Mid-Junior Data Engineer

Talent International; City of Brisbane; Hybrid; AUD 80,000 - 100,000; Full time

Job summary

A well-regarded consultancy is seeking a Mid-Junior Data Engineer to work on enterprise-scale data solutions in Brisbane. In this role, you'll design, build, and maintain data pipelines using AWS and Databricks while collaborating with a high-performing team. Ideal candidates will have 1-3 years of experience in data engineering and be eager to develop their skills further. This position offers a competitive salary, hybrid work options, and a chance to work on large-scale projects under mentorship.

Benefits

Competitive salary or daily rate options

Work alongside senior engineers

Collaborative consultancy environment

Hybrid work options

Opportunity to develop AWS and Databricks expertise

Qualifications

• 1-3 years of experience in data engineering or similar role.
• Strong interest in learning AWS and Databricks.
• Understanding of data pipelines and ETL processes.

Responsibilities

• Build and maintain data pipelines and processing solutions using AWS and Databricks.
• Collaborate with team members to understand business requirements.
• Support the implementation of scalable, secure, and high-performing data solutions.

Skills

AWS Cloud Services

Databricks

SQL

Python

Data pipelines

ETL processes

Problem-solving

Job description

Grow your career working with cutting-edge cloud data platforms

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.

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

Essential :

• 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.

Desirable :

• Experience in enterprise or consultancy environments.
• Knowledge of data governance, compliance, and security best practices.
• Familiarity with Azure, GCP, or other cloud platforms.

Benefits

• 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].