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DyFlex Solutions Logo DyFlex Solutions · IT - Software Development

Consulting AI / Data Engineer

Australia, Sydney · Job Posted December 08, 2025
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Job Description

As a Consulting AI / Data Engineer, you will design, build, and optimise enterprise-scale data solutions, helping our clients unlock the value of their data and accelerate performance. This role blends hands-on technical delivery with client-facing consulting, giving you the opportunity to shape scalable solutions using Databricks, cloud platforms, and modern data engineering practices. You’ll play a key role in building DyFlex’s emerging Data and AI capability, ensuring our clients achieve meaningful business outcomes through innovative data solutions.

Job Responsibility

  • Build and maintain scalable data pipelines for ingesting, transforming, and delivering data
  • Manage and optimise databases, warehouses, and cloud storage solutions
  • Implement data quality frameworks and testing processes to ensure reliable systems
  • Design and deliver cloud-based solutions (AWS, Azure, or GCP)
  • Take technical ownership of project components and lead small development teams
  • Engage directly with clients, translating business requirements into technical solutions
  • Champion best practices including version control, CI/CD, and infrastructure as code

Requirements

  • Hands-on data engineering experience in production environments
  • Strong proficiency in Python and SQL
  • Experience with at least one additional language (e.g. Java, Typescript/Javascript)
  • Experience with modern frameworks such as Apache Spark, Airflow, dbt, Kafka, or Flink
  • Background in building ML pipelines, MLOps practices, or feature stores is highly valued
  • Proven expertise in relational databases, data modelling, and query optimisation
  • Demonstrated ability to solve complex technical problems independently
  • Excellent communication skills with ability to engage clients and stakeholders
  • Degree in Computer Science, Engineering, Data Science, Mathematics, or a related field

Nice to have

Background in building ML pipelines, MLOps practices, or feature stores

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, remote working, additional purchased leave, and company-provided laptop
  • 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 mentoring from senior engineers
  • Exposure to diverse industries and client environments
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