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- Permanent
- Basingstoke(Hybrid-x2PW)
- Upto70,000+ExcellentPackage
Overview
We'relookingforaskilledDataAnalyticsEngineertohelpdrivetheevolutionofourclientsdataplatform.ThisroleisidealforsomeonewhothrivesonbuildingscalabledatasolutionsandisconfidentworkingwithmoderntoolssuchasAzureDatabricks,ApacheKafka,andSpark.Inthisrole,you'llplayakeypartindesigning,delivering,andoptimisingdatapipelinesandarchitectures.Yourfocuswillbeonenablingrobustdataingestionandtransformationtosupportbothoperationalandanalyticalusecases.Ifyou'repassionateaboutdataengineeringandwanttomakeameaningfulimpactinacollaborative,fast-pacedenvironment,wewanttohearfromyou!!
RoleandResponsibilities
- DesigningandbuildingscalabledatapipelinesusingApacheSparkinAzureDatabricks
- Developingreal-timeandbatchdataingestionworkflows,ideallyusingApacheKafka
- Collaboratingwithdatascientists,analysts,andbusinessstakeholderstobuildhigh-qualitydataproducts
- Supportingthedeploymentandproductionisationofmachinelearningpipelines
- ContributingtotheongoingdevelopmentofaLakehousearchitecture
- WorkinginanAgile/DevOpsenvironmenttocontinuouslyimproveplatformperformanceandreliability
EssentialSkillsandExperience
We'reseekingcandidateswhobringstrongtechnicalskillsandahands-onapproachtomoderndataengineering.Youshouldhave:
- ProvenexperiencewithAzureDatabricksandApacheSpark
- WorkingknowledgeofApacheKafkaandreal-timedatastreaming
- StrongproficiencyinSQLandPython
- FamiliaritywithAzureDataServicesandCI/CDpipelinesinaDevOpsenvironment
- Solidunderstandingofdatamodellingtechniques(e.g.,StarSchema)
- Excellentproblem-solvingskillsandahighattentiontodetail
Desirable:
- AzureDataEngineercertification
- Experienceworkingwithunstructureddatasources(e.g.voice)
- ExposuretoPowerBIfordownstreamreporting(desirable,butsecondarytoplatformengineeringskills)
- Previousexperienceinregulatedindustries
