Senior Data Engineer

Presight
Abu Dhabi
Workplace: OnsiteFull timeFunction: Solutions Engineering & Sales EngineeringExperience: 10+ yearsEducation: bachelorsSkills: ["Problem-solving","Communication","Self-driven","Customer-centric mindset","Resilient"]

Own end-to-end data delivery, from source-system analysis and enterprise data architecture to data modeling and production pipeline engineering. Define lake/warehouse/lakehouse designs, implement reliable batch and real-time/streaming pipelines, and embed quality, lineage, and observability. Translate business needs into roadmaps and dashboards, using statistical thinking to uncover trends and ensure decision-ready, analytics-ready data at enterprise scale on Azure.

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FursaFursa
Presight
Presight
2 days ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 14 hours agoStatus: Live
Reposted: similar role first listed 1 month ago

Job Summary

Own end-to-end data delivery, from source-system analysis and enterprise data architecture to data modeling and production pipeline engineering. Define lake/warehouse/lakehouse designs, implement reliable batch and real-time/streaming pipelines, and embed quality, lineage, and observability. Translate business needs into roadmaps and dashboards, using statistical thinking to uncover trends and ensure decision-ready, analytics-ready data at enterprise scale on Azure.
Location: Abu Dhabi
Workplace: Onsite
Employment Type: Full time
Job Function: Solutions Engineering & Sales Engineering
Seniority: Mid level

Key Responsibilities

  • •Own the complete data lifecycle from requirements and architecture through modeling, pipeline engineering, quality, and delivery of analytics-ready data.
  • •Translate business and information needs into roadmaps, then design, build, and operate end-to-end solutions that meet them.
  • •Define target-state data architecture and interfaces, including tooling for automated data loads with security, access control, privacy, and compliance considerations.
  • •Engineer scalable batch and real-time/streaming pipelines, with orchestration, scheduling, automated data-load frameworks, and robust monitoring (logging, alerting, retry).
  • •Apply software engineering and analytics best practices: version control, code review, automated testing/CI-CD for data assets; implement data quality checks, validation, reconciliation, and observability; support reporting and dashboards.
Travel: Low travel

Pay and Benefits

Perks:Health InsuranceEducation SupportPaid Leave

Key Requirements

  • •10+ years of relevant experience across data engineering, data architecture, data modeling, and data analysis.
  • •Bachelor’s degree in Information Technology, Computer Science, or a related field.
  • •Proven experience delivering enterprise-scale data pipelines and platforms in production.
  • •Hands-on mandatory experience with the Microsoft Azure data stack (Azure Data Factory, Azure Databricks/Synapse, ADLS Gen2, Azure SQL).
  • •Strong skills across ETL/ELT, dimensional modeling (star/snowflake), distributed processing, data warehousing/lakehouse architectures, and statistical/data visualization methods.
Experience:10+ yearsData engineeringData architectureData modelingData analyticsBig data
Education:Bachelor's in Information Technology, Computer Science, or a related field
Skills:Problem-solvingCommunicationSelf-drivenCustomer-centric mindsetResilient
Tech Stack:Microsoft AzureAzure Data FactoryAzure DatabricksAzure SynapseADLS Gen2Azure SQLETLELTData lakeData lakehouseData warehousingStar schemaSnowflake schemaData modelingBig dataDistributed processingVersion controlCI/CDData observabilityData quality

Company Brief

Presight
Develops AI and big data analytics solutions for government and enterprise clients, with a focus on predictive intelligence, operational optimization, and large-scale data platforms. The company is based in Abu Dhabi and serves customers across public sector and industry.
Industry: AI & Machine Learning
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: Abu Dhabi, United Arab Emirates
Founded: 2020
WebsiteLinkedIn