Data Platform Engineer – IAAI

MBZUAI
Anywhere
Workplace: RemoteFull timeFunction: DevOps, Cloud & InfrastructureExperience: 2-4 yearsEducation: bachelorsSkills: ["Intellectual curiosity","Collaboration","Documentation","Code review feedback incorporation","Responsible data handling"]

Design, develop, and operationalize an agricultural data platform for AI-enabled research and deployment. Own end-to-end data pipelines for ingestion, processing, storage, and retrieval, including robust ETL/ELT for noisy, heterogeneous real-world datasets. Build and support core platform components such as databases, data lakes/lakehouse structures, APIs, and integration layers, while implementing validation, sanitization, and data quality checks. Collaborate with applied research scientists on governance, standards, and downstream modeling needs.

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FursaFursa
MBZUAI
MBZUAI
1 month ago

Data Platform Engineer – IAAI

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Source: Company careers pageValidated by: Fursa AI
Last checked: 10 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Design, develop, and operationalize an agricultural data platform for AI-enabled research and deployment. Own end-to-end data pipelines for ingestion, processing, storage, and retrieval, including robust ETL/ELT for noisy, heterogeneous real-world datasets. Build and support core platform components such as databases, data lakes/lakehouse structures, APIs, and integration layers, while implementing validation, sanitization, and data quality checks. Collaborate with applied research scientists on governance, standards, and downstream modeling needs.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: DevOps, Cloud & Infrastructure
Seniority: Mid level

Key Responsibilities

  • •Implement end-to-end data pipelines for ingestion, processing, storage, and retrieval aligned to platform architecture and design specifications.
  • •Develop and maintain ETL/ELT workflows for structured and semi-structured agricultural data from multiple sources.
  • •Contribute to core platform components including databases, data lakes, APIs, and integration layers; support secure, scalable storage and access.
  • •Implement data validation, sanitization, and quality checks, including schema enforcement, metadata management, and provenance tracking.
  • •Work with the Applied Research Scientist to translate governance requirements and designs into executable solutions, and document pipeline logic and operating procedures.

Key Requirements

  • •Bachelor’s degree in computer science, data engineering, information systems, software engineering, or a related field.
  • •2-4 years of progressive experience with HPC environments or advanced research computing systems.
  • •Experience building end-to-end data ingestion and ETL/ELT workflows.
  • •Ability to design scalable data lakes/lakehouse structures for mixed-structure datasets.
  • •Familiarity with at least one data engineering programming language (e.g., Python or Java) plus foundational knowledge of databases, data pipelines, or distributed systems.
Experience:2-4 yearsHigh-performance computing (HPC)Research computingData engineeringAgricultural data
Education:Bachelor's in computer science, data engineering, information systems, software engineering, or related field
Skills:Intellectual curiosityCollaborationDocumentationCode review feedback incorporationResponsible data handling
Tech Stack:PythonJavaETLELTData pipelinesData lakesLakehouseAPIsDatabasesData ingestionData processingWorkflow orchestrationData cataloguingMetadata managementSchema designProvenance trackingDistributed systemsCloudOn-premise

Company Brief

MBZUAI
Mohamed bin Zayed University of Artificial Intelligence is a graduate-level research university in Abu Dhabi focused on AI education, research, and industry collaboration. It offers advanced programs in machine learning, computer vision, natural language processing, and related fields.
Industry: Higher Education
Company Size: Large (251 to 1,000 employees)
Growth: Government & Public Sector
Funding: Government Funded
Headquarters: Abu Dhabi, United Arab Emirates
Founded: 2019
WebsiteLinkedIn