At Eneco, we aim to achieve climate neutrality by 2035 for both our organization and our customers. Our One Planet strategy supports this goal through advanced digital solutions and innovative technologies. Our tech teams within the short-term trading and operational domain contribute to this mission by developing tools that facilitate continuous energy delivery and optimize trading operations.
As a Python Tech Lead, you will be leading the effort of developing a new platform for short-term trading asset scheduling models. Using Python, you will work to enhance the value of Eneco's diverse asset portfolio, which includes e-boilers, Combined Heat and Power (CHP) systems, heat grids, Combined Cycle Gas Turbines (CCGTs), batteries, wind turbines, and solar panels across multiple energy markets. You will take the technical lead in building this new mission-critical platform, ensuring the use of the latest technologies and adherence to high-quality coding standards.
Responsibilities- Building resilient and future proof applications. Lead the planning, architecture and development of the asset dispatching platform and the energy optimization models.
- Growing the team. You'll be a coach and mentor to your team members.
- Push the standard. Ensure code follows best practices, works efficient and is tested effectively.
- Drive adoption. Keep technology current with advancements in Python and cloud technologies.
- Overseeing the software development lifecycle.
- Ensure production systems perform efficiently, with robust security and maintainability.
- Proven expertise in Python and cloud engineering.
- Experience building mission-critical platforms.
- Strong technical skills with the ability to communicate requirements to stakeholders.
- Comprehensive understanding of containerization, microservices, and Continuous Integration/Continuous Deployment (CI/CD) processes (Azure DevOps).
- Ability to lead a team of developers, ensuring high-quality coding standards are met.
- Residency in the Netherlands and fluency in English.
- Experience with mathematical optimization (Gurobi is highly advantageous).
- Background in trading, energy markets, or optimization models.
- Proficiency in data science/engineering.
- Experience with frontend frameworks (Vue.js).
- Familiarity with .NET/C#.
You will join Eneco’s Python tech team within Ops&IT and be part of the larger Eneco backend developer community. Together, we establish backend standards and contribute to the advancement of a sustainable energy system.
Please Reach out to our Recruiter.
#J-18808-Ljbffr€80000 - €100000 monthly