Data Pipeline Engineer

Data Pipeline Engineer

Design and implement efficient data flow systems to enable data-driven decision making.

Data Platform
Job Family
AU$110k
Salary
Average salary in Australia
17%
Job Growth
The number of positions relative to last year
18
Open Roles
Job openings on Alooba Jobs

Data Pipeline Engineers are responsible for developing and maintaining the systems that allow for the smooth and efficient movement of data within an organization. They work with large and complex data sets, building scalable and reliable pipelines that facilitate data collection, storage, processing, and analysis. Proficient in a range of programming languages and tools, they collaborate with data scientists and analysts to ensure that data is accessible and usable for business insights. Key technologies often include cloud platforms, big data processing frameworks, and ETL (Extract, Transform, Load) tools.

Role Requirements

  • 3+ years of experience in software development, data engineering, or a related field
  • Proficiency in programming languages such as Python, Java, or Scala, and scripting languages like SQL
  • Experience with big data technologies and ETL processes
  • Knowledge of cloud services (AWS, Azure, GCP) and their data-related services
  • Familiarity with data modeling, data warehousing, and building high-volume data pipelines
  • Understanding of distributed systems and microservices architecture
  • Experience with source control tools like Git, and CI/CD practices
  • Strong problem-solving skills and ability to work independently
  • Excellent communication and collaboration skills
  • Bachelor’s degree in Computer Science, Engineering, or a related field, or equivalent experience
  • Familiarity with containerization and orchestration technologies (e.g., Docker, Kubernetes)
  • Knowledge of data security and privacy practices

Duties/Responsibilities

  • Design, develop, and maintain scalable and reliable data pipelines
  • Collaborate with data scientists and analysts to understand data needs
  • Implement automated workflows for data ingestion, processing, and distribution
  • Optimize data retrieval and develop dashboards for data monitoring
  • Ensure data quality and consistency across various data sources
  • Document data pipeline architecture and maintain data models
  • Identify and integrate new data sources to improve data systems
  • Conduct performance tuning and troubleshooting of data pipelines
  • Keep up-to-date with industry trends and advancements in data engineering
  • Promote best practices in data management and pipeline development
  • Participate in code reviews and contribute to team knowledge sharing
  • Support data governance and compliance initiatives

