IntroductionA career in IBM Consulting is built on long-term client relationships and close collaboration worldwide.
You'll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys.
With support from our strategic partners, robust IBM technology, and Red Hat, you'll have the tools to drive meaningful change and accelerate client impact.
At IBM Consulting, curiosity fuels success.
You'll be encouraged to challenge the norm, explore new ideas, and create creative solutions that deliver real results.
Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.Your Role And ResponsibilitiesWe are looking for a skilled and motivated Data Engineer to join our team.
In this role, you will design, build, and maintain scalable data pipelines and infrastructure that support analytics, reporting, and data-driven decision-making across the organization.
You will work closely with data analysts, data scientists, software engineers, and business stakeholders to ensure reliable and efficient access to high-quality data.Your Primary Responsibilities Will IncludeDesign, develop, and maintain scalable ETL/ELT pipelinesBuild and optimize data models, data warehouses, and data lakesIntegrate data from multiple internal and external sourcesEnsure data quality, consistency,



and reliability across systemsMonitor and troubleshoot pipeline and platform issuesImprove data processing performance and cost efficiencyCollaborate with cross-functional teams to understand data requirementsImplement and maintain data governance, security, and compliance standardsDocument data architecture, workflows, and best practicesRequired Technical And Professional ExpertiseBachelor's degree in Computer Science, Engineering, Information Systems, or related field, or equivalent practical experience3–5 years of experience in data engineering or a related fieldStrong proficiency in SQL and PythonExperience building and maintaining ETL/ELT pipelinesHands-on experience with cloud platforms such as AWS, GCP, or AzureFamiliarity with data warehousing concepts and toolsExperience with workflow orchestration tools such as Airflow or similarUnderstanding of database technologies, including relational and NoSQL databasesKnowledge of version control and CI/CD practicesStrong problem-solving and communication skillsPreferred Technical And Professional ExperienceExperience with big data technologies such as Spark, Kafka, or HadoopFamiliarity with modern data stack tools such as dbt, Snowflake, BigQuery, or RedshiftExperience with containerization tools such as Docker and KubernetesUnderstanding of data governance and security best practicesExperience supporting analytics or machine learning workloads
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📌 Data Engineer (Melbourne)
🏢 Ibm
📍 Melbourne