Lead Data Engineer

Wynn Al Marjan Island; Ras Al Khaimah; On-site; AED 120,000 - 200,000; Full time

Job summary

A luxury beachside resort in the UAE is seeking a Lead Data Engineer to join its IT team. The role demands extensive experience in building and managing complex data platforms, utilizing cloud-native solutions and leading cross-functional projects. Candidates should possess strong skills in Python, SQL, and various data orchestration tools. Attractively compensated, the position offers a comprehensive benefits package along with opportunities for career development.

Benefits

Attractive salary

Paid leave

Healthcare package

Life insurance

Incentive programs

Qualifications

• 10+ years of hands-on experience in data engineering roles.
• Strong experience designing cloud-native data solutions.
• Advanced proficiency in Python and SQL.

Responsibilities

• Lead the end-to-end architecture, design, and implementation of data platforms.
• Collaborate with cross-functional teams to deliver data solutions.
• Oversee the development and optimization of ETL/ELT processes.

Skills

Data engineering

Cloud-native solutions

Python

SQL

ETL/ELT processes

Data orchestration

Automation scripting

Education

Bachelor's degree in computer science or related field

Tools

Snowflake

Azure Data Factory

Databricks

Apache Airflow

Job description

About Wynn Al Marjan Island

On schedule to open in the United Arab Emirates in early 2027, Wynn Al Marjan Island has been created as an opulent and entertaining beachside destination for discerning guests to play and relax. Located less than 50 minutes from Dubai International Airport, this integrated resort offering 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.

About The Position

Wynn Al Marjan Island is currently seeking a Lead Data Engineer to join the resort’s Information Technology team.

The Primary Duties And Responsibilities Of This Role Are

• Lead the end-to-end architecture, design, and implementation of advanced data platforms and pipelines, ensuring performance, reliability, and scalability.
• Collaborate with cross-functional teams including architects, data scientists, analysts, and business leaders to deliver robust data solutions.
• Oversee the development and optimization of highly scalable ETL/ELT processes on cloud infrastructure using technologies such as Snowflake, Databricks, and Azure Data Factory.
• Drive initiatives for data quality, profiling, validation, and monitoring through automated and intelligent anomaly detection systems.
• Define and enforce data engineering best practices, coding standards, and reusability principles across the team.
• Translate complex business requirements into well-architected technical solutions, ensuring alignment with enterprise strategy.
• Design and manage both batch and real-time data ingestion and streaming pipelines using tools like Kafka, Event Hubs, or Kinesis.
• Lead enterprise data modeling efforts, optimizing logical and physical data models for analytics, operations, and machine learning readiness.
• Build scalable and governed data lakes, lakehouses, and data marts to support a wide variety of data consumers.
• Champion data governance practices, collaborating with compliance teams to embed security, privacy, and integrity controls across all pipelines.
• Integrate automated data quality frameworks and implement self-healing mechanisms for improved reliability and performance.
• Produce comprehensive documentation including architectural diagrams, data flow maps, runbooks, and lineage tracking artifacts.
• Evaluate and implement cutting-edge tools and frameworks for data ingestion, transformation, orchestration, and observability.
• Lead pilot projects to validate emerging technologies, accelerating innovation within the organization.
• Develop and maintain low-latency, real-time data streaming solutions to support critical business operations and decision-making.
• Design modular, reusable, and parameterized pipelines to support multiple data domains and scale with business growth.
• Ensure system uptime and SLAs are met by proactively maintaining and optimizing performance and reliability of ingestion tools.
• Continuously improve pipeline efficiency by identifying performance bottlenecks and reducing compute/storage costs.
• Collaborate with analytics and data science teams to deliver curated, production-grade datasets that drive meaningful insights.
• Build comprehensive monitoring, logging, and alerting systems for pipelines to ensure real-time awareness and minimal downtime.
• Stay current with data engineering trends, tools, and methodologies; propose adoption strategies and roadmap enhancements.
• Implement DevOps best practices in the data lifecycle, including CI/CD for pipelines, automated testing, and version control.
• Regularly assess and upgrade data engineering tools and services to remain aligned with industry best practices and innovation.
• Participate in enterprise initiatives involving serverless architectures, REST/GraphQL APIs, and cloud-native microservices.
• Facilitate internal knowledge sharing via technical workshops, peer reviews, and training sessions for continuous team development.
• The ideal candidate for this position will have the following experience and qualifications:
  
  

About You

• A bachelor's degree in computer science, information technology, or a related field is required; a master's degree is preferred but not mandatory.
• 10+ years of hands-on experience in data engineering roles, including 3+ years in architectural capacity.
• Proven track record of building, scaling, and leading complex data engineering platforms in enterprise environments.
• Strong experience designing cloud-native data solutions (Azure preferred), including data Lakehouse architectures.5 to 7 years of hands-on experience in data engineering, demonstrating consistent career progression and technical growth.
• Advanced proficiency in Python and SQL, with strong skills in performance tuning, modular coding, and automation scripting (e.g., Bash, PowerShell).
• Deep expertise in cloud-native data platforms such as Snowflake, Azure Synapse, and Databricks, with extensive hands-on experience in PySpark and distributed computing.
• Strong command of data orchestration tools like Apache Airflow, Azure Data Factory, and Databricks Workflows for managing complex multi-stage data pipelines.
• Proficient in using DBT for transformation logic and data modeling; experience with data replication platforms like Qlik Replicate or Fivetran is highly desirable.
• In-depth understanding of big data processing architectures and frameworks for handling high-throughput and low-latency requirements.
• Strong background in version control systems (GitHub, Azure DevOps) and automation pipelines (CI/CD) for infrastructure and code deployments.
• Advanced understanding of serverless technologies and microservices using Azure Functions, APIs (FastAPI or Flask), and event-driven systems.
• Expertise in creating secure, well-documented APIs for internal data access and external integrations.
• Demonstrated ability to build, document, and maintain highly maintainable and scalable ETL/ELT pipelines.
• Solid experience in dimensional modeling, star/snowflake schemas, and best practices for data warehouse development.
• Strong written and verbal communication skills in English, with the ability to influence, mentor, and align technical teams and stakeholders.
  
  

Certification Required

• Snowflake SnowPro Core Certification
• Databricks Certified Data Engineer Professional
• Microsoft Azure Data Engineer Associate
• Azure Solutions Architect Expert
  
  

About Wynn Al Marjan Island’s Benefits

We offer an attractive salary, paid in Dirhams (AED), the local currency of the UAE. In addition, we offer an excellent leave policy, a healthcare package and as well as life insurance, incentive programs, and other employee benefits. The result is a package that makes this role highly attractive to outstanding applicant s seeking a career with Wynn Resorts, among the most renowned and celebrated brands in the global hospitality industry.