Data Engineering Manager

About the role

DZ operates across digital goods, ticketing, travel and trading in Iraq, the UAE and KSA, where each vertical has built its own reporting and metric definitions. This manager builds and leads the team that turns DZ's data into something the business can run on, owning the data platform end to end and making trusted data a reliable capability for the wider organisation.

Key responsibilities

• Hire, mentor and grow data and analytics engineers, and set the standard for a function every other team depends on daily.
• Own the technical strategy and architecture: ingestion from operational systems and third parties, warehouse and modelling, orchestration, and a semantic layer that keeps metrics consistent across verticals.
• Establish a single source of truth for core business metrics, with definitions agreed with commercial, finance and product and reproducible pipelines.
• Deliver self-serve analytics so most questions are answered without a ticket, freeing the team for platform work.
• Treat data as a product: freshness SLAs, lineage, testing and alerting that fires when something breaks upstream.
• Partner with security and legal on governance, access control, retention and PII handling across markets with different regulations.
• Build foundations for the next stage: event tracking standards, experimentation and data for data science, personalisation, fraud and risk.
• Work with product and engineering teams so instrumentation and data contracts are designed into services.

Required profile

• 8+ years in software or data engineering, including 3+ years leading engineering teams and hiring engineers.
• Direct experience building and running a production data platform: batch and streaming ingestion, warehouse modelling, orchestration.
• Track record of getting an organisation to agree on metric definitions.
• Nice to have: experience setting up a data function from scratch or consolidating fragmented reporting; e-commerce, marketplace, payments or fintech analytics; supporting data science and ML in production; MENA or emerging-market experience.

Required skills

• Deep SQL and dimensional modelling
• Python, TypeScript, Go, Postgres and AWS
• Technical judgment to lead design reviews and make build-versus-buy and cost trade-offs

What we offer

• Immediate, large-scale impact on a high-growth business
• Top-of-the-market compensation packages
• Working alongside regional talent from companies such as Talabat, Careem and Etisalat