Adapt/ Data Engineer

Summary

Designs and builds scalable data pipelines and platforms for enterprise analytics, specializing in Spark, Kafka, and cloud-based solutions like Azure Synapse.

ADAPT Engineer (Data Engineering & Solution Design)

  • Sydney, NSW (Hybrid Working Environment)
  • 6-Month Contract
  • Approx. $80 per hour (Inclusive of Super)

We are partnering with a leading enterprise organisation to engage an experienced ADAPT Engineer to join a high-performing data and analytics team. This role will suit a hands-on engineerwho enjoys designing and delivering scalable data solutions while providing technical leadership across complex projects.

About the Role

You will play a key role in the design, development, testing and support of modern data platforms and pipelines. Working across large-scale data initiatives, you will contribute to solution design, mentor team members, and help deliver high-quality data products that support critical business outcomes.

Key Responsibilities

  • Design, develop, test and support scalable data solutions and pipelines.
  • Produce detailed solution designs and provide technical leadership to engineers and testers.
  • Develop end-to-end batch and near real-time data processing solutions.
  • Build and maintain data pipelines using Spark, Scala/PySpark, Python and Azure Synapse.
  • Design and implement distributed streaming solutions using Apache Kafka.
  • Contribute to proof-of-concepts, technical demonstrations and solution workshops.
  • Mentor junior team members and promote engineering best practices.
  • Collaborate with stakeholders across architecture, engineering and delivery teams.

Skills & Experience

To be successful in this role, you will have:

  • 5+ years' experience as a Solution Designer, Technical Lead, Developer, Tester or Support Engineer within technology or consulting environments.
  • Strong hands-on experience with Scala, Python, SQL and scripting technologies.
  • Expertise in Apache Kafka design and development.
  • Experience developing data pipelines using Spark, PySpark and Azure Synapse.
  • Knowledge of modern data architectures, cloud platforms and big data technologies.
  • Experience with NoSQL databases and near real-time data processing.
  • Understanding of data modelling techniques including dimensional and relational modelling.
  • Exposure to Data Mesh architecture and data product concepts.
  • Experience working with cloud platforms such as Azure, AWS or GCP.
  • Strong stakeholder engagement, communication and presentation skills.

What's on Offer?

  • Immediate start opportunity.
  • 6-month initial contract.
  • Approx. $80 per hour inclusive of superannuation.
  • Sydney-based engagement.
  • Opportunity to work on large-scale enterprise data initiatives.
  • Collaborative and supportive team environment.

If you're a strong Data Engineer or Technical Lead with a passion for modern data platforms and streaming technologies, we'd love to hear from you.

Candidates will need to be willing to undergo pre-employment screening checks which may include, ID and work rights, security clearance verification and any other client requested checks.

See also

Data Engineering jobs by country — openings, pay and top skills →

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