Job Title:
Data Engineering Specialist
About the Role:
* We are seeking a highly skilled data engineering specialist to design, develop and maintain data pipelines and integrations for our energy data platform.
Key Responsibilities:
* Design, develop and maintain data pipelines and integrations using Python, Java, Kafka and TimescaleDB.
* Collaborate with product managers, data architects and other developers to understand data requirements and deliver efficient solutions.
* Develop and optimize data models and schemas for performance, scalability and reliability.
* Write and maintain complex SQL queries to support analytics, reporting and data transformations.
* Implement and maintain APIs and data services to ensure seamless data integration and accessibility.
* Evaluate the reliability, performance and efficiency of data workflows and systems.
* Maintain clean, maintainable and well-documented code following best practices and standards.
* Participate in code reviews and provide constructive feedback to ensure code quality and consistency.
* Debug, troubleshoot and resolve data and system issues to maintain stability and reliability.
* Contribute to the improvement of data engineering practices, tools and workflows.
* Stay up to date with advancements in data technologies, tools and industry trends to enhance our platform's capabilities.
Requirements:
* Bachelor's degree in Computer Science, Software Engineering or a related field.
* At least 4 years of experience in data engineering or backend software development, with a focus on data pipelines, integration and microservices architecture.
* Strong proficiency in Python and Java, including experience with frameworks such as Spring Boot and data processing libraries.
* Hands-on experience with event-driven architectures and tools such as Kafka.
* Expertise in database systems (SQL and NoSQL), data modelling and query optimization.
* Familiarity with time-series databases, such as Timescale DB, is a strong advantage.
* Knowledge of RESTful API design and development for data integration.
* Understanding of version control systems (e.g., Git) and CI/CD pipelines.
* Experience working with cloud platforms (e.g., AWS, Azure, Google Cloud) and containerization technologies (e.g., Docker, Kubernetes).
* A strong interest in business processes within the energy market and the ability to align technical solutions with business needs.
* Excellent analytical and problem-solving skills with a keen attention to detail.
* Ability to work independently and collaboratively in a fast-paced, agile environment.
* Strong communication skills, a team-oriented mindset and enthusiasm for knowledge sharing and mentorship.
* Highly effective verbal and written communication skills in English. The knowledge of German and/or French is considered an asset.