{"schemaVersion":"jobsearcher.job.v1","id":"93dcf0bd0ce8d95c5f81d3f7","url":"https://jobsearcher.com/jobs/93dcf0bd0ce8d95c5f81d3f7","canonicalUrl":"https://jobsearcher.com/jobs/93dcf0bd0ce8d95c5f81d3f7","title":"Senior Data Engineer","description":"Senior Data Platform Engineer\r\nSimple Machines\r\nHybrid · Full-time · Sydney (ANZ)\r\nWho We Are\r\nSimple Machines is a global, independent technology consultancy operating across London, Poland, Sydney, San Francisco, and New Zealand. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of data engineering, AI, and software engineering .\r\nWe work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle.\r\nWe don't do generic. We build things that matter - We engineer data to life™.\r\nThe Role\r\nThis is a hands-on senior engineering role , not an architecture-only seat and not a support function.\r\nYou'll design and build greenfield data platforms , real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high-calibre teams and operate close to both the problem and the client.\r\nIf you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes — this is your lane.\r\nWhat You'll Be Doing\r\nBuild Modern Data Platforms\r\nDesign and deliver cloud-native data platforms using Databricks, Snowflake, AWS, and GCP\r\nApply modern architectural patterns: data mesh, data products, and data contracts\r\nIntegrate deeply with client systems to enable scalable, consumer-oriented data access\r\nDevelop High-Performance Pipelines\r\nBuild and optimise batch and real-time pipelines\r\nWork with streaming and event-driven tech such as Kafka, Flink, Kinesis, Pub/Sub\r\nOrchestrate workflows using Airflow, Dataflow, Glue\r\nWork at Scale\r\nProcess and transform large datasets using Spark and Flink\r\nDesign systems that perform in production — not just on paper\r\nOwn Data Storage & Performance\r\nWork across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB)\r\nOptimise storage formats and access patterns (Parquet, Delta, ORC, Avro)\r\nCloud, Security & Governance\r\nImplement secure, compliant data solutions with security by design\r\nEmbed governance without killing developer velocity\r\nConsult and Influence\r\nWork directly with clients to understand problems and shape solutions\r\nTranslate business needs into pragmatic engineering decisions\r\nAct as a trusted technical advisor, not just an order taker\r\nWhat We're Looking For\r\nCore Engineering Strength\r\nStrong Python and SQL\r\nDeep experience with Spark and modern data platforms (Databricks / Snowflake)\r\nSolid grasp of cloud data services (AWS or GCP)\r\nData Platform Experience\r\nBuilt and operated large-scale data pipelines in production\r\nStrong data modelling capability and architectural judgement\r\nComfortable with multiple storage technologies and formats\r\nEngineering Discipline\r\nInfrastructure-as-code experience ( Terraform, Pulumi )\r\nCI/CD pipelines using tools like GitHub Actions, ArgoCD\r\nData testing and quality frameworks ( dbt, Great Expectations, Soda )\r\nNice to Have\r\nJVM or systems languages ( Scala, Java, Go, Rust )\r\nGraph or specialised stores (Neo4j, Cassandra)\r\nDelivery & Consulting Mindset\r\nExperience in consulting or professional services environments\r\nComfortable working in agile teams\r\nAble to engage stakeholders and drive outcomes, not just ship code\r\nWhy Simple Machines\r\nYou'll work on interesting, high-impact problems\r\nYou'll build modern platforms , not maintain legacy mess\r\nYou'll be surrounded by senior engineers who actually know their craft\r\nYou'll have autonomy, influence, and room to grow\r\nIf you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes — we should talk.\r\nJ-18808-Ljbffr","company":"Internetwork Expert","rawCompany":"internetwork expert","city":"Snowflake","state":"AZ","isRemote":false,"isActive":false,"createdAt":"2026-04-09T15:27:41.633Z","occupations":[{"code":"15-1243.01","title":"Data Warehousing Specialists","slug":"data-warehousing-specialists"},{"code":"15-1252.00","title":"Software Developers","slug":"software-developers"},{"code":"15-1299.08","title":"Computer Systems Engineers/Architects","slug":"computer-systems-engineers-architects"}],"industries":[{"code":"541512","title":"Computer Systems Design Services","slug":"computer-systems-design-services"},{"code":"541511","title":"Custom Computer Programming Services","slug":"custom-computer-programming-services"},{"code":"513210","title":"Software Publishers","slug":"software-publishers"}],"jobPosting":{"@context":"https://schema.org","@type":"JobPosting","title":"Senior Data Engineer","description":"Senior Data Platform Engineer\r\nSimple Machines\r\nHybrid · Full-time · Sydney (ANZ)\r\nWho We Are\r\nSimple Machines is a global, independent technology consultancy operating across London, Poland, Sydney, San Francisco, and New Zealand. We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of data engineering, AI, and software engineering .