Senior Data Pipeline Engineer

Talent International — Australia · Posted ~3 hours ago

Senior Contract

Skills

AWS Data pipeline design ETL Data processing Data integration MFT API integration Automation Pipeline testing Pipeline deployment APIs Streaming

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Summary ✨ AI‑Generated

Take on a senior, hands-on data engineering position focused on designing, building, testing, and optimizing cloud-based data pipelines. You will work across APIs, managed file transfer, file extracts, ETL, data processing, automation, and streaming, primarily using AWS, while partnering with data scientists, analysts, and technical specialists.

Highlights

Senior hands-on data engineering role with a 12-month contract and optional 12-month extension. Work on complex AWS data pipelines, scalable ETL, automation, and secure data integration alongside technical and data specialists.

Description

Design and build complex AWS data pipelines across APIs, MFT, ETL and streaming12-month contract + 12-month extension optionAustralian citizenship required | Must be able to obtain NV1 clearance Take on a senior, hands-on data engineering role focused on designing, building and optimising the pipelines that move data across a complex cloud environment. You'll work primarily across AWS data services, ETL, data processing and automation, building scalable pipelines while working closely with data scientists, analysts and technical specialists to ensure data remains secure, reliable and accessible. The Role As a Senior Data Pipeline Engineer, you'll provide hands-on technical expertise across the design and implementation of cloud-based data pipelines. Your responsibilities will include: Designing, building, testing and deploying pipelines across MFT, APIs, file extracts and other integration patternsBuilding and maintaining AWS-based ETL and data processing solutions, including AWS GlueDeveloping data processing streams using technologies such as AWS KinesisImplementing appropriate security and access controls across data pipelinesAutomating and optimising pipeline delivery using Terraform, scripting and contemporary engineering practices About You We're particularly interested in: 5+ years' Data Pipeline Engineering experience within cloud environmentsStrong AWS experience across data storage, extraction, transformation and processingExperience designing and delivering different pipeline patterns, including MFT, APIs and file extractsExperience with ETL technologies such as AWS Glue, Informatica, dbt or TalendStrong SQL skills and practical understanding of cloud data architectureExperience with Terraform and Agile delivery methodologiesExperience with GoAnywhere MFT, Control-M, GitHub, Bitbucket and CI/CD automation would be highly regarded. Why Consider the Opportunity? There's good technical variety in this one. Rather than being focused solely on traditional ETL, you'll work across APIs, managed file transfer, streaming, cloud data processing, security and automation, with ownership across the pipeline lifecycle from design through to deployment and optimisation. It's particularly suited to someone who enjoys staying hands-on while taking greater ownership of how data moves securely and reliably across a large cloud environment. Interested? Click APPLY to send through your resume. If your experience aligns, I'll be in touch to talk you through the opportunity, provide further context on the role and working environment, and discuss the submission process and next steps. For a confidential discussion, contact Jaela Smith at Talent International on 0480 806 146 or jaela.smith@talentinternational.com. For over 30 years Talent has been redefining the contracting experience with industry leading support, exclusive contractor benefits & a world-class digital platform ENGAGE to access it all. Apply today to see how we can elevate your career