AI-Driven Data Engineer: Modernization & Pipelines Lead

Accenture PLC; Redmond; On-site; AUD 135,000 - 421,000; Full time

Benefits offered by this job

Medical benefits

Dental benefits

Vision benefits

401(k) plan

Paid holidays

Job summary

Accenture PLC is seeking a seasoned data engineer to lead migrations, build data pipelines feeding AI systems, and develop data products. You will apply evidence-extraction techniques, including dependency analysis and git-history mining, to ensure reliable mappings before deployment.

Minimum 5 years in data engineering, plus 1–2 years in AI/LLM work and 4+ years in agile teams. Strong Python/SQL skills and experience with cloud data platforms are essential. Some travel may be required.

Qualifications

• Minimum 5 years hands-on data engineering or data platform engineering.
• 1–2 years specifically on AI/LLM-related data work.
• 4+ years in agile engineering or consulting teams.
• 3+ years with Python and SQL at production scale.
• Knowledge of data lineage and observability to detect drift.
• At least 1 year designing data supply for AI systems.

Responsibilities

• Lead data-engineering work on a migration engagement.
• Build pipelines and data products feeding AI systems.
• Apply evidence-extraction techniques like git-history mining.
• Perform dependency analysis on the source estate.
• Travel may be required depending on business needs.

Skills

Data engineering

AI/LLM data work

Agile teams

Python

SQL

Data lineage

Data observability

Data products

Education

Bachelor's degree

Tools

Git

Cloud data platforms

Job description

Accenture PLC is seeking a seasoned data engineer to lead migrations, build data pipelines feeding AI systems, and develop data products. You will apply evidence-extraction techniques, including dependency analysis and git-history mining, to ensure reliable mappings before deployment.

Minimum 5 years in data engineering, plus 1–2 years in AI/LLM work and 4+ years in agile teams. Strong Python/SQL skills and experience with cloud data platforms are essential. Some travel may be required.