens and AES, two industry powerhouses and pioneers in energy storage. Fluence unites the scale, experience, breadth, and financial backing of the two most experienced icons in energy storage.

Our mission is to create a more sustainable future by transforming the way we power our world. Energy storage is critical to this transformation, yet today the market is fragmented and customers face the challenge of finding a trusted technology partner amidst conflicting technical claims, inexperienced vendors and installers, and new market entrants with limited power sector knowledge.

Fluence brings the proven technology solutions and services that overcome the commercial and regulatory barriers that stand in the way of modernizing our energy networks. We are the partner that can deliver at a global scale with the most experienced and knowledgeable team in the world.

Senior Battery Data Engineer 

Company Overview: Fluence is a leader in energy storage solutions, committed to innovation and excellence in battery technology. We are dedicated to advancing the integration of renewable energy and ensuring the reliability and efficiency of energy storage systems. Join our team and contribute to a sustainable future. 

 

Position Overview: We are seeking a highly skilled and experienced Senior Battery Data Engineer to join our Battery Systems Engineering team. The Senior Battery Data Engineer will be responsible for developing, implementing, and optimizing data pipelines and architectures to collect, process, and analyze battery performance and health data. This role will provide technical leadership and work closely with cross-functional teams to support data-driven decision-making and enhance our battery intelligence solutions. 

Key Responsibilities: 

Data Pipeline Development: Design, develop, and maintain data pipelines to collect and process large volumes of battery performance and health data from various sources. 

Data Integration: Integrate data from multiple sources, ensuring data consistency, quality, and reliability. 

Data Storage and Management: Implement and manage data storage solutions, ensuring efficient data retrieval and storage. 

Data Processing and Analysis: Develop and optimize algorithms for processing and analyzing battery data to derive meaningful insights and support product development. 

Collaboration: Work closely with data scientists, engineers, and product managers to understand data requirements and deliver data solutions that meet business needs. 

Performance Monitoring: Monitor the performance of data systems and make improvements as needed to ensure data accuracy and system reliability. 

Documentation: Document data architectures, pipelines, and processes to ensure transparency and knowledge sharing within the team. 

Technical Leadership: Provide guidance and mentorship to junior data engineers, fostering a collaborative and innovative team environment. 

Qualifications: 

Education: Bachelor’s degree in computer science, Data Engineering, Electrical Engineering, or a related field. Advanced degree preferred. 

Experience: Minimum of 5 years of experience in data engineering, preferably within the battery or energy storage industry. 

Technical Skills: 

Proficiency in data engineering tools and technologies (e.g., SQL, Python, Apache Spark, Kafka). 

Experience with cloud platforms (e.g., AWS, Azure, Google Cloud) and data storage solutions (e.g., SQL/NoSQL databases, data lakes). 

Knowledge of data integration and ETL (Extract, Transform, Load) processes. 

Familiarity with big data processing frameworks and tools. 

Experience with MLOps techniques and practices. 

Proficiency in data visualization tools (e.g., Tableau, Power BI). 

Experience with version control and DevOps practices (e.g., GitHub, GitLab). 

Analytical Skills: Strong analytical and problem-solving skills with the ability to interpret complex data and provide actionable insights. 

Communication Skills: Excellent verbal and written communication skills with the ability to collaborate effectively with cross-functional teams. 

Attention to Detail: High level of accuracy and attention to detail in data processing and analysis. 

Additional Skills and Experience: 

Battery Technology: Knowledge of battery technology and energy storage systems is a plus. 

Machine Learning: Experience with machine learning and data science methodologies is an advantage. 

Agile Methodologies: Familiarity with agile methodologies and project management tools (e.g., Jira).