
Salt
Data Engineering Manager
- Permanent
- Dubai, United Arab Emirates
- Experience 5 - 10 yrs
Job expiry date: 19/11/2026
Job overview
Date posted
05/10/2026
Location
Dubai, United Arab Emirates
Salary
AED 30,000 - 40,000 per month
Compensation
Comprehensive package
Experience
5 - 10 yrs
Seniority
Manager
Qualification
Bachelors degree
Expiration date
19/11/2026
Job description
DZ runs digital goods, ticketing, travel and trading businesses across Iraq, the UAE and KSA, and each vertical has grown its own reporting and its own version of the numbers. Basic questions take days, and the answers do not always agree. This Data Engineering Manager is hired to fix that, building the team and owning the data platform from ingestion through warehouse and modelling to the analytics and semantic layers. A single source of truth for core metrics, agreed with commercial, finance and product, comes first. Self-serve analytics should then answer most questions without a ticket, leaving the team free for platform work. Reliability is treated as a product concern, with freshness SLAs, lineage, testing and alerting that catches upstream breaks before stakeholders do. Governance runs alongside, working with security and legal on access control, retention and PII such as passport and telecom identifiers. Event tracking standards and data contracts lay the groundwork for data science, personalisation, fraud and experimentation. Candidates need 8+ years in software or data engineering, 3+ leading teams, production experience with batch and streaming platforms, deep SQL and dimensional modelling, and comfort with Python, TypeScript, Go, Postgres and AWS.
Required skills
Key responsibilities
- Hire, mentor and grow a team of data and analytics engineers
- Own the technical strategy and architecture for the data platform, from ingestion to the semantic layer
- Establish a single source of truth for core business metrics agreed with commercial, finance and product
- Deliver self-serve analytics so most questions are answered without a ticket
- Run data as a product with freshness SLAs, lineage, testing and upstream alerting
- Govern access control, retention and PII handling with security and legal across markets
- Define event tracking standards that support data science, personalisation, fraud and experimentation
- Design data contracts and instrumentation into services with product and engineering teams
- Lead design reviews across the data platform
- Balance build-vs-buy decisions against warehouse and tooling costs
- Consolidate fragmented reporting across verticals into consistent, reproducible pipelines
Experience & skills
- Bring 8+ years in software or data engineering
- Show 3+ years leading engineering teams, including hiring and growing engineers
- Demonstrate direct experience building and operating a production data platform with batch and streaming ingestion
- Apply strong technical judgment in design reviews and cost tradeoffs
- Master SQL and dimensional modelling
- Work comfortably in a Python, TypeScript, Go, Postgres and AWS environment
- Prove a track record of getting an organisation to agree on metric definitions
- Build access, PII and retention requirements into platform design from the start
- Plan a platform build that avoids foundations needing rework within a year
- Offer experience standing up a data function or supporting ML in production, ideally in MENA e-commerce, payments or fintech (nice to have)