Mid-Junior Data Engineer

Talent; City of Brisbane; Hybrid; AUD 110,700 - 129,150; Full time

Benefits offered by this job

Competitive salary or daily rate

Structured mentorship

Hybrid work options

Job summary

A well-regarded consultancy is seeking a Mid-Junior Data Engineer to build and maintain data pipelines using AWS and Databricks. This role offers an opportunity to grow technically within a collaborative team, contributing to large-scale projects. Candidates should have 1-3 years of experience, knowledge of SQL, and an eagerness to learn. The position includes hybrid work options, structured mentorship, and competitive pay.

Qualifications

• 1-3 years of experience in data engineering or similar role.
• Understanding of data pipelines, ETL processes, and data modeling concepts.
• Knowledge of data governance, compliance, and security best practices.

Responsibilities

• Build and maintain data pipelines and processing solutions using AWS and Databricks.
• Collaborate with team members to understand business requirements.
• Contribute to the documentation and governance of data processes.

Skills

Data engineering

AWS Cloud Services

Databricks

SQL

Python

Problem-solving skills

Job description

We are looking for a Mid-Junior Data Engineer to join a well-regarded consultancy and work on enterprise-scale data solutions. This is a fantastic opportunity for a data professional eager to develop their skills in AWS and Databricks, while contributing to exciting, large-scale projects and learning from experienced senior engineers.

You'll be working closely with a collaborative team to design, build, and maintain data pipelines, while gaining exposure to modern data practices and cloud technologies.

Compensation

Base pay range: A$600.00/daily - A$700.00/daily

Note: This range is provided by Talent. Your actual pay will be based on your skills and experience — talk with your recruiter to learn more.

Key Responsibilities

• Build and maintain data pipelines and processing solutions using AWS and Databricks.
• Collaborate with team members and stakeholders to understand business requirements.
• Support the implementation of scalable, secure, and high-performing data solutions.
• Assist in troubleshooting and resolving platform or data pipeline issues.
• Contribute to the documentation and governance of data processes and standards.
• Learn and apply best practices under the guidance of senior engineers.

What Success Looks Like

• Delivery of reliable, well-documented data pipelines.
• Growth in technical skills, particularly in AWS and Databricks.
• Positive collaboration within a high-performing team.
• Contributing to scalable and secure enterprise data solutions.

Skills & Experience

• 1-3 years of experience in data engineering or similar role.
• Knowledge of AWS Cloud Services and Databricks (or strong interest in learning).
• Experience with SQL and at least one programming language (e.g., Python).
• Understanding of data pipelines, ETL processes, and data modelling concepts.
• Strong problem-solving skills and eagerness to learn.
• Experience in enterprise or consultancy environments.
• Knowledge of data governance, compliance, and security best practices.
• Familiarity with Azure, GCP, or other cloud platforms.
• Competitive salary or daily rate options available.
• Work alongside senior engineers and accelerate your career growth.
• Gain exposure to large-scale, enterprise-level data projects.
• Collaborative consultancy environment with structured mentorship.
• Hybrid work options for flexibility and work-life balance.
• Opportunity to develop AWS and Databricks expertise.

If you're interested in hearing more about this opportunity Apply Now! or email your CV to [e-mail]

Location

Brisbane, Queensland, Australia

Additional notes

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