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Data Analyst & Engineer roles (HR / Employee Data)

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Summary

Data Engineer and Data Analyst roles on a large-scale HR Analytics and Data Modernisation programme, sitting within the HR function to build trusted employee data products and workforce reporting. Core stack includes Microsoft Fabric, PySpark/Python, SQL, Delta Lake and Power BI.

We are seeking experienced Data Engineers and Data Analysts to support a large-scale HR Analytics and Data Modernisation programme.


These roles will sit within the HR function and focus on building trusted employee data products and delivering actionable workforce insights. The team is transforming its HR data landscape using modern cloud-based technologies, with a strong focus on Microsoft Fabric, data governance, analytics and stakeholder engagement.

Successful candidates will have experience working with enterprise data platforms and be comfortable supporting business-critical reporting and analytics initiatives.

Data Engineer

Responsibilities

  • Design, build and maintain Bronze, Silver and Gold data layers within Microsoft Fabric
  • Develop PySpark notebooks for data transformation, enrichment and cleansing
  • Implement scalable ETL/ELT pipelines and orchestration processes
  • Develop dimensional models and HR data products for reporting and analytics
  • Build incremental loading and Delta Lake processing patterns
  • Implement data quality monitoring and validation frameworks
  • Support migration from legacy data platforms to modern cloud architecture
  • Maintain technical documentation and data lineage

Required Skills

  • Microsoft Fabric, Databricks, Azure Synapse or similar cloud data platforms
  • Strong PySpark and Python experience
  • Advanced SQL development skills
  • Lakehouse architecture and Medallion framework experience
  • Delta Lake fundamentals
  • Data pipeline development and orchestration experience
  • Dimensional modelling and data warehousing concepts
  • Git-based development methodologies

Preferred

  • HR, HCM or employee data experience
  • Power BI semantic models
  • Azure DevOps
  • CI/CD implementation experience

Data Analyst

Responsibilities

  • Analyse workforce and employee data to support HR decision-making
  • Produce reporting and insights across headcount, FTE, turnover and demographic metrics
  • Document business rules, transformation logic and data definitions
  • Work closely with HR stakeholders to gather and validate requirements
  • Support UAT, reconciliation and data quality activities
  • Develop and enhance Power BI reporting solutions
  • Contribute to data governance, metadata and data lineage initiatives
  • Translate technical findings into business-friendly insights

Required Skills

  • Strong SQL analysis and reporting experience
  • Power BI reporting and data modelling expertise
  • Experience documenting business processes and data flows
  • Understanding of dimensional modelling concepts
  • Strong stakeholder engagement and communication skills
  • Experience supporting data migration or transformation projects

Preferred

  • HR Analytics or People Analytics experience
  • Microsoft Fabric exposure
  • Workforce planning and talent analytics experience
  • Experience within retail, luxury, FMCG or multinational environments

Ideal Candidate Background

We are particularly interested in candidates who have experience working with:
  • HR / People Analytics
  • Employee or Workforce Data
  • Workday, SuccessFactors, Oracle HCM or similar HR platforms
  • Enterprise Reporting and Analytics
  • Microsoft Fabric and Power BI ecosystems
  • Cloud Data Transformation programmes




Skills

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