AI-Driven Finance Data Engineer for Production-Grade Systems

3003 Accenture (UK) Limited Company; City Of London; Hybrid; GBP 85,000 - 110,000; Full time

Job summary

Accenture is seeking a Finance Data Engineer to own the finance data ontology and govern data products sourced from ERP and EPM systems to support AI, analytics and decision-making.

You will build pipelines from SAP, Oracle, Workday and EPM platforms to governed data products, ensuring data lineage and quality. Collaboration with finance SMEs and deployment on Azure, AWS or GCP will be essential to deliver auditable, scalable data services.

Qualifications

• Production data engineering experience with SQL and Python.
• Experience with modern data platforms such as Databricks, Snowflake or Fabric.
• Knowledge of data modelling, data contracts, lineage and governance.

Responsibilities

• Build and extend finance ontology across supplier, invoice, customer and other entities.
• Engineer pipelines from SAP, Oracle, Workday and EPM into governed data products.
• Establish data lineage, quality checks and auditable data contracts.

Skills

SQL

Python

Databricks

Snowflake

Fabric

ETL/ELT

Git

CI/CD

PySpark

dbt

Tools

Azure

AWS

GCP

Kubernetes

Serverless

APIs

Job description

Accenture is seeking a Finance Data Engineer to own the finance data ontology and govern data products sourced from ERP and EPM systems to support AI, analytics and decision-making.

You will build pipelines from SAP, Oracle, Workday and EPM platforms to governed data products, ensuring data lineage and quality. Collaboration with finance SMEs and deployment on Azure, AWS or GCP will be essential to deliver auditable, scalable data services.