Data Engineering Manager
- Hiring from
- United Arab Emirates
- Work type
- Remote
- Posted
624,892 remote jobs, straight from company career pages
100% free · New jobs every minute
Show job descriptionHide job description
Data Engineering Manager
Remote Role (Must align with UAE working hours)
Our client is searching for our Data Engineering Manager to establish, scale, and lead the data engineering organization. In this role, you will define the core data platform architecture, grow a high-performing engineering team, and build a trusted single source of truth across the business.
What You’ll Do:
- Hire, mentor, and develop a high-caliber team of data and analytics engineers.
- Own end-to-end data platform strategy ... batch and streaming ingestion, warehousing, orchestration, and semantic modeling.
- Partner with Product, Finance, and Commercial leadership to align on core business metrics and ensure reliable, reproducible data delivery.
- Drive self-serve capabilities to eliminate ad-hoc querying bottlenecks; treat data as a product with automated testing, freshness SLAs, and proactive alerting.
- Embed multi-jurisdiction compliance, access control, and sensitive PII handling into core architecture rather than treating compliance as an afterthought.
- Partner with software engineering on upstream data contracts, event tracking, and foundational data for experimentation, ML, and fraud detection.
What You’ll Bring
- 8+ years in software or data engineering
- 3+ years directly managing, hiring, and mentoring engineering teams
- Proven hands-on experience designing and operating scaled production data platforms. Strong command of SQL, dimensional modeling, and modern cloud stacks (e.g., AWS, Postgres, Python, Go, or TypeScript).
- Skilled at build-versus-buy trade-offs, cloud cost optimization, and sequencing platform milestones for early business value.
- A demonstrated history of driving organizational consensus on data definitions and operationalizing data contracts across product teams.
- Deep understanding of data privacy, retention policies, and securing sensitive data across international regulatory environments.
