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- Aufgaben: Join us to build and maintain backend systems for our data platform.
- Arbeitgeber: Fluence is transforming the energy industry with innovative battery storage solutions.
- Mitarbeitervorteile: Enjoy a collaborative work environment and opportunities for professional growth.
- Warum dieser Job: Be part of a mission-driven team making a real impact in energy sustainability.
- Gewünschte Qualifikationen: 5+ years in backend software engineering; strong skills in Python, Go, or C++ required.
- Andere Informationen: Bonus points for experience in the energy sector and knowledge of cloud platforms.
Das voraussichtliche Gehalt liegt zwischen 48000 - 84000 € pro Jahr.
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)
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Sr. Software Engineer _ Data Platform Team (m/f/d) Arbeitgeber: Fluence Energy
Kontaktperson:
Fluence Energy HR Team
StudySmarter Bewerbungstipps 🤫
So bekommst du den Job: Sr. Software Engineer _ Data Platform Team (m/f/d)
✨Tip Number 1
Familiarize yourself with the specific technologies mentioned in the job description, such as Python, Go, and PostgreSQL. Having hands-on experience or projects that showcase your skills in these areas will make you stand out.
✨Tip Number 2
Highlight any previous experience you have with data-intensive environments or backend systems. Be ready to discuss how you've tackled complex technical challenges in your past roles during the interview.
✨Tip Number 3
Prepare to demonstrate your understanding of automated testing and deployment processes. Being able to explain how you've implemented CI/CD pipelines or used tools like Jenkins will show your commitment to system reliability.
✨Tip Number 4
If you have experience in the energy industry or with data streaming technologies, make sure to mention it. These bonus points can set you apart from other candidates and show your relevant expertise.
Diese Fähigkeiten machen dich zur top Bewerber*in für die Stelle: Sr. Software Engineer _ Data Platform Team (m/f/d)
Tipps für deine Bewerbung 🫡
Understand the Role: Take the time to thoroughly read the job description for the Senior Software Engineer position at Fluence. Make sure you understand the key responsibilities and required skills, as this will help you tailor your application.
Highlight Relevant Experience: In your CV and cover letter, emphasize your experience in backend software engineering, particularly in data-intensive environments. Mention specific projects where you've developed data models, APIs, or worked with database systems like PostgreSQL.
Showcase Technical Skills: Clearly list your proficiency in backend programming languages such as Python, Go, C++, or Rust. Include any relevant experience with automated testing, CI/CD processes, and tools like Jenkins and TestRail to demonstrate your technical capabilities.
Communicate Your Collaboration Skills: Fluence values strong communication and collaboration. In your application, provide examples of how you've successfully worked with cross-functional teams, especially with data science teams, to solve complex problems and improve data quality.
Wie du dich auf ein Vorstellungsgespräch bei Fluence Energy vorbereitest
✨Showcase Your Technical Skills
Be prepared to discuss your experience with backend programming languages like Python, Go, C++, or Rust. Highlight specific projects where you developed data models or APIs, and be ready to explain the technical challenges you faced and how you overcame them.
✨Demonstrate Your Problem-Solving Abilities
Expect questions that assess your problem-solving skills. Prepare examples of complex technical challenges you've tackled in previous roles, particularly in data-intensive environments. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarize Yourself with Data Platforms
Research Fluence's data platform and understand its architecture. Be ready to discuss your experience with database systems like PostgreSQL and TimescaleDB, as well as any familiarity with data lake architectures. This will show your genuine interest in the role.
✨Highlight Collaboration Experience
Since the role involves working closely with data science teams and other software engineering teams, prepare to discuss your collaborative experiences. Share examples of how you’ve successfully partnered with others to build data pipelines or improve system performance.
