Hybrid Melbourne Data Engineer: Scalable Pipelines

Mindrift; Melbourne; Hybrid; AUD 120,000 - 140,000; Full time

Benefits offered by this job

Hybrid work

Flexible schedule

25 days annual leave

Half-Day Friday

Parental leave 15w/5w

Employee assistance program

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Job summary

Allume, based in Melbourne, Victoria, is seeking a skilled Data Engineer to design, build and maintain robust data pipelines and architectures for data-driven decision making. This permanent, full-time role focuses on enabling operational efficiency across automotive data streams.

You will collaborate with data scientists and analysts, ensure data quality, monitor performance, and document data architecture.

Qualifications

• Bachelor’s degree in Computer Science, Engineering, or a related field.
• 3‑5 years of experience in data engineering or a similar role.
• Proficiency in programming languages such as Python, Java, or Scala.
• Experience with data warehousing solutions and ETL processes.
• Familiarity with cloud platforms (e.g., AWS, Azure) and big data technologies (e.g., Hadoop, Spark).
• Strong analytical and problem‑solving skills.
• Excellent communication and teamwork abilities.

Responsibilities

• Design and implement scalable data pipelines to support data ingestion and processing.
• Collaborate with data scientists and analysts to understand data requirements and deliver solutions.
• Ensure data quality and integrity through rigorous testing and validation processes.
• Monitor and optimise data systems for performance and reliability.
• Document data architecture and processes to ensure clarity and compliance.
• Stay updated with industry trends and technologies to continuously improve data engineering practices.

Skills

Python

Java

Scala

Education

Bachelor's degree in Computer Science, Engineering, or a related field

Tools

AWS

Azure

Hadoop

Spark

Job description

Allume, based in Melbourne, Victoria, is seeking a skilled Data Engineer to design, build and maintain robust data pipelines and architectures for data-driven decision making. This permanent, full-time role focuses on enabling operational efficiency across automotive data streams.

You will collaborate with data scientists and analysts, ensure data quality, monitor performance, and document data architecture.