Senior Data Engineer, Python
Summary
Senior Data Engineer builds scalable Python ETL pipelines and AI-driven data products, including RAG systems and vector databases, using Kubernetes and cloud services.
SeniorDataEngineer
WhoisParser?
Technology alone does not create impact - the right teams do. Founded in 2018, Parser is a boutique technology services and consulting firm helping global organizations solve complex business challenges through digital transformation, product development and AI enablement.
We are a fast growing team of 340+ engineers and consultants across Europe (UK, Spain, Portugal), the Americas (US, Argentina, Uruguay, Colombia), and the Middle East. We combine global reach with a mindset focused on agility, senior expertise, and close collaboration.
Weworkasanextensionofourclients’teams,helpingthemdefinetherightproblems,shapesolutions,anddeliver technology-driven outcomes that create measurable business value.
Ourexpertisespanssoftwareengineering,AI&data,productdevelopment,andcustomerexperience,deliveredbyteams that combine strong technical depth with a consulting mindset.
WhyJoinUs?
Ifyouarelookingforaplacewhereyoucanthinkbeyondexecution,taketrueownershipofoutcomes,influence decisions, and continuously learn alongside top-tier specialists in a truly global environment, we’d love to meet you.
HowYou'llMakeanImpact?
As a Senior Data Engineer you will be participating in the design and build of the next generation of AI driven data products and intelligence platforms. As a Python-strong, AI-aware Data Engineer, you'll lead the design and development of data ingestion, ETL, and multi-agent analytical systems by creating scalable schemas and transformation layers that power analytics and AI agents across the UAE and beyond.
Your key responsibilities:
- Buildandmaintainend-to-enddataingestionandETLpipelines
- IngeststructuredandunstructureddatafromAPIs,Snowflake,Oracle,documents,andmarketdataproviders
- Developproduction-qualityPythonservicesanddataworkflows
- OrchestratepipelinesusingKubernetesandworkflowtools
- Applycleanarchitectureandstrongengineeringdesignpatterns
- DesignschemasandtransformationlayersforanalyticsandAIagents
- PreparedataforAIandRAGsystems(chunking,embeddings,retrievalpipelines)
Whatyou’llbringtotherole:
EssentialRequirements:
- 6+yearsofexperienceinPython
- 3+yearsofexperiencewithKubernetes-basedworkloads
- ETL/ELTpipelineDesignandorchestration(Airflow,ADF,Databricksorsimilar)
- HandsonexperiencewithRAGsystems,EmbeddingsandVectorDatabases.
- ExperiencewithAzurecloud
- ExperiencewithDataWarehouseArchitectures,APIandDatabaseintegrations
DesirableRequirements:
- ExperiencewithSnowflakeandOracle
- Kafka/Eventhubstreamingsystems
- LLMevaluation,promptengineering
- ExperiencebuildingAIorDataPlatforms.
Location:
OnlyconsideringcandidatesbasedinaDubaiorAbuDhabi.
Hybridworkmodel2-3daysattheofficeperweek.
Youwillreceive:
- Thechancetojoinanorganizationwithtriple-digitgrowththatischangingtheparadigmonhowsoftwareproductsarebuilt.
- Theopportunitytobepartofanamazing,multiculturalcommunityoftechexperts.
- Ahighlycompetitivecompensationpackage.
- Aflexibleandhybridworkingenvironment.
- EmploymentVisaandMedicalinsurance.
Parseriscommittedtofosteringaninclusiveworkplaceandprovidingequalemploymentopportunitiestoallapplicantsregardlessofrace,religion,gender,sexualorientation,age,disability,oranyotherprotectedcharacteristicunderapplicablelaw.
Ifyourequirereasonableaccommodationsduringtherecruitmentprocess,pleaseletusknowandwewillworkwithyoutosupportyourparticipation.
Byapplyingtothisrole,youacknowledgethatyourpersonaldatawillbeprocessedinaccordancewithParser’sPrivacyNoticeforrecruitmentpurposes.
ParsermayuseAI-assistedtoolsduringcertainstagesoftherecruitmentprocesstosupportoperationalefficiency.
Our recruiting teams use AI to streamline note-taking and scheduling.
All hiring decisions are made by people, with human review and oversight.