Senior Data Engineer

Satori Analytics; Kentucky; Hybrid; USD 120,000 - 170,000; Full time

Benefits offered by this job

Competitive salary

Flexible hybrid/remote work

Health benefits

Learning & development

Career growth

Great team & culture

Team events

Modern tools

Valuing workplace

Job summary

Satori Analytics in the United States is seeking a Senior Data Engineer to design, build, and operate scalable data platforms powering marketing analytics and AI initiatives. You will enable campaign measurement, customer insights, and enterprise-scale data products in collaboration with Product, Engineering, Data Science, and Business teams.

You'll lead pipelines, establish best practices, and mentor engineers while advancing cloud-native architectures with Databricks, AWS, Azure, or GCP.

Qualifications

• Must have 5+ years designing scalable data platforms.
• Expertise in modern data engineering technologies.
• Experience delivering cloud platforms (Databricks, AWS, Azure, GCP).
• Strong data governance, security, privacy, and lineage.
• Experience leading initiatives and mentoring engineers.

Responsibilities

• Design, build, and operate scalable data platforms.
• Enable campaign measurement, insights, reporting, and AI/ML.
• Collaborate with Product, Engineering, Data Science, and Business teams.
• Establish engineering best practices, CI/CD, and IaC.
• Lead technical initiatives and architecture decisions.

Skills

Spark

Kafka

Hadoop

Cloud services

Python

Java

Scala

SQL

Data modeling

ETL/ELT

CI/CD

Observability

Security

Governance

Mentoring

Communication

Education

BSc/MSc in CS/SE/DS

Tools

Databricks

AWS

Azure

GCP

CI/CD tools

IaC

Job description

Are you passionate about AI?

At Satori Analytics, we aim to change the world one algorithm at a time by bringing clarity to global brands through Data & AI. From cloud-based ecosystems for fintech to predictive models for airlines, our cutting-edge solutions cover the entire data lifecycle—from ingestion to AI applications.

As a fast-growing scale-up, our team of 100+ tech specialists—including Data Engineers, Data Scientists, and more—delivers innovative analytics solutions across industries like FMCG, retail, manufacturing and FSI. Join us as we lead the data revolution in South-Eastern Europe and beyond!

We're looking for a Senior Data Engineer to design, build, and operate the scalable data platforms behind a global payments & financial-services leader's marketing services products. You'll enable campaign measurement, customer insights, reporting, and AI/ML initiatives — partnering with Product, Engineering, Data Science, and Business stakeholders to turn complex data challenges into secure, reliable, high-quality solutions at enterprise scale.

YourDay willLookLike:

• Buildthepipelines:Design,deploy,andmaintainscalablebatch,streaming,andreal-timedatapipelinessupportingbusiness-criticalmarketingproductsandanalyticsworkloads.
• Createreusablefoundations:Developframeworksandservicesforingestion,transformation,orchestration,anddeliveryacrossdatalake,warehouse,andlakehousesolutions.
• Scaleandharden:Leadinitiativesonplatformscalability,performance,reliability,andresiliency,andstrengthendataquality,observability,governance,security,andlineageacrosstheecosystem.
• Modernise:Drivecloudmigrationandmodernisation,evolvinglegacyplatformstowardsmoderncloud-nativearchitectures.
• Enabletheusecases:Providethetrusteddatafoundationsbehindadvancedanalytics,reporting,AI/ML,experimentation,andcustomerinsights.
• Setthestandard:Establishengineeringbestpractices,CI/CDautomation,infrastructure-as-code,andoperationalexcellence—andleadroot-causeanalysisoncomplexproductionissues.
• Leadandmentor:Contributetechnicalleadershipacrossinitiatives,mentorengineers,andshapearchitecturaldecisionsandtechnologyroadmaps.

YourSuperpowers:

• BScorMScdegreeinComputerScience,SoftwareEngineering,DataScience,oranyrelevantfield.
• Minimum5yearsofexperiencedesigningandbuildingscalabledataplatformsanddistributeddata-processingsolutions.
• Strongexpertiseacrossmoderndataengineeringtechnologies—Spark,Kafka,Hadoopecosystemtools,cloud-nativedataservices,andlarge-scaleprocessingframeworks.
• ProficiencyinoneormoreofPython,Java,Scala,orSQL.
• Deepunderstandingofdatamodelling,ETL/ELTdesignpatterns,dataarchitecture,anddatalifecyclemanagement,withatrackrecordbuildingpipelinesforanalytics,reporting,ML,andoperationaldataproducts.
• Hands-onexperiencedeliveringoncloudplatformssuchasDatabricks,AWS,Azure,orGCP.
• Solidgraspofdatagovernance,security,privacy,lineage,metadatamanagement,andregulatorycompliance.
• ExperiencewithCI/CD,DevOpsautomation,infrastructure-as-code,andobservabilityframeworks.
• Strongproblem-solvingskillsfordiagnosingcomplexissuesindistributedenvironments,plusthejudgementtobalancetechnicalexcellencewithbusinesspriorities.
• Experienceleadingtechnicalinitiatives,influencingarchitecture,andmentoringengineers,backedbystrongstakeholdercommunicationacrossengineering,product,analytics,andbusinessteams.

• CompetitiveSalary–Arewardingpackagethatreflectsyourskillsandexperience.
• FlexibleWorking–EnjoyflexiblehybridmodelinourmodernAthensofficeorworkremotelyfromanywhereinEuropeaneconomicArea(EU,Switzerlandetc.)orUK(upto6weeksperyear).
• Health&WellnessBenefits–Privateinsurance,andthechancetoworkwithastellarcrew.
• Learning&Development–Trainingbudgettolevelupyourskillsfromthetoptechpartnersinthemarket(Microsoft,AWS,Salesforce,Databricksetc.)–whetherit’scertificationsorcourses,we’vegotyoucovered.
• CareerGrowth–Clearopportunitiestodevelopyourskillsandprogresswithinthecompany.
• GreatTeam&Culture–Workwithtalented,supportivepeopleinacollaborativeenvironment.
• TeamEvents&Perks–Enjoysocialevents,celebrations,andexclusiveemployeebenefits.
• ModernTools&Technology–Everythingyouneedtodoyourbestwork.
• AWorkplaceThatValuesYou–Yourideas,contribution,andwell-beinggenuinelymatter.