Senior Algorithm Engineer (Python/Spark–Distributed Processing)

Senior Algorithm Engineer (Python / Spark – Distributed Data Processing) Location: UK (O/IR35) / Belgium / Netherlands / Germany (B2B) Working model: Remote Start: ASAP Senior Algorithm Engineer (Python / Spark – Distributed Data Processing) We’re hiring a Senior Algorithm Engineer to join a data-intensive SaaS platform operating in a complex, regulated industry. This is a hands-on senior IC role focused on building and optimising distributed data pipelines that power pricing, forecasting and billing calculations at scale. - This is not an ML / Data Science / GenAI role What you’ll be doing • 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 Key experience required • 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