Data Warehouse Engineer

Data Warehouse Engineer

Design and maintain robust data warehousing solutions to support data analysis and reporting.

Data Platform
Job Family
AU$120k
Salary
Average salary in Australia
9%
Job Growth
The number of positions relative to last year
26
Open Roles
Job openings on Alooba Jobs

Data Warehouse Engineers specialize in designing, developing, and maintaining data warehouse systems that allow for the efficient integration, storage, and retrieval of large volumes of data. They ensure data accuracy, reliability, and accessibility for business intelligence and data analytics purposes. Their role often involves working with various database technologies, ETL tools, and data modeling techniques. They collaborate with data analysts, IT teams, and business stakeholders to understand data needs and deliver scalable data solutions.

What are the typical responsibilities & duties of a Data Warehouse Engineer

  • Design, develop, and maintain data warehouse systems and solutions
  • Ensure data accuracy, integrity, and compliance with relevant standards
  • Optimize data warehousing processes for improved performance and efficiency
  • Collaborate with IT teams and business stakeholders to understand data requirements
  • Implement ETL processes for data integration from multiple sources
  • Monitor and troubleshoot data warehouse performance issues
  • Develop and maintain data models and database designs
  • Conduct data analysis to identify trends, anomalies, and data quality issues
  • Collaborate on cross-functional projects and provide technical expertise
  • Maintain documentation for data warehouse architecture and processes
  • Continuously evaluate and recommend improvements to data warehouse technology
  • Participate in data governance and security initiatives

What are the typical required skills & experiences of a Data Warehouse Engineer?

  • Proven experience with data warehouse technologies and methodologies
  • Strong database and SQL skills, with experience in database design and development
  • Experience with ETL tools and processes
  • Knowledge of data modeling techniques and best practices
  • Familiarity with cloud-based data warehouse solutions like AWS Redshift or Snowflake
  • Proficiency in programming languages such as Python or Java for data processing
  • Experience in optimizing database performance and data processing
  • Strong problem-solving skills and attention to detail
  • Ability to work collaboratively with cross-functional teams
  • Excellent communication skills for technical and non-technical audiences
  • A degree in Computer Science, Engineering, or related field is often preferred
  • Experience with big data technologies and real-time data processing is a plus

Discover how Alooba can help identify the best Data Warehouse Engineers for your team

Data Warehouse Engineer Levels

Intern Data Warehouse Engineer

Intern Data Warehouse Engineer

An Intern Data Warehouse Engineer is a budding professional who assists in managing and optimizing data storage systems. They are trained in data modeling, ETL processes, and database management, contributing to the efficiency and reliability of data warehousing operations.

Graduate Data Warehouse Engineer

Graduate Data Warehouse Engineer

A Graduate Data Warehouse Engineer is a budding professional who aids in the design, development, and maintenance of data warehouse systems. They possess a strong foundation in database management, data warehousing, and ETL processes, ready to support the organization's data infrastructure needs.

Junior Data Warehouse Engineer

Junior Data Warehouse Engineer

A Junior Data Warehouse Engineer is a key player in managing and maintaining an organization's data infrastructure. They assist in designing, building, and maintaining data warehouses, ensuring data is accessible and properly structured for analysis. Their role is integral to the smooth operation of data-driven business strategies.

Data Warehouse Engineer (Mid-Level)

Data Warehouse Engineer (Mid-Level)

A Mid-Level Data Warehouse Engineer is a professional who designs, develops, and maintains data warehouses. They ensure that data is stored efficiently and securely, and that it is readily available for analysis. Their work is critical in facilitating data-driven decision-making within an organization.

Senior Data Warehouse Engineer

Senior Data Warehouse Engineer

A Senior Data Warehouse Engineer is an experienced professional who designs, develops, and manages data warehouses. They ensure data is stored efficiently and securely, making it easily retrievable for analysis. Their expertise enables organizations to effectively leverage their data, driving strategic decisions and business success.

Lead Data Warehouse Engineer

Lead Data Warehouse Engineer

A Lead Data Warehouse Engineer is a key player in managing and optimizing an organization's data infrastructure. They oversee the design, development, and maintenance of data warehouses, ensuring data is organized, accessible, and secure. Their technical expertise and leadership skills are crucial to the effective management of large volumes of data.

