Consulting AI / Data Engineer Jobs

DyFlex Solutions

Location:
Australia, Sydney

Category:
IT - Software Development

Contract Type:
Not provided

Salary:

Not provided

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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

Additional Information:

Job Posted:
December 08, 2025

Employment Type:

Fulltime

Work Type:

Hybrid work

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Consulting AI / Data Engineer