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 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.
Tasks
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
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, 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
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.