At a Glance
- Tasks: Build and maintain data pipelines using AWS and Databricks while collaborating with a dynamic team.
- Company: Join a well-regarded consultancy known for its collaborative culture and innovative projects.
- Benefits: Competitive daily rate, hybrid work options, and structured mentorship for career growth.
- Other info: Exciting opportunity to develop skills in modern data practices and cloud technologies.
- Why this job: Gain hands-on experience with enterprise-scale data solutions and learn from senior engineers.
- Qualifications: 1-3 years in data engineering, knowledge of AWS, SQL, and programming languages like Python.
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
- Location
- Brisbane, Queensland, Australia
- Additional notes
- Referrals increase your chances of interviewing at Talent by 2x
- #J-18808-Ljbffr
Mid-Junior Data Engineer employer: Talent
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