Principal Consulting AI / Data Engineer (AI/Data Engineering)

TL;DR

Principal Consulting AI / Data Engineer (AI/Data Engineering): Designing and optimizing enterprise-scale data and AI solutions for SAP-integrated environments with an accent on agentic/context engineering and executive stakeholder management. Focus on building scalable MLOps pipelines, integrating data lakes like Databricks and Snowflake, and translating technical architectures into business value for C-suite executives.

Location: Sydney, NSW. Flexible environment including work from home. Must have legal right to work in Australia (no sponsorship provided).

Company

An established SAP Platinum Partner and local leader in SAP expertise across Australia and New Zealand.

What you will do

• Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks.
• Lead solution architecture discussions with clients to ensure technical delivery aligns with business strategy.
• Present and influence executive-level stakeholders, including boards, C-suite, and senior directors.
• Mentor and guide teams of engineers and consultants to deliver high-quality technical solutions.
• Champion best practices across data engineering, MLOps, and cloud delivery.
• Build the company's reputation as a trusted partner in Data & AI through thought leadership.

Requirements

• Proven expertise in delivering enterprise-grade data engineering and AI solutions in production environments.
• Strong proficiency in Python and SQL, plus experience with Spark, Airflow, dbt, Kafka, or Flink.
• Experience with cloud platforms (AWS, Azure, or GCP) and AI/Data platforms including Databricks, Snowflake, BigQuery, or Microsoft Fabric.
• Strong consulting and stakeholder management skills with a track record of engaging senior executives.
• Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field.
• Legal right to work in Australia (sponsorship is not available).

Nice to have

• Experience with agentic coding tools such as Claude Code or Cortex.
• Background in MLOps, ML pipelines, or AI solution delivery.

Culture & Benefits

• Exposure to latest SAP technologies (S/4HANA, BTP, Joule) and modern ML/AI tools.
• Flexible and supportive work environment including work-from-home options.
• Competitive benefits: novated lease, birthday leave, salary packaging, and a wellbeing programme.
• Comprehensive training budget and paid certifications for Databricks, SAP, and cloud platforms.
• Structured career advancement pathways with opportunities to lead large-scale client programs.