Related skills
sql python pandas pyspark numpy📋 Description
- Design and implement scalable forecasting, pricing, and optimisation algorithms.
- Lead technical design discussions for high-volume data processing and modelling.
- Translate energy-market requirements into robust, maintainable data solutions.
- Improve robustness, performance, and scalability of models and workflows.
- Mentor peers through code reviews and knowledge sharing.
- Collaborate with Product, Data, and Delivery to ensure production reliability.
🎯 Requirements
- Proven experience designing, developing, and deploying algorithms or data models in production.
- Strong Python and data stack proficiency: SQL, Pandas, NumPy, PySpark, etc.
- Experience designing microservices and distributed systems.
- Experience with large-scale or high-frequency datasets (smart meters, IoT, weather).
- Familiarity with SaaS/product environments; energy domain a plus.
- Technical leadership guiding design decisions and best practices.
- Strong communication and mentoring abilities.
🎁 Benefits
- Flexible work options: Office Mix or Remote First Mix with mobility benefits.
- Remote-first culture with technology for remote work.
- Remuneration based on experience and location; no-nonsense approach.
- Generous PTO and health insurance coverage.
- Career growth opportunities and lifelong learning.
- Company-wide gatherings and international travel.
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