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 stacksDevelop data models, pipelines, and cloud-based AI/ML solutions to address complex business challengesApply strong problem-solving skills using Python, SQL, AWS, Azure, and GCPCollaborate with stakeholders to gather requirements and deliver fit-for-purpose technical solutionsContribute to agile project delivery, including testing and deployment of data solutionsTranslate business needs into technical solutions and participate in stakeholder discussionsStay current with emerging trends in data engineering, ML, and GenAI, and contribute to innovation initiativesSkills & 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 LLMsProficiency 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 architectureExperience with relational and non-relational databases, data lakes, and warehousesStrong communication, stakeholder engagement, and problem-solving capabilitiesAbility to manage competing priorities and deliver high-quality outcomes under tight deadlinesDesirable: Experience delivering AI/ML and GenAI solutions using AWS, Azure, GCP, Databricks, or SnowflakePublic sector or government project experienceConsulting or client-facing backgroundRelevant technical certifications (e.g.
AWS Certified Data Analytics, Azure Data Engineer Associate) #J-18808-Ljbffr