Principal Consulting AI / Data Engineer

• 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

• 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

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

• 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