Backend Services & APIs: Design, develop, and maintain scalable Python-based backend services, APIs, integrations, and automation solutions, with a focus on reliability, performance, security, and maintainability.
Service, Data & Database Integration: Integrate backend services with databases, external systems, and data-processing components, including support for high-volume or time-series workflows where required. Design and optimize relational database schemas, queries, indexes, and data models to ensure scalability and reliability.
Data Processing & Performance: Develop and maintain data-ingestion, transformation, validation, and processing workflows for analytics and operational use cases. Monitor, troubleshoot, and improve application, service, and database performance and operational reliability.
Delivery & Collaboration: Contribute to CI/CD pipelines, deployments, testing, code reviews, monitoring, and operational excellence. Collaborate closely with other developers, platform teams, and stakeholders to deliver reliable, maintainable solutions.
Bachelor's/Master degree in IT (or related) field
Strong experience in Python development (5–8 years)
Expert-level Python development for backend systems, including API design, testing, data processing and Clean Code practices.
Strong SQL skills with a solid understanding of relational data modeling and performance optimization.
Experience working with cloud-based data platforms and data pipelines.
Your communication skills are excellent. You communicate the architectural design and technical solution with the client and the team and set clear goals to work towards
You have a strong problem-solving and ownership mindset.
You have experience with Agile/Scrum methodologies
Your communication skills in English are excellent (Dutch is plus)
Nice-to-Have:
Experience with containerization and deployment workflows (e.g., Docker).
Experience with ORMs and database migration tooling.
Familiarity with data pipelines, analytics workflows, or data-intensive systems.
Experience in the energy domain
Challenging project in the energy sector
Start date: As soon as possible
Work week: 40 hours
Duration of the project: December 31, 2026 (with an option to extend)
Location: Hybrid (office in Rotterdam)
Please note that a take-home case study is part of the recruitment process (after a 30 min online pre-interview). The take-home case study requires 1–2 hours of your effort. It encourages the use of higher-level tools (e.g., pandas) and focuses on system design, abstraction, correctness of business logic, and testing. The outcome of the take-home case study, if positive, will be discussed during the 1st interview.
Utilus is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.
Please note that we only accept applicants that are located in the Netherlands at time of application.
