(Senior) Data Engineer (ML, Big Data)

Allegis Group
London, GB
Hybrid

Why this role

Pace
Fast Paced
Collaboration
High
Autonomy
Medium
Decision Impact
Team
Role Level
Individual Contributor

What success looks like

  • design and maintain batch data pipelines
  • improve data accessibility and usability
  • contribute to internal tooling
Typical background
strong hands-on experience with Scala and Apache Spark

Transferable backgrounds

Skills & requirements

Required

ScalaApache Sparkdata pipeline designproduction pipeline ownership

Preferred

large-scale data platformsJVM ecosystemML orchestration

Stack & domain

ScalaApache sparkBatch data pipelinesProduction data pipelinesMl pipelinesMl infrastructuresSoftware engineeringPerformance optimizationScalabilityReliabilityStructured engineering frameworksJvm ecosystemMl orchestrationMl lifecycle toolingCollaborationData engineeringMachine learningBig data

About the role

About the Role One of the World's most recognisable technology brands is looking for a Senior Data Engineer to design and operate large-scale data pipelines that power machine learning across the platform.

You’ll sit at the intersection of data engineering and ML infrastructure, working on systems that enable ML teams to build, deploy, and scale their workflows. This role is focused on high-quality, production-grade pipelines rather than modelling itself.

What You’ll Do

Design, build, and maintain batch data pipelines using Scala and Spark

Own end-to-end production pipelines, ensuring…

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