Senior Data Engineer - Enterprise Data PlatformsWho We AreSimple Machines is a global, independent technology consultancy operating across Sydney, New Zealand, London, Poland and San Francisco.
We design and build modern data platforms, intelligent systems, and bespoke software at the intersection of Data Engineering, Software Engineering and AI.We work with enterprises, scale-ups, and government to turn messy, high-value data into products, platforms, and decisions that actually move the needle.We don't do generic.
We build things that matter - We engineer data to life.The RoleThis is a hands-on senior engineering role, not an architecture-only seat and not a support function.You'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.If you enjoy solving hard data problems, shaping modern architectures (data mesh, data products, contracts), and delivering real outcomes - this is your lane.What You'll Be DoingBuild Modern Data PlatformsDesign and deliver cloud-native data platforms using Databricks, Snowflake, AWS, and GCPApply modern architectural patterns: data mesh, data products, and data contractsIntegrate deeply with client systems to enable scalable, consumer-oriented data accessDevelop High-Performance PipelinesBuild and optimise batch and real-time pipelinesWork with streaming and event-driven tech such as Kafka, Flink, Kinesis, Pub/SubOrchestrate workflows using Airflow, Dataflow, GlueWork at ScaleProcess and transform large datasets using Spark and FlinkDesign systems that perform in production - not just on paperOwn Data Storage & PerformanceWork across relational, NoSQL,



and analytical stores (Postgres, BigQuery, Snowflake, Cassandra, MongoDB)Optimise storage formats and access patterns (Parquet, Delta, ORC, Avro)Cloud, Security & GovernanceImplement secure, compliant data solutions with security by designEmbed governance without killing developer velocityConsult and InfluenceWork directly with clients to understand problems and shape solutionsTranslate business needs into pragmatic engineering decisionsAct as a trusted technical advisor, not just an order takerWhat We're Looking ForCore Engineering StrengthStrong Python and SQLDeep experience with Spark and modern data platforms (Databricks / Snowflake)Solid grasp of cloud data services (AWS or GCP)Data Platform ExperienceBuilt and operated large-scale data pipelines in productionStrong data modelling capability and architectural judgementComfortable with multiple storage technologies and formatsEngineering DisciplineInfrastructure-as-code experience (Terraform, Pulumi)CI/CD pipelines using tools like GitHub Actions, ArgoCDData testing and quality frameworks (dbt, Great Expectations, Soda)Nice to HaveJVM or systems languages (Scala, Java, Go, Rust)Graph or specialised stores (Neo4j, Cassandra)Delivery & Consulting MindsetExperience in consulting or professional services environmentsComfortable working in agile teamsAble to engage stakeholders and drive outcomes, not just ship codeWhy Simple MachinesYou'll work on interesting, high-impact problemsYou'll build contemporary platforms, not maintain legacy messYou'll be surrounded by senior engineers who actually know their craftYou'll have autonomy, influence, and room to growIf you're a senior data engineer who wants to build properly, think clearly, and deliver real outcomes - we should talk.
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📌 Senior Data Platforms Engineer (Databricks, Gcp, Aws) (Sydney)
🏢 Simple Machines
📍 Sydney