Sr. Software Engineer Data Platform Team (m/f/d)
Erlangen, Germany
Applications have closed
Fluence
Fluence is a global market leader in energy storage products and services, and cloud-based software for renewables and storage assets.
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)
## 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)
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
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Category:
Engineering Jobs
Tags: Ansible APIs Architecture CI/CD Computer Science Data pipelines Data quality Engineering Jenkins Kafka Kinesis Pipelines PostgreSQL Python Rust Streaming Terraform Testing
Region:
Europe
Country:
Germany
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