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Principal Consulting AI / Data Engineer

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DyFlex Solutions

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Location:
Australia , Sydney

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Contract Type:
Not provided

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Salary:

Not provided

Job Description:

As a Principal Consulting AI / Data Engineer, you will design, build, and optimise enterprise-scale data and AI solutions, while also leading engagements with executive stakeholders. This role requires both technical depth and consulting acumen: you will be expected to explain complex technical concepts clearly to non-technical directors, C-suite executives, and senior customer stakeholders. You’ll play a critical role in shaping DyFlex’s growing Data and AI practice, delivering innovative, business-aligned solutions that drive measurable outcomes.

Job Responsibility:

  • Design, build, and maintain scalable data and AI solutions using Databricks, cloud platforms, and modern frameworks
  • Lead solution architecture discussions with clients, ensuring alignment of technical delivery with business strategy
  • Present to and influence executive-level stakeholders, including boards, C-suite, and senior directors
  • Translate highly technical solutions into clear business value propositions for non-technical audiences
  • Mentor and guide teams of engineers and consultants to deliver high-quality solutions
  • Champion best practices across data engineering, MLOps, and cloud delivery
  • Build DyFlex’s reputation as a trusted partner in Data & AI through thought leadership and client advocacy

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 Databricks
  • Ability to confidently communicate and present at C-suite level, simplifying technical concepts into business impact
  • Track record of engaging senior executives and influencing strategic decisions
  • Strong consulting and stakeholder management skills with client-facing experience
  • Background in MLOps, ML pipelines, or AI solution delivery highly regarded
  • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Nice to have:

Background in MLOps, ML pipelines, or AI solution delivery highly regarded

What we offer:
  • Work with SAP’s latest technologies on cloud as S/4HANA, BTP and Joule, plus Databricks, ML/AI tools and cloud platforms
  • A flexible and supportive work environment including work from home
  • Competitive remuneration and benefits including novated lease, birthday leave, salary packaging, wellbeing programme, additional purchased leave, and company-provided laptop
  • Comprehensive training budget and paid certifications (Databricks, SAP, cloud platforms)
  • Structured career advancement pathways with opportunities to lead large-scale client programs
  • Exposure to diverse industries and client environments, including executive-level engagement

Additional Information:

Job Posted:
December 08, 2025

Employment Type:
Fulltime
Work Type:
Hybrid work
Job Link Share:

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