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Principal Consulting AI / Data Engineer

Expired
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DyFlex Solutions
Sydney NSW
hybrid
Full Time

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Posted 8 months ago
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Posted 1 month ago

DyFlex is an established SAP Platinum Partner with offices across Australia. We are recognised as a leader in our area of SAP expertise. We deliver fit-for-purpose SAP solutions, and our services range from greenfield and brownfield implementations, change management to ongoing Aftercare services and support.
In 2025, we have been awarded


✓ Best Performing Partner in Australia for S/4 HANA Public Cloud
✓ Best Performing Partner in Australia for Speed of Delivery
✓ Best Performing Partner in Mid-Market
✓ Highest Selling Partner in Australia

About the Role:
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.

Your tasks and responsibilities:

  • 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

Your qualifications and experience:

  • 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

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
  • Join a renowned organisation delivering projects to some of Australia’s leading enterprises

DyFlex is committed to providing a safe, flexible and respectful environment for staff free from all forms of discrimination, bullying and harassment. We are proud of our diverse and inclusive team as only together we can continually improve ourselves and achieve best outcomes for our customers– we are the region's leading SAP Platinum Partner!

Please note that we can’t offer sponsorship for this role and we expect a clear statement about your legal rights in Australia, especially if you are applying from overseas.