Data Engineer II leading development and delivery of data pipelines for Syneos Health. Collaborating with teams to optimize data processing and integrate solutions into production environments.
About the role
- Principal Consulting AI / Data Engineer designing, building, and optimising data and AI solutions at DyFlex Solutions. Leading engagements with executives and mentoring teams in data engineering best practices.
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
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
Benefits
- 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
Job title
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