Senior Algorithm Engineer (Python/Spark-Distributed Processing)

• Design, build and deploy algorithms/data models supporting pricing, forecasting and optimisation use cases in production
• Develop and optimise distributed Spark / PySpark batch pipelines for large-scale data processing
• Write production-grade Python workflows implementing complex, explainable business logic
• Work with Databricks for job execution, orchestration and optimisation
• Improve pipeline performance, reliability and cost efficiency across high-volume workloads
• Collaborate with engineers and domain specialists to translate requirements into scalable solutions
• Provide senior-level ownership through technical leadership, mentoring and best-practice guidance

• Proven experience delivering production algorithms/data models (forecasting, pricing, optimisation or similar)
• Strong Python proficiency and modern data stack exposure (SQL, Pandas/NumPy + PySpark; Dask/Polars/DuckDB a bonus)
• build, schedule and optimise Spark/PySpark pipelines in Databricks (Jobs/workflows, performance tuning, production delivery)
• Hands-on experience with distributed systems and scalable data processing (Spark essential)
• Experience working with large-scale/high-frequency datasets (IoT/telemetry, smart meter, weather, time-series)
• Clear communicator able to influence design decisions, align stakeholders and operate autonomously

Nice to have

• Energy/utilities domain exposure
• Cloud ownership experience (AWS preferred, Azure also relevant)
• Experience defining microservices / modular components supporting data products