Common Data Warehouse Engineer Required Skills

.NET.NETAccessibilityAccessibilityAdobe AnalyticsAdobe AnalyticsAgreeablenessAgreeablenessAmazon AuroraAmazon AuroraAmazon GlueAmazon GlueAmazon KinesisAmazon KinesisAmazon Web ServicesAmazon Web ServicesAnalytical MindsetAnalytical MindsetAnalytics EngineeringAnalytics EngineeringAnalytics Project ManagementAnalytics Project ManagementApache FlinkApache FlinkApache FlumeApache FlumeApache HadoopApache HadoopApache HBaseApache HBaseApache HiveApache HiveApache IcebergApache IcebergApache KafkaApache KafkaApache NiFiApache NiFiApache SqoopApache SqoopApplication Scaling StrategiesApplication Scaling StrategiesArraysArraysAssertivenessAssertivenessAtomicityAtomicityAzureAzureAzure Data FactoryAzure Data FactoryAzure Data LakeAzure Data LakeBack-End DevelopmentBack-End DevelopmentBalancing TreesBalancing TreesBayes TheoremBayes TheoremBayesian AnalysisBayesian AnalysisBig DataBig DataBig Data MiningBig Data MiningBinary TreesBinary TreesBinomial DistributionBinomial DistributionBlameBlameBusiness Intelligence ArchitectureBusiness Intelligence ArchitectureBusiness Intelligence DevelopmentBusiness Intelligence DevelopmentBusiness StrategyBusiness StrategyCCCardinalityCardinalityCause & EffectCause & EffectClassesClassesClassificationClassificationClojureClojureCloud AnalyticsCloud AnalyticsCloud ArchitectureCloud ArchitectureCloud Data EngineeringCloud Data EngineeringCloud PlatformsCloud PlatformsCloudera Data PlatformCloudera Data PlatformClusteringClusteringCollectorsCollectorsCommittingCommittingComparatorsComparatorsComplexityComplexityConcurrencyConcurrencyConcurrency ControlConcurrency ControlConfirmation BiasConfirmation BiasConfluentConfluentConstraintsConstraintsContainerizationContainerizationContinuous LearningContinuous LearningCQRSCQRScroncronCross Site ScriptingCross Site Scriptingcsv filescsv filesCustomer InsightsCustomer InsightsDaskDaskData AcquisitionData AcquisitionData AdvocacyData AdvocacyData ArchitectureData ArchitectureData CompressionData CompressionData EngineeringData EngineeringData Engineering InfrastructureData Engineering InfrastructureData EthicsData EthicsData ExplorationData ExplorationData FabricData FabricData FederationData FederationData FormatsData FormatsData GovernanceData GovernanceData InfrastructureData InfrastructureData LakeData LakeData LakehouseData LakehouseData LeakageData LeakageData LineageData LineageData ManagementData ManagementData ManipulationData ManipulationData MartData MartData MeshData MeshData ModellingData ModellingData OrchestrationData OrchestrationData PipelinesData PipelinesData PrivacyData PrivacyData SecurityData SecurityData ShardingData ShardingData StewardshipData StewardshipData Storage FrameworkData Storage FrameworkData StoresData StoresData StrategyData StrategyData SynchronisationData SynchronisationData TransformationsData TransformationsData TypesData TypesData VaultData VaultData VirtualizationData VirtualizationData WarehousingData WarehousingData WranglingData WranglingData-Driven Decision MakingData-Driven Decision MakingDatabase & Storage SystemsDatabase & Storage SystemsDatabase DesignDatabase DesignDatabase ManagementDatabase ManagementDatabase Management ToolDatabase Management ToolDatabase ModelingDatabase ModelingDatabase MonitoringDatabase MonitoringDatabase Scaling StrategiesDatabase Scaling StrategiesDatabricksDatabricks
Dataflow
Dataflow
DataOpsDataOpsdbtdbtDenodoDenodoDependency GraphsDependency GraphsDependency InversionDependency InversionDesign PatternsDesign PatternsDimension TablesDimension TablesDimensional ModellingDimensional ModellingDistance MetricsDistance MetricsDistributed ComputingDistributed ComputingDistributed Data ProcessingDistributed Data ProcessingDistributed SQL Query EngineDistributed SQL Query EngineDo-While LoopsDo-While LoopsDomoDomoElasticsearchElasticsearchEncapsulationEncapsulationEncryptionEncryptionEnglish PunctuationEnglish PunctuationEnglish SpellingEnglish SpellingEnsemble MethodsEnsemble MethodsEntropyEntropyErlangErlangETL/ELT ProcessesETL/ELT ProcessesEvaluation StrategiesEvaluation StrategiesEvent AnalyticsEvent AnalyticsEvent Driven ArchitectureEvent Driven ArchitectureEvent StreamingEvent StreamingFact TablesFact TablesFeature StoresFeature StoresFinanceFinanceFinancial ModelingFinancial ModelingFirewallsFirewallsForeign KeysForeign KeysFormulasFormulasFunctional RequirementsFunctional RequirementsFunctionsFunctionsFuzzy MatchingFuzzy MatchingGDPRGDPRGitGitGitHubGitHub
