AI Data Platform Engineer: Migration & Pipelines

Accenture PLC; Western Australia; Vor Ort; AUD 150.000 - 210.000; Vollzeit

Benefits dieser Stelle

Medical, dental, vision, life, and LTD

401(k) plan

Bonus opportunities

Paid holidays

Paid time off

Zusammenfassung

Accenture is seeking a data engineer to lead data-engineering work on a migration engagement, building pipelines and data products that feed AI systems. You will apply evidence-extraction techniques, dependency analysis, and git-history mining to validate data before mapping decisions are trusted.

Travel will be required to varying degrees based on business needs and client requirements, with flexibility for assignment locations across Australia.

Qualifikationen

• 5+ years hands-on data engineering or data platform engineering, with 1–2 years on AI/LLM-related data work.
• 4+ years in agile engineering or consulting teams.
• 3 years with Python and SQL at production scale, plus at least one cloud data platform.
• Fluency with data lineage and data observability to catch drift early.
• 1 year designing data supply for AI systems—vector stores, embeddings, or agent-facing data products.
• AI-adjacent experience counts toward the bars above; 1–2 years of hands-on LLM work is valued.
• Bachelor's degree or equivalent work experience (12 years); associates require 6+ years.

Aufgaben

• Lead data-engineering work on migration engagements, building pipelines and data products for AI systems.
• Apply evidence-extraction techniques, dependency analysis, and git-history mining on source estates.
• Collaborate with cross-functional teams to validate data before mappings are trusted.
• Travel may be required; travel percentage varies with business needs.

Kenntnisse

Data engineering

Python

SQL

Agile

Data lineage

Data observability

LLM data work

Git history mining

Ausbildung

Bachelor's degree or equivalent

Tools

Vector stores

Embedding pipelines

Agent-facing data products

Jobbeschreibung

Accenture is seeking a data engineer to lead data-engineering work on a migration engagement, building pipelines and data products that feed AI systems. You will apply evidence-extraction techniques, dependency analysis, and git-history mining to validate data before mapping decisions are trusted.

Travel will be required to varying degrees based on business needs and client requirements, with flexibility for assignment locations across Australia.