✦ Luna Orbit — Data & Analytics

Senior Data Engineering Manager

at Experian

📍 Nottingham Hybrid Posted March 01, 2026
Type Not Specified
Experience senior
Exp. Years 0+ years
Education Not specified
Category Data & Analytics

This role involves leading the design and delivery of scalable data solutions, managing data pipelines, and guiding data strategy and governance across the organization.

  • Design data architectures
  • Build data pipelines
  • Lead data transformation projects
  • Implement data governance
  • Collaborate on data strategy

The technical scope includes data architecture, pipelines, cloud data platforms like Snowflake, orchestration tools such as Snowplow and Orchestra, and large-scale data re-platforming.

The ideal candidate is a senior data engineering leader with extensive experience in designing data architectures, building data pipelines, and managing large-scale data transformations using cloud platforms like Snowflake and orchestration tools like Snowplow and Orchestra. They possess strong leadership and strategic skills to guide data initiatives.

Data ArchitectureData PipelinesData TransformationCloud Data PlatformsSnowflakeSnowplowOrchestra
ML OpsData GovernanceData ModelingData WarehousingBig DataDistributed Systems
SnowflakeSnowplowOrchestra
Data ArchitectureData PipelinesData TransformationCloud Data PlatformsSnowflakeSnowplowOrchestra
Data ArchitectureData PipelinesETLData TransformationCloud Data PlatformsSnowflakeSnowplowOrchestraData ModelingData WarehousingBig DataDistributed SystemsData GovernanceData StrategyData Re-platforming
leadershipstrategic thinkingcollaborationcommunicationproblem-solvingmentoring
Industry Technology / SaaS / Data & Analytics / Cloud
Job Function Leading data architecture and pipeline development for scalable data solutions
Data Engineering ManagerData ArchitecturesData PipelinesData TransformationCloud Data PlatformsSnowflakeSnowplowOrchestraData ModelingData WarehousingBig DataDistributed SystemsData GovernanceData StrategyData Re-platformingML OpsData Architecture

Lack of experience with cloud data platforms like Snowflake, No background in data architecture or pipelines, Poor leadership or strategic thinking

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