Client Data Solutions Engineer London

Intent HQ; London; On-site; GBP 50,000 - 90,000; Full time

Job summary

An established industry player is seeking a talented Senior Client Data Solutions Engineer to join their innovative Client Operations team. This role involves developing scalable, high-performance software solutions that enhance AI and analytics capabilities. You will collaborate closely with data scientists and product managers to evolve the platform, ensuring efficient data processing and client satisfaction. If you are passionate about AI and big data, this is an exciting opportunity to make a significant impact in the field of customer intelligence.

Benefits

Flexible working hours

Health insurance

Professional development opportunities

Remote work options

Team building activities

Qualifications

• 3+ years of software engineering experience in backend or full-stack development.
• Strong understanding of data structures, algorithms, and software design patterns.

Responsibilities

• Design, develop, and maintain scalable backend systems.
• Collaborate with cross-functional teams to deliver AI-driven customer analytics solutions.

Skills

Software Engineering

Python

Java

Scala

Cloud Platforms (AWS, GCP, Azure)

Big Data Technologies (Spark, Kafka, Hadoop)

RESTful APIs

GraphQL

Microservices Architecture

DevOps Practices

Education

Bachelor's Degree in Computer Science or related field

Tools

Docker

Kubernetes

TensorFlow

PyTorch

Job description

AboutIntentHQ
IntentHQisanaward-winningAIcustomeranalyticscompanythattransformsfirst-partydataintoactionableinsights,helpingenterprisesbuildprecise,human-levelunderstandingoftheircustomers.OurAI-poweredCustomerIntentEngineprocessesbillionsofdatapointsdaily,enablinghyper-personalizemarketing,customerengagement,andoperationalefficiency—all
whileupholdingthehigheststandardsofprivacy.RecognisedasAICompanyoftheYearattheBritishDataAwards2024,wepartnerwithsomeoftheworld'sleadingbrandstoredefinecustomerintelligence.Ifyou'repassionateaboutAI,bigdata,andsolvingcomplexengineeringchallenges,we'dlovetohearfromyou!

RoleOverview
Wearelookingforatalented SeniorClient Data SolutionsEngineertojoinourinnovativeandexpandingClient Operationsteam.Youwillberesponsiblefordevelopingscalable,high-performancesoftwaresolutionsthatdriveourAIandanalyticscapabilities.Workingcloselywithdatascientists,productmanagers,andcloudengineers,youwillcontributetotheevolutionofourplatform,enablingcutting-edgecustomerintelligencesolutions.Youwillalsodesignspecificationsandbuildconfigurationstoingestandprocessclientdataatscale.Youwillbetheprimarypointofcontactwiththeclientfromadataperspectiveandwillowntheendtoendclientdataprovisioning
process.

KeyResponsibilities
●Design,develop,andmaintainscalable,efficient,andsecurebackendsystems.
●Designspecificationsandbuildconfigurationstoingestandprocessclientdataatscale.
●Workwithdatapipelinestoprocesslarge-scalestructuredandunstructureddata.
●Youwillworkwithourclientstogathertheirdatarequirementsandconverttheminto
dataspecifications.
●DevelopAPIsandmicroservicestointegrateAImodelsintoreal-timecustomerinsights.
●Optimizesystemperformanceandreliabilityforhigh-volumedataprocessing.
●Collaboratewithcross-functionalteamstodeliverAI-drivencustomeranalyticssolutions.
●Ensurecodequalitythroughautomatedtesting,codereviews,andbestpractices.
●StayaheadofindustrytrendsinAI,bigdata,andcloudtechnologies.
●Primarypointofcontactwiththeclientfromadataperspectiveandwillowntheendtoendclientdataprovisioningprocess,ensuringthatwegetthedataweneedfromour
clientsinordertofulfiltheirdesiredusecasesandtodeliverthemostbusinessvalue.

RequiredSkills&Experience
●3+yearsofsoftwareengineeringexperienceinbackendorfull-stackdevelopment.
●ProficiencyinPython,Java,orScala(experiencewithmultiplelanguagesisaplus).

●Experiencewithcloudplatforms(AWS,GCP,orAzure)anddistributedcomputing.
●KnowledgeofbigdatatechnologiessuchasSpark,Kafka,orHadoop.
●ExperiencewithRESTfulAPIs,GraphQL,ormicroservicesarchitecture.
●Strongunderstandingofdatastructures,algorithms,andsoftwaredesignpatterns.
●FamiliaritywithDevOpspractices,CI/CDpipelines,andcontainerization(Docker,
Kubernetes).
●Excellentproblem-solvingandanalyticalskills,withastrongattentiontodetail.
●PassionforAI,datascience,andcustomeranalytics.

Nice-to-Have
●ExperiencewithEdgeAIoron-deviceAIprocessing.
●Knowledgeofprivacy-firstAItechnologiesanddatasecuritybestpractices.
●Familiaritywithmachinelearningframeworks(TensorFlow,PyTorch,etc.).