Core Data Pipeline Engineer Required Skills

.NET.NETAdvanced AnalyticsAdvanced AnalyticsAgreeablenessAgreeablenessAlteryx DesignerAlteryx DesignerAmazon AuroraAmazon AuroraAmazon GlueAmazon GlueAmazon KinesisAmazon KinesisAmazon Web ServicesAmazon Web ServicesAnalytics DatabasesAnalytics DatabasesAnalytics EngineeringAnalytics EngineeringAnalytics ProgrammingAnalytics ProgrammingAnalytics Project ManagementAnalytics Project ManagementAnsibleAnsibleApache AirflowApache AirflowApache BeamApache BeamApache CassandraApache CassandraApache FlinkApache FlinkApache FlumeApache FlumeApache HadoopApache HadoopApache HBaseApache HBaseApache HiveApache HiveApache IcebergApache IcebergApache KafkaApache KafkaApache NiFiApache NiFiApache SparkApache SparkAPIsAPIsApplication Scaling StrategiesApplication Scaling StrategiesArraysArraysAssertivenessAssertivenessAutomated Data Quality ChecksAutomated Data Quality ChecksAutomated TestingAutomated TestingAutomationAutomationAzureAzureAzure Data FactoryAzure Data FactoryAzure Data LakeAzure Data LakeBack-End DevelopmentBack-End DevelopmentBalancing TreesBalancing TreesBayes TheoremBayes TheoremBayesian AnalysisBayesian AnalysisBiasBiasBig DataBig DataBig Data MiningBig Data MiningBinary SearchBinary SearchBonferroni CorrectionBonferroni CorrectionBusiness AnalyticsBusiness AnalyticsBusiness InsightsBusiness InsightsBusiness Intelligence ArchitectureBusiness Intelligence ArchitectureBusiness StrategyBusiness StrategyCCCardinalityCardinalityCause & EffectCause & EffectClassesClassesClojureClojureCloud AnalyticsCloud AnalyticsCloud ComputingCloud ComputingCloud Data EngineeringCloud Data EngineeringCloud PlatformsCloud PlatformsCloudera Data PlatformCloudera Data PlatformClusteringClusteringCode ReviewsCode ReviewsCognitive BiasesCognitive BiasesCollectionsCollectionsCollectorsCollectorsCommercial InsightsCommercial InsightsCommittingCommittingComparatorsComparatorsComplexityComplexityComputer ScienceComputer ScienceConcurrencyConcurrencyConcurrency ControlConcurrency ControlConfirmation BiasConfirmation BiasConfluentConfluentControl StructuresControl StructuresCQRSCQRScroncronCross Site ScriptingCross Site Scriptingcsv filescsv filesDagsterDagsterDaskDaskDataDataData AcquisitionData AcquisitionData AnalysisData AnalysisData ArchitectureData ArchitectureData CompressionData CompressionData EngineeringData EngineeringData Engineering InfrastructureData Engineering InfrastructureData ExplorationData ExplorationData FabricData FabricData FederationData FederationData GovernanceData GovernanceData InfrastructureData InfrastructureData IntegrationData IntegrationData LakeData LakeData LakehouseData LakehouseData LineageData LineageData LiteracyData LiteracyData ManagementData ManagementData ManipulationData ManipulationData MaskingData MaskingData MeshData MeshData ModellingData ModellingData OrchestrationData OrchestrationData Pipeline OrchestrationData Pipeline OrchestrationData PipelinesData PipelinesData PrivacyData PrivacyData ProcessingData ProcessingData ScienceData ScienceData ScrapingData ScrapingData SecurityData SecurityData ShardingData ShardingData StewardshipData StewardshipData Storage FrameworkData Storage FrameworkData StoresData StoresData StorytellingData StorytellingData StrategyData StrategyData StreamingData StreamingData SynchronisationData SynchronisationData TransferData TransferData TypesData TypesData VaultData VaultData VirtualizationData VirtualizationData WarehousingData WarehousingData WranglingData WranglingDatabase & Storage SystemsDatabase & Storage SystemsDatabase DesignDatabase DesignDatabase ManagementDatabase ManagementDatabase Management ToolDatabase Management ToolDatabase ModelingDatabase ModelingDatabase Scaling StrategiesDatabase Scaling StrategiesDatabricksDatabricksDataflowDataflowDataOpsDataOpsDAXDAXdbtdbtDecision TreesDecision TreesDell BoomiDell BoomiDenodoDenodoDesign PatternsDesign PatternsDifference in DifferencesDifference in DifferencesDimension TablesDimension TablesDistributed ComputingDistributed ComputingDistributed Data ProcessingDistributed Data ProcessingDistributed Event StoreDistributed Event StoreDistributed SQL Query EngineDistributed SQL Query EngineDistributionsDistributionsDo-While LoopsDo-While LoopsDomoDomoElasticsearchElasticsearchEncapsulationEncapsulationEncryptionEncryptionEnglish GrammarEnglish GrammarEnglish PunctuationEnglish PunctuationEnglish SpellingEnglish SpellingErlangErlangError of DecompositionError of DecompositionETL/ELT ProcessesETL/ELT ProcessesEvent Driven ArchitectureEvent Driven ArchitectureEvent StreamingEvent StreamingFact TablesFact TablesFeature DependenciesFeature DependenciesFeature StoresFeature StoresFinanceFinanceFinancial ModelingFinancial ModelingFirewallsFirewallsFitting AlgorithmsFitting AlgorithmsForeign KeysForeign KeysFormulasFormulasFunctional RequirementsFunctional RequirementsFunctionsFunctionsFuzzy MatchingFuzzy MatchingGDPRGDPRGitGitGitHubGitHubGoogle BigQueryGoogle BigQueryGoogle