Google BigQuery
Google BigQuery
GPTGPTGraphQLGraphQLGraphsGraphsHadoop Distributed File SystemHadoop Distributed File SystemHashed DataHashed DataHaskellHaskellHTTP MethodsHTTP MethodsIBM DataStageIBM DataStageIBM Db2IBM Db2ICPICPIDEIDEIncremental LoadingIncremental LoadingIndexingIndexingIndexing StrategiesIndexing StrategiesInformaticaInformaticaInformation SecurityInformation SecurityInfrastructure as CodeInfrastructure as CodeInteractive Query ServiceInteractive Query ServiceInterface Segregation PrincipleInterface Segregation PrincipleIteratorsIteratorsJavaJavaJSONJSONJuliaJuliaKeysKeysKnowledge GraphsKnowledge GraphsKubernetesKubernetesLeadershipLeadershipLFSLFSLifetime Value AnalysisLifetime Value AnalysisLine ChartsLine ChartsLinked ListsLinked ListsListsListsLLMsLLMsLocksLocksLog ManagementLog ManagementLogistic RegressionsLogistic RegressionsLoopsLoopsLSILSIMacrosMacrosMariaDBMariaDBMarkdownMarkdownMatricesMatricesMean Squared ErrorMean Squared ErrorMeasures of Central TendencyMeasures of Central TendencyMercurialMercurialMergingMergingMerging MethodsMerging MethodsMetadata ManagementMetadata ManagementMetricsMetricsMicrosoft AccessMicrosoft AccessMissing Value TreatmentMissing Value TreatmentMulti-threadingMulti-threadingMulticollinearityMulticollinearityMySQLMySQLNon-Functional RequirementsNon-Functional RequirementsNormal DistributionNormal DistributionNormalizationNormalizationOAuth2OAuth2Object-Oriented ProgrammingObject-Oriented ProgrammingObjective-CObjective-COLTPOLTPOpen-Closed PrincipleOpen-Closed PrincipleOperating SystemsOperating SystemsOperation AnalyticsOperation AnalyticsOracle Business Intelligence Enterprise Edition PlusOracle Business Intelligence Enterprise Edition PlusOracle DatabaseOracle DatabaseOrderlinessOrderlinessORMORMOverconfidence BiasOverconfidence BiasPartitioned TablesPartitioned TablesPartitioningPartitioningPerformance MetricsPerformance MetricsPie ChartsPie ChartsPivot TablesPivot TablesPlotlyPlotlyPostgreSQLPostgreSQLPowerShellPowerShellPre-processingPre-processingPrescriptive AnalyticsPrescriptive AnalyticsPrimary KeysPrimary KeysProgrammingProgrammingProgramming ArchitecturesProgramming ArchitecturesProgramming ConceptsProgramming ConceptsPrompt EngineeringPrompt EngineeringPub/SubPub/SubPythonPythonQlikQlikQuantum Machine LearningQuantum Machine LearningQuboleQuboleQuery Execution PlansQuery Execution PlansQuery OptimisationQuery OptimisationQueuesQueuesRate LimitingRate LimitingRecency BiasRecency BiasRedisRedisRedshiftRedshiftRegular ExpressionsRegular ExpressionsRelational Data ModelsRelational Data ModelsRelational DatabasesRelational DatabasesRequirements GatheringRequirements GatheringReverting ChangesReverting ChangesRisk AnalysisRisk AnalysisRudderStackRudderStackSales AnalyticsSales AnalyticsSAP Data ServicesSAP Data ServicesSAP HANASAP HANAScatter ChartsScatter ChartsSearching ArraysSearching ArraysSearching TreesSearching TreesSecure ProgrammingSecure ProgrammingSegmentationSegmentationSingle Responsibility PrincipleSingle Responsibility PrincipleSisenseSisenseSOAPSOAPSoftware Development Life CycleSoftware Development Life CycleSoftware EngineeringSoftware EngineeringSolarWindsSolarWindsSolution DesignSolution DesignSpatial ReasoningSpatial ReasoningSplunkSplunkSQLSQLSQL DevelopmentSQL DevelopmentSQL ServerSQL ServerSQLiteSQLiteStandard DeviationStandard DeviationStandardizationStandardizationStatistical MeasuresStatistical MeasuresStored ProceduresStored ProceduresStreamsStreamsString ManipulationString ManipulationStructured DataStructured DataSwiftSwiftSyntaxSyntaxSystems ArchitectureSystems ArchitectureTablesTablesTalend Data FabricTalend Data FabricTask SchedulingTask SchedulingTerraformTerraformtidyversetidyverseTime ComplexityTime ComplexityTinybirdTinybirdTransactionsTransactionsTransport Layer SecurityTransport Layer SecurityTreemapsTreemapsTrelloTrelloTrinoTrinoTypeScriptTypeScriptUnstructured DataUnstructured DataUsability TestingUsability TestingVBAVBAVersion ControlVersion ControlVerticaVerticaViewsViewsVLOOKUPVLOOKUPWeb CrawlingWeb CrawlingWhile LoopWhile LoopWikiWikiWindowsWindowsWindows Task SchedulerWindows Task SchedulerWorkflow AutomationWorkflow AutomationWormsWormsYAMLYAMLZ-TestsZ-Tests