About Fluence: Fluence Energy, Inc. (Nasdaq: FLNC) is a global market leader in energy storage products and services, and optimization software for renewables and storage. With a presence in over 47 markets globally, Fluence provides an ecosystem of offerings to drive the clean energy transition, including modular, scalable energy storage products, comprehensive service offerings, and the Fluence IQ Platform, which delivers AI-enabled SaaS products for managing and optimizing renewables and storage from any provider. Fluence is transforming the way we power our world by helping customers create more resilient and sustainable electric grids.

For more information, visit our website, or follow us on LinkedIn or Twitter. To stay up to date on the latest industry insights, sign up for Fluence's Full Potential Blog.

We are guided by our passion to transform the way we power our world. Achieving our goals requires creativity, diversity of ideas and backgrounds, and building trust to effect change and move with speed.

Fluence currently has thousands of MW of energy storage projects operated or awarded worldwide in addition to the thousands of MW of projects managed by our trading platform—and we are growing every day.

Fluence is defined by its unwavering commitment to safety, quality, and integrity.

We achieve our goals and meet our customer’s needs by cultivating curiosity, adaptability, and self-reflection in our teams.

We value the diversity in thought and experience of our coworkers and customers. Through honest, forthcoming, and respectful communications we work to ensure that Fluence is an inclusive and welcoming environment for all.

Summary:

We are seeking a talented and experienced Senior Data Engineer to join our growing data team. You will play a key role in building and maintaining our data pipelines, ensuring the quality and reliability of our data assets, and collaborating with data analysts and scientists to unlock insights from our data. You will be a technical leader, mentor, and problem solver, helping us scale our data infrastructure and drive data-driven decision making across the organization.

Responsibilities:

•Design, develop, test, and deploy software applications using Python, SQL, Tand ETL tools.

•Collaborate with cross-functional teams to gather requirements and ensure software solutions meet business needs.

•Write clean, efficient, and well-documented code that adheres to industry standards and best practices.

•Participate in code reviews and provide constructive feedback to team members.

•Troubleshoot and debug software issues and collaborate with the operations team to resolve production issues.

•Stay up to date with emerging technologies and tools, and apply this knowledge to improve software development processes and techniques.

•Mentor junior developers and provide guidance on software development best practices.

Requirements:

•Bachelor’s degree in computer science or related field (equivalent experience accepted).

•Minimum of 12 years of experience in software development using Python, SQL, and ETL tools.

•Strong understanding of software development principles, patterns, and best practices.

•Demonstrated experience with Agile software development methodologies.

•Excellent problem-solving skills, attention to detail, and ability to work independently or as part of a team.

•Excellent written and verbal communication skills in English.

•Understanding of version control systems (e.g., Git).

Preferred Qualifications:

•Experience with cloud-based platforms (AWS, Azure, Google Cloud) and containerization technologies (Docker, Kubernetes).

•Knowledge of DevOps practices and tools (e.g., CI/CD pipelines, infrastructure as code).

•Understanding of data modeling and database design.

•Experience with automated testing frameworks and tools.