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Senior Algorithm Engineer; Python​/Spark–Distributed Processing

Job in Grimsby, Lincolnshire, DN32, England, UK
Listing for: Xcede
Full Time position
Listed on 2026-01-29
Job specializations:
  • IT/Tech
    Data Engineer, Data Science Manager, Machine Learning/ ML Engineer, AI Engineer
Job Description & How to Apply Below
Position: Senior Algorithm Engineer  (Python/Spark–Distributed Processing)

Overview

Senior Algorithm Engineer (Python / Spark – Distributed Data Processing)

Location:

UK (O/IR35) / Belgium / Netherlands / Germany (B2B)
Working model:
Remote
Start: ASAP

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/Num Py + 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
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Position Requirements
10+ Years work experience
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