SheetsGoogle SheetsGPTGPTGraph TheoryGraph TheoryGraphQLGraphQLGraphsGraphsHaskellHaskellHomoscedasticityHomoscedasticityHTTP MethodsHTTP MethodsHypothesis TestingHypothesis TestingIDEIDEImputationImputationIncremental LoadingIncremental LoadingIndexing StrategiesIndexing StrategiesInfrastructure as CodeInfrastructure as CodeInteractive Query ServiceInteractive Query ServiceInternet SecurityInternet SecurityInterpersonal CommunicationInterpersonal CommunicationIteratorsIteratorsJavaJavaJSONJSONJuliaJuliaKeysKeysKnowledge GraphsKnowledge GraphsKotlinKotlinKubernetesKubernetesLean MethodologyLean MethodologyLFSLFSLine ChartsLine ChartsLinear ExtrapolationLinear ExtrapolationLinear RegressionLinear RegressionLinked ListsLinked ListsLinuxLinuxLiskov Substitution PrincipleLiskov Substitution PrincipleListsListsLLMsLLMsLocksLocksLog CollectionLog CollectionLog ManagementLog ManagementLoopsLoopsMacrosMacrosMarket ResearchMarket ResearchMarketing AutomationMarketing AutomationMathematicsMathematicsMatricesMatricesMeasures of Central TendencyMeasures of Central TendencyMercurialMercurialMergingMergingMetadata ManagementMetadata ManagementMicrosoft ExcelMicrosoft ExcelMinimum Remaining ValuesMinimum Remaining ValuesMissing Value TreatmentMissing Value TreatmentMouseflowMouseflowMoving AveragesMoving AveragesMulti-factor AuthenticationMulti-factor AuthenticationMulti-threadingMulti-threadingMulticollinearityMulticollinearityMySQLMySQLNeuroticismNeuroticismNo Code DatabaseNo Code DatabaseNode.jsNode.jsNon-Functional RequirementsNon-Functional RequirementsNormal DistributionNormal DistributionNormalizationNormalizationNoSQL DatabasesNoSQL DatabasesNumerical ReasoningNumerical ReasoningOAuth2OAuth2OLAPOLAPOne-Hot EncodingOne-Hot EncodingOpen-Closed PrincipleOpen-Closed PrincipleOperating SystemsOperating SystemsOperation AnalyticsOperation AnalyticsOracle Business Intelligence Enterprise Edition PlusOracle Business Intelligence Enterprise Edition PlusORMORMPandasPandasPartitioned TablesPartitioned TablesPartitioningPartitioningPercentagesPercentagesPHPPHPPivot TablesPivot TablesPolitenessPolitenessPostgreSQLPostgreSQLPowerShellPowerShellPre-processingPre-processingPrimary KeysPrimary KeysProgrammingProgrammingProgramming ArchitecturesProgramming ArchitecturesProgramming ConceptsProgramming ConceptsPrompt EngineeringPrompt EngineeringPub/SubPub/SubPythonPythonQualitative ResearchQualitative ResearchQuality AssuranceQuality AssuranceQuantum Machine LearningQuantum Machine LearningQuboleQuboleQuery Execution PlansQuery Execution PlansQuery OptimisationQuery OptimisationQueuesQueuesRadar ChartsRadar ChartsRate LimitingRate LimitingRecency BiasRecency BiasRecommendation SystemsRecommendation SystemsRedisRedisRedshiftRedshiftReduxReduxRegressionsRegressionsRelational Data ModelsRelational Data ModelsRelational DatabasesRelational DatabasesRemote RepositoriesRemote RepositoriesReportingReportingRequirements GatheringRequirements GatheringReverting ChangesReverting ChangesRisk AnalysisRisk AnalysisRoboticsRoboticsS3S3Sales AnalyticsSales AnalyticsSales MethodologiesSales MethodologiesSalesforce Customer 360Salesforce Customer 360SamplingSamplingSampling BiasSampling BiasSAP Data ServicesSAP Data ServicesSAP HANASAP HANAScalaScalaScatter ChartsScatter ChartsSearch EnginesSearch EnginesSearching ArraysSearching ArraysSearching TreesSearching TreesSeasonalitySeasonalitySecure ProgrammingSecure ProgrammingSegmentationSegmentationServerless Architectures in DataServerless Architectures in DataServerless ComputingServerless ComputingSignal to NoiseSignal to NoiseSisenseSisenseSnapLogicSnapLogicSnowflake Data CloudSnowflake Data CloudSOAPSOAPSoftware EngineeringSoftware EngineeringSolarWindsSolarWindsSolution DesignSolution DesignSQLSQLSQL DevelopmentSQL DevelopmentSQL ServerSQL ServerSQLiteSQLiteStandardizationStandardizationStored ProceduresStored ProceduresStrategic ThinkingStrategic ThinkingStreamsStreamsString ManipulationString ManipulationStringsStringsSurvivorship BiasSurvivorship BiasSwiftSwiftSyntaxSyntaxSystems ArchitectureSystems ArchitectureTableauTableauTablesTablesTalend Data FabricTalend Data FabricTask ManagementTask ManagementTask SchedulingTask SchedulingTerraformTerraformThe Big Five Personality ModelThe Big Five Personality ModelThrottlingThrottlingtidyversetidyverseTime ComplexityTime ComplexityTinybirdTinybirdTransactionsTransactionsTranslationTranslationTransport Layer SecurityTransport Layer SecurityTreemapsTreemapsTrend AnalysisTrend AnalysisTrinoTrinoTypes of DataTypes of DataTypes of ErrorsTypes of ErrorsTypeScriptTypeScriptUnixUnixUnstructured DataUnstructured DataUsability TestingUsability TestingVBAVBAVersion ControlVersion ControlVerticaVerticaViewsViewsVisual BasicVisual BasicVLOOKUPVLOOKUPWeb CrawlingWeb CrawlingWhile LoopWhile LoopWikiWikiWindowsWindowsWindows Task SchedulerWindows Task SchedulerWorkflowWorkflowWorkflow AutomationWorkflow AutomationWormsWormsXMLXMLYAMLYAMLYield AnalyticsYield Analytics

