Senior Data Engineer — Enterprise Data & GenAI Platforms

Presight; Abu Dhabi; On-site; AED 300,000 - 480,000; Full time

Benefits offered by this job

Healthcare

Education support

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Job summary

Presight, Abu Dhabi's leading data analytics company, seeks a Senior Data Engineer to own end-to-end data delivery from source analysis to analytics-ready data. You will define target-state architecture, model enterprise data, and build reliable pipelines across multilingual environments with travel to customer sites as required.

Ideal candidates will have 10+ years in data engineering/architecture, hands-on Azure stack expertise (ADF, Databricks/Synapse, ADLS Gen2, SQL), and strong data

Qualifications

• Minimum 10 years of relevant experience across data engineering, data architecture, data modeling, and data analysis.
• Hands-on experience with the Microsoft Azure data stack (Azure Data Factory, Azure Databricks / Synapse, ADLS Gen2, Azure SQL) is mandatory.

Responsibilities

• Own the complete data lifecycle – requirements, sourcing, architecture, modeling, pipeline engineering, quality, and delivery of analytics-ready data.
• Translate business and information needs into delivery roadmaps, then design, build, and operate the solutions that meet them.
• Define the target-state data architecture, infrastructure, and interfaces to data sources, including tooling for automated data loads.
• Design lake / warehouse / lakehouse architecture spanning ingestion, storage, processing, serving, and consumption layers, embedding security, access control, privacy, and compliance considerations.
• Analyze source systems to understand data semantics and develop dimensional models (star and snowflake) from business requirements.

Skills

SQL querying

Data modeling

ETL design

Data warehousing

BI visualization

Education

Bachelor's degree in IT/CS

Tools

Azure Data Factory

Azure Databricks

Azure Synapse

ADLS Gen2

Azure SQL

Job description

Presight, Abu Dhabi's leading data analytics company, seeks a Senior Data Engineer to own end-to-end data delivery from source analysis to analytics-ready data. You will define target-state architecture, model enterprise data, and build reliable pipelines across multilingual environments with travel to customer sites as required.

Ideal candidates will have 10+ years in data engineering/architecture, hands-on Azure stack expertise (ADF, Databricks/Synapse, ADLS Gen2, SQL), and strong data