Finance Data Engineer Lead — AI-Driven Governance & Cloud

Accenture UK

Greater London

On-site

GBP 90,000 - 130,000

Full time

2 days ago
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Job summary

Accenture UK is seeking a Finance Data Engineer to own the finance data and ontology layer, building governed data products sourced from live ERP/EPM systems. You will design lineage, contracts and retrieval-ready services for AI, analytics and decision intelligence.

Responsibilities include building the finance ontology, pipelines from SAP/Oracle/Workday, and ensuring secure data lifecycle, with experience on Azure/AWS/GCP and Databricks/Snowflake. 10+ years preferred.

Qualifications

  • Production data engineering experience with SQL, Python and modern data platforms.
  • Hands-on ETL/ELT, data testing, Git and CI/CD practices.
  • Experience with PySpark or dbt is beneficial.
  • Knowledge of enterprise finance data structures and data contracts.

Responsibilities

  • Build and extend the finance ontology and related data relationships.
  • Engineer pipelines from SAP, Oracle, Workday and EPM into governed data products.
  • Create entity-resolution and master/reference data capabilities across sources.
  • Establish lineage, observability and data-quality checks for audit readiness.
  • Define data contracts between delivery pods and client platforms.
  • Collaborate with AI engineers on retrieval, grounding and provenance.

Skills

SQL
Python
Databricks
Snowflake
Fabric
ETL/ELT
Git
CI/CD
PySpark
dbt
Kubernetes

Education

Tools

Databricks
Snowflake
Palantir
Kubernetes

Job description

Accenture UK is seeking a Finance Data Engineer to own the finance data and ontology layer, building governed data products sourced from live ERP/EPM systems. You will design lineage, contracts and retrieval-ready services for AI, analytics and decision intelligence.

Responsibilities include building the finance ontology, pipelines from SAP/Oracle/Workday, and ensuring secure data lifecycle, with experience on Azure/AWS/GCP and Databricks/Snowflake. 10+ years preferred.

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