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

Data Pipeline Engineer Levels

Intern Data Pipeline Engineer

Intern Data Pipeline Engineer

An Intern Data Pipeline Engineer is a budding professional who assists in developing and maintaining the data infrastructure that allows for efficient data flow. They work under the guidance of experienced engineers, learning the ropes of data pipeline architecture, and contributing to the team's efforts.

Graduate Data Pipeline Engineer

Graduate Data Pipeline Engineer

A Graduate Data Pipeline Engineer is an entry-level professional who aids in the design, construction, and maintenance of data pipelines. They leverage their foundational knowledge in data management and programming to ensure smooth data flow, enabling organizations to derive valuable insights from their data.

Junior Data Pipeline Engineer

Junior Data Pipeline Engineer

A Junior Data Pipeline Engineer is an emerging professional who assists in the design and maintenance of data pipelines, ensuring the smooth flow of data within the organization. They work with various data sources, implement ETL processes, and maintain data systems under the guidance of senior engineers.

Data Pipeline Engineer (Mid-Level)

Data Pipeline Engineer (Mid-Level)

A Mid-Level Data Pipeline Engineer is a vital cog in the data management machinery of an organization, designing and implementing data pipelines that enable efficient data flow. Their work ensures that data is accurately gathered, transformed, and stored for analysis and business intelligence purposes.

Senior Data Pipeline Engineer

Senior Data Pipeline Engineer

A Senior Data Pipeline Engineer is a technical expert responsible for designing, building, and maintaining the data pipelines that allow for efficient and reliable data flow. They ensure that data is accessible, accurate, and secure, enabling organizations to leverage it for insights and decision-making.

Lead Data Pipeline Engineer

Lead Data Pipeline Engineer

A Lead Data Pipeline Engineer takes charge of designing, building, and maintaining the data pipelines that enable efficient data flow within an organization. They possess advanced technical skills, a problem-solving mindset, and the leadership abilities required to guide a team of data engineers.

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