Job Description
Melbourne
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About the Opportunity
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Join a large, well-known Australian organisation that is investing heavily in its cloud data platform and contemporary data capabilities. This is an opportunity to play a key role in shaping the future of enterprise data, helping to build the foundations that enable smarter decision‐making, innovation, and scalable analytics across the business.
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You'll be joining a collaborative engineering team responsible for evolving a modern cloud‐based data platform, designing robust data solutions, and driving best practice across Data Engineering and DataOps.
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This role offers the chance to influence architecture, improve engineering standards, and work on large‐scale, business‐critical data initiatives using modern cloud technologies.
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The Role
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As a Senior Data Engineer, you'll be responsible for designing, building, and maintaining scalable cloud data solutions that support analytics, reporting, and operational decision‐making across the organisation.
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Working closely with engineers, architects, and business stakeholders, you'll help deliver reliable, secure, and high‐performing data platforms while contributing to the ongoing evolution of engineering standards and best practices.
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Key Responsibilities
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Design, build and maintain scalable, high‐performance data pipelines.
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Develop and enhance enterprise cloud data platforms and modern data architecture.
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Drive Data Engineering and DataOps best practices to improve reliability, quality, automation, and delivery.
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Influence architectural decisions with a focus on scalability, performance, maintainability, and cost optimisation.
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Implement data quality, monitoring, testing, and observability frameworks.
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Embed governance, security, and compliance into platform design.
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Collaborate with business stakeholders to deliver trusted, fit‐for‐purpose data solutions.
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Mentor engineers and provide technical leadership across the wider team.
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Document data lineage, metadata, and technical specifications to support governance and discoverability.
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Support secure access controls and enterprise data security practices.
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About You
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You'll be an experienced Senior Data Engineer who enjoys solving complex technical challenges while helping shape modern engineering practices within an enterprise environment.
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You'll ideally bring experience across:
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Designing and delivering cloud‐based data platforms at enterprise scale.
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Modern data warehousing technologies, ideally Snowflake.
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ELT/ETL development and orchestration tools such as Airflow and Fivetran.
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Strong SQL and Python development skills.
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DataOps practices including Git, CI/CD,



automated testing, and deployment.
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Data governance, metadata management, lineage, and security.
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Cloud platforms, preferably AWS, with exposure to services such as S3, Lambda, IAM, networking, and managed Airflow.
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Working with distributed data architectures, lakehouse or data warehouse environments.
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Leading technical initiatives and collaborating with both technical and business stakeholders.
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Exposure to technologies such as Apache NiFi or similar ingestion frameworks would be advantageous.
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What We're Looking For
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Demonstrated experience as a Senior Data Engineer within a large‐scale or complex environment.
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Strong communication and stakeholder engagement skills.
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Experience influencing engineering standards and technical direction.
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Relevant tertiary qualifications or equivalent commercial experience.
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Cloud or data platform certifications (Snowflake, AWS or similar) will be highly regarded.
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Why Apply?
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This is an opportunity to work on a modern cloud data platform that sits at the heart of a large enterprise's digital transformation. You'll have the chance to influence architecture, work with modern technologies, collaborate with experienced engineers, and contribute to projects that have a genuine impact across the organisation.
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If you're passionate about building scalable data platforms and enjoy solving complex engineering challenges, we'd love to hear from you.
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📌 Senior Data Engineer (Victoria)
🏢 Talent Insights Group
📍 Victoria