Data Engineer

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.

Your tasks and responsibilities:

• 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

Your qualifications and experience:

• 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

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

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.