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.
n
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.
n
Compensation
n
Base pay range: A$600.00/daily - A$700.00/daily
n
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.
n
Key Responsibilities
n
n
- Build and maintain data pipelines and processing solutions using AWS and Databricks.
n
- Collaborate with team members and stakeholders to understand business requirements.
n
- Support the implementation of scalable, secure, and high-performing data solutions.
n
- Assist in troubleshooting and resolving platform or data pipeline issues.
n
- Contribute to the documentation and governance of data processes and standards.
n
- Learn and apply best practices under the guidance of senior engineers.
n
n
What Success Looks Like
n
n
- Delivery of reliable, well-documented data pipelines.
n
- Growth in technical skills, particularly in AWS and Databricks.
n
- Positive collaboration within a high-performing team.
n
- Contributing to scalable and secure enterprise data solutions.
n
n
Skills & Experience
n
n
- 1-3 years of experience in data engineering or similar role.
n
- Knowledge of AWS Cloud Services and Databricks (or strong interest in learning).
n
- Experience with SQL and at least one programming language (e.g., Python).
n
- Understanding of data pipelines, ETL processes, and data modelling concepts.
n
- Strong problem-solving skills and eagerness to learn.
n
- Experience in enterprise or consultancy environments.
n
- Knowledge of data governance, compliance, and security best practices.
n
- Familiarity with Azure, GCP, or other cloud platforms.
n
- Competitive salary or daily rate options available.
n
- Work alongside senior engineers and accelerate your career growth.
n
- Gain exposure to large-scale, enterprise-level data projects.
n
- Collaborative consultancy workplace with structured mentorship.
n
- Hybrid work options for flexibility and work-life balance.
n
- Opportunity to develop AWS and Databricks expertise.
n
n
If you're interested in hearing more about this opportunity Apply Now! or email your CV to
[email protected]
n
Location
n
Brisbane, Queensland, Australia
n
Additional notes
n
Referrals increase your chances of interviewing at Talent by 2x
#J-18808-Ljbffr
📌 Mid-Junior Data Engineer (Queensland)
🏢 Talent
📍 Queensland