Data Engineer
2 weeks ago
Role Summary
We are looking for a Data Engineer to come work within our clients Data & AI team, you'll play a key role in designing, building, and maintaining scalable data pipelines and modern data platforms. Your work will enable advanced analytics, AI/ML models, and cloud solutions that drive measurable business outcomes for our consulting client. Collaborating with cross-functional teams, you'll transform complex business challenges into technical solutions using leading-edge tools and technologies.
Permanent Contract Summary
Salary: Based on experience
Work model: Hybrid
Citizenship: Preferred if citizen or holding a clearance
Location: Canberra
Responsibilities
- Design and build scalable data platforms using technologies like Databricks, Snowflake, and cloud-native stacks
- Develop data models, pipelines, and cloud-based AI/ML solutions to address complex business challenges
- Apply strong problem-solving skills using Python, SQL, AWS, Azure, and GCP
- Collaborate with stakeholders to gather requirements and deliver fit-for-purpose technical solutions
- Contribute to agile project delivery, including testing and deployment of data solutions
- Translate business needs into technical solutions and participate in stakeholder discussions
- Stay current with emerging trends in data engineering, ML, and GenAI, and contribute to innovation initiatives
Skills & Experience
Required:
- Hands-on experience in Data and/or ML Engineering with Python or SQL (DBT highly regarded)
- Proven experience with real-world data engineering, predictive analytics, ML, or Generative AI using LLMs
- Proficiency with at least one programming language (e.g. Python, Java, C++)
- Experience with ETL tools, data integration, automation frameworks (e.g. Airflow, Terraform, Python)
- Familiarity with data architectures and concepts like data mesh, fabric, medallion architecture
- Experience with relational and non-relational databases, data lakes, and warehouses
- Strong communication, stakeholder engagement, and problem-solving capabilities
- Ability to manage competing priorities and deliver high-quality outcomes under tight deadlines
Desirable:
- Experience delivering AI/ML and GenAI solutions using AWS, Azure, GCP, Databricks, or Snowflake
- Public sector or government project experience
- Consulting or client-facing background
- Relevant technical certifications (e.g. AWS Certified Data Analytics, Azure Data Engineer Associate)
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