Manager - Data Engineering

Department of Finance - Abu Dhabi; Dubai; On-site; AED 120,000 - 200,000; Full time

Job summary

A governmental finance department in Dubai seeks a specialist to oversee Azure data platforms. The role involves architecting data solutions, implementing quality frameworks, and managing migration processes. Ideal candidates will have strong experience with Azure, SQL, and data pipeline management. This position also requires mentoring teams and aligning data strategies with business objectives.

Qualifications

• Experience with Azure data platforms, Data Factory, and Databricks.
• Skills in SQL, Python, and Scala for data quality frameworks.
• Ability to mentor teams and engage with stakeholders.

Responsibilities

• Architect and manage Azure data platforms and pipelines.
• Implement data quality frameworks and performance tuning.
• Lead cross-functional teams to meet business objectives.

Job description

Overview

Architect and oversee end to end Azure data platforms, including Data Factory, Databricks or similar, ensuring scalability, security, and cost efficiency. Define and execute the enterprise data strategy and maturity roadmap, moving the organization from ad hoc reporting to fully productized, governed data services. Design, build, and manage high throughput data pipelines and ELT workflows with automated CI / CD. Lead migration of legacy EDWs and SSIS / ETL workloads to modern Azure architectures, balancing lift and shift and refactor approaches. Develop domain-aligned data marts and semantic layers powering BI, AI, and real time decisioning at 100 TB scale.

Champion a “data as a product” operating model with dataset ownership, SLAs, observability, lineage (Purview), and version-controlled contracts. Implement robust data quality frameworks, test automation, and performance tuning in SQL, Python, and Scala to guarantee reliable, audit-ready data. Establish secure architectures with RBAC, private endpoints, encryption, and FinOps practices for optimal spend management. Integrate streaming and event-driven data (Kafka / Event Hubs, Azure Functions) into real time analytics and AI workloads. Mentor and lead cross-functional squads of data engineers, analytics engineers, and SREs; align delivery to business OKRs and foster a culture of continuous improvement. Engage finance and analytics stakeholders to translate business requirements into governed, reusable data products and services. Perform other duties as requested by leadership.

Qualifications and Experience Required