Sr. Software Engineer _ Data Platform Team (m/f/d)

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.

At Fluence, we're revolutionizing the energy industry by building some of the world's largest battery energy storage installations. As we scale, we're expanding our Data Platform teams to to better store, analyze and learn from the huge amounts of data coming from our systems. We're seeking a talented Senior Software Engineer to join us in developing and maintaining the backend systems and data infrastructure that power our data platform.

## What You'll Do

- Collaborate with software engineering teams to create efficient data models and APIs for our user-facing applications

- Implement and maintain automated testing and deployment processes to ensure system reliability and scalability

- Develop robust backend systems for data cataloging, schema management, and data discovery

- Partner with data science teams to build and refine data pipelines, integrate diverse datasets, and maintain high data quality and governance standards

- Design, implement, and optimize data pipelines to ensure seamless data integration across various sources and destinations

- Optimize backend system performance to handle large-scale data processing and storage requirements

- Design and execute load testing to validate system performance before field deployments

## What You Bring

- Bachelor's or Master's degree in Computer Science, Engineering, or a related field

- 5+ years of experience in backend software engineering, preferably in data-intensive environments

- Strong proficiency in backend programming languages such as Python, Go, C++, or Rust

- Hands-on experience with database systems, including PostgreSQL and TimescaleDB

- Familiarity with data lake architectures and large-scale data storage solutions

- Expertise in professional software development practices, including version control, code reviews, and CI/CD

- Experience with testing frameworks and automation tools like Jenkins and TestRail

- Excellent problem-solving skills and ability to tackle complex technical challenges

- Strong communication skills and a collaborative mindset

## Bonus Points

- Experience in the energy industry

- Knowledge of data streaming technologies (e.g., Kafka, Kinesis)

- Familiarity with cloud platforms and deployment automation (e.g. Terraform / Ansible)