Data Engineering Manager

Digital Zone

. Build and lead the data team by hiring, mentoring and growing data and analytics engineers.

Posted 11/5/2026full-timeDubai • United Arab EmiratesSeniorLeadWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Demonstrates expertise in building and leading data teams, establishing reliable data platforms, and ensuring governance and compliance in data handling. Proficient in technical strategy, architecture, and delivering self-serve analytics while partnering with cross-functional teams.

Highest-signal resume keywords

Data Platform ArchitectureTeam LeadershipSQL ProficiencyPython ProgrammingData Governance

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data EngineeringDimensional ModellingBatch IngestionStreaming IngestionWarehouse ModellingOrchestrationData ReliabilityFeature PipelinesModel ServingMLOps

Soft Skills

MentoringCollaborationJudgmentCommunicationProblem-Solving

Tools & Technologies

PostgresAWSTypeScriptGo

Industry Keywords

E-CommerceMarketplacePaymentsFintechMENAMulti-Currency ReportingMulti-Market Reporting

Tech Stack

Tools & technologies

AWSPostgresPythonSQLTypeScriptGo

About the role

Key responsibilities & impact

Build and lead the data team by hiring, mentoring and growing data and analytics engineers.
Own the technical strategy and architecture for the data platform, including ingestion, warehouse and modelling, orchestration, and the semantic layer.
Establish a single source of truth for core business metrics with agreed definitions and reproducible, trusted pipelines.
Deliver self-serve analytics so most questions are answered without a ticket.
Own data reliability through freshness SLAs, lineage, testing and alerting.
Partner with security and legal on governance, access control, retention and PII handling across markets.
Build foundations for event tracking standards, experimentation, data science, personalisation, fraud and risk.
Partner with product and engineering teams to design instrumentation and data contracts into services.

Requirements

What you’ll need

8+ years in software or data engineering with 3+ years leading engineering teams, including hiring and growing engineers.
Direct experience building and operating a production data platform: batch and streaming ingestion, warehouse modelling, orchestration, and the operational discipline to keep it reliable at scale.
Strong hands-on technical judgment to lead design reviews and make build versus buy and cost tradeoffs on warehouse and tooling spend.
Deep SQL and dimensional modelling, and comfortable in a Python, TypeScript, Go, Postgres and AWS environment.
A track record of getting an organisation to agree on metric definitions, not just of shipping pipelines.
Governance instincts: access, PII and retention treated as design inputs rather than as an audit exercise.
The judgment to sequence a platform build so the business sees value early, without laying a foundation that has to be torn up in a year.
Experience standing up a data function from zero, or consolidating fragmented reporting across business units.
Analytics experience on e-commerce, marketplace, payments or fintech products.
Experience supporting data science and ML in production: feature pipelines, model serving, or MLOps.
MENA or emerging-market experience, including multi-currency and multi-market reporting.

Benefits

Comp & perks

Immediate, large-scale impact on a high-growth business
Top-of-the-market compensation packages
Work alongside top regional talent, with team members from Talabat, Careem, Etisalat, and more