\r\nWe work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle.\r\nWe don't do generic. We build things that matter - We engineer data to life™.\r\nThe Role\r\nThis is a hands-on senior engineering role , not an architecture-only seat and not a support function.\r\nYou'll design and build greenfield data platforms , real-time pipelines, and data products for clients who are serious about using data properly. You'll work in small, high-calibre teams and operate close to both the problem and the client.\r\nIf you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes — this is your lane.\r\nWhat You'll Be Doing\r\nBuild Modern Data Platforms\r\nDesign and deliver cloud-native data platforms using Databricks, Snowflake, AWS, and GCP\r\nApply modern architectural patterns: data mesh, data products, and data contracts\r\nIntegrate deeply with client systems to enable scalable, consumer-oriented data access\r\nDevelop High-Performance Pipelines\r\nBuild and optimise batch and real-time pipelines\r\nWork with streaming and event-driven tech such as Kafka, Flink, Kinesis, Pub/Sub\r\nOrchestrate workflows using Airflow, Dataflow, Glue\r\nWork at Scale\r\nProcess and transform large datasets using Spark and Flink\r\nDesign systems that perform in production — not just on paper\r\nOwn Data Storage & Performance\r\nWork across relational, NoSQL, and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB)\r\nOptimise storage formats and access patterns (Parquet, Delta, ORC, Avro)\r\nCloud, Security & Governance\r\nImplement secure, compliant data solutions with security by design\r\nEmbed governance without killing developer velocity\r\nConsult and Influence\r\nWork directly with clients to understand problems and shape solutions\r\nTranslate business needs into pragmatic engineering decisions\r\nAct as a trusted technical advisor, not just an order taker\r\nWhat We're Looking For\r\nCore Engineering Strength\r\nStrong Python and SQL\r\nDeep experience with Spark and modern data platforms (Databricks / Snowflake)\r\nSolid grasp of cloud data services (AWS or GCP)\r\nData Platform Experience\r\nBuilt and operated large-scale data pipelines in production\r\nStrong data modelling capability and architectural judgement\r\nComfortable with multiple storage technologies and formats\r\nEngineering Discipline\r\nInfrastructure-as-code experience ( Terraform, Pulumi )\r\nCI/CD pipelines using tools like GitHub Actions, ArgoCD\r\nData testing and quality frameworks ( dbt, Great Expectations, Soda )\r\nNice to Have\r\nJVM or systems languages ( Scala, Java, Go, Rust )\r\nGraph or specialised stores (Neo4j, Cassandra)\r\nDelivery & Consulting Mindset\r\nExperience in consulting or professional services environments\r\nComfortable working in agile teams\r\nAble to engage stakeholders and drive outcomes, not just ship code\r\nWhy Simple Machines\r\nYou'll work on interesting, high-impact problems\r\nYou'll build modern platforms , not maintain legacy mess\r\nYou'll be surrounded by senior engineers who actually know their craft\r\nYou'll have autonomy, influence, and room to grow\r\nIf you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes — we should talk.\r\nJ-18808-Ljbffr","datePosted":"2026-04-09T15:27:41.633Z","dateModified":"2026-04-09T15:27:41.633Z","hiringOrganization":{"@type":"Organization","name":"Internetwork Expert","sameAs":"https://jobsearcher.com"},"jobLocation":{"@type":"Place","address":{"@type":"PostalAddress","addressLocality":"Snowflake","addressRegion":"AZ","addressCountry":"US"}},"identifier":{"@type":"PropertyValue","name":"JobSearcher","value":"93dcf0bd0ce8d95c5f81d3f7"},"url":"https://jobsearcher.com/jobs/93dcf0bd0ce8d95c5f81d3f7"}}