Head of Data Engineering | Latinum HR Solutions | Dubai, UAE

Job Title: Head of Data Engineering | Latinum HR Solutions | Dubai, UAERecruiting Company: Latinum HR Solutions (on behalf of a leading fintech organization)Job Location: Dubai, United Arab Emirates (Hybrid)Job Type: Full-Time | Hybrid | Confidential SearchCompensation: AED 45,000 – 55,000 per monthApplication Method: Email your CV to jobs@latinumhr.comSubject Line: Head of Data Engineering – DubaiPosition SummaryThe Head of Data Engineering will lead the architecting and scaling of a next‑generation cloud‑native data platform for a high‑growth fintech enterprise. This role is pivotal in shaping the company’s data strategy, ensuring the foundation for AI, analytics, and digital banking innovation. You will be responsible for building enterprise‑grade data infrastructure from zero—no legacy constraints, no maintenance backlog.Detailed Job DescriptionAs the Head of Data Engineering, you will spearhead the design and development of cutting‑edge data ecosystems that power real‑time insights, advanced analytics, and AI‑driven initiatives. You will work closely with senior technology and business leadership to define the enterprise data vision and translate it into robust, scalable architectures. Leading a high‑performing engineering team, you will drive best practices in data governance, security, modeling, and pipeline engineering across cloud‑native environments. The role provides the opportunity to shape foundational data capabilities in a fintech that is investing heavily in digital transformation. This is a strategic, hands‑on leadership role with visibility at the executive level and significant long‑term growth potential.Key ResponsibilitiesDefine and execute the company’s enterprise‑wide data engineering strategyArchitect scalable batch and real‑time data pipelines across cloud platformsLead the design and implementation of data lakes and data warehouses (Snowflake, BigQuery, or Redshift)Oversee ETL/ELT frameworks, data modeling standards, and workflow orchestrationEstablish and enforce data governance, data quality, and security best practicesBuild, mentor, and scale a high‑performing data engineering teamPartner with AI, Analytics, and Product teams to enable advanced data‑driven capabilitiesDrive continuous optimization, innovation, and automation across the data ecosystemRequired Qualifications & Skills12–15 years of experience in data engineering, with significant exposure to large‑scale systems5+ years in senior leadership or head‑of‑function rolesExpert‑level experience with AWS, Azure, or GCPStrong hands‑on expertise with Spark, Kafka, Airflow, and dbtProven experience designing cloud‑native enterprise data architecturesBackground in fintech, digital banking, or large‑scale digital platforms (strongly preferred)Strong stakeholder management, communication, and architectural decision‑making skillsNice‑to‑Have SkillsExperience working in regulated financial environmentsKnowledge of MLOps, feature stores, or AI infrastructureExposure to data mesh or distributed data product architecturesCertifications in cloud architecture (AWS, Azure, or GCP)Experience scaling teams in high‑growth or hyper‑scale environmentsRecruitment Pro TipHighlight specific examples of data platforms or pipelines you have built from scratch—especially those that supported AI, analytics, or real‑time decisioning, as this demonstrates the exact strategic engineering leadership this role demands.#J-18808-Ljbffr