Senior Data Engineer - Systems Architecture, Design & Development

Wynn Al Marjan Island; Ras Al Khaimah; On-site; AED 180,000 - 300,000; Full time

Job summary

Wynn Al Marjan Island is seeking a Senior Data Engineer to contribute to its Information Technology team. The role involves developing robust data solutions, collaborating with architects, and ensuring data quality. Candidates should possess strong experience in data engineering, particularly in Python and SQL, with benefits including a competitive salary, healthcare, and attractive incentives.

Benefits

Healthcare

Life Insurance

Incentive Programs

Excellent Leave Policy

Qualifications

• 5 to 7 years of hands-on experience in data engineering.
• Extensive experience managing and optimizing complex data integrations.
• Advanced knowledge of orchestration tools and programming languages.

Responsibilities

• Lead architecture development and solution design sessions.
• Collaborate with cross-functional teams for end-to-end data solutions.
• Drive data quality initiatives and establish standards.

Skills

Python

SQL

Shell Scripting

Data Modeling

Data Governance

API Development

Education

Bachelor’s degree in Computer Science

Master’s degree in related field

Tools

Snowflake

Databricks

Azure Data Factory

GitHub

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 offers 1,530 rooms and suites, 22 restaurants and lounges, a theatre, nightclub, and five-star spa. It is currently under construction on a picturesque island that gracefully curves into the Arabian Gulf.

About The Position

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

The Primary Duties And Responsibilities Of This Role Include:

1. Lead architecture development and solution design sessions, contributing strategic insights to ensure robust, scalable, and efficient data systems.
2. Collaborate with architects and cross-functional teams to design and implement end-to-end data solutions that address complex business needs.
3. Develop advanced data assets, including highly scalable ETL/ELT pipelines, optimized data structures, and dynamic data workflows on Wynn’s cloud infrastructure.
4. Drive data quality initiatives, including sophisticated data profiling, cleansing, and anomaly detection, leveraging advanced tools and methodologies.
5. Establish, enforce, and continuously refine data quality standards while designing automated processes for issue identification and resolution.
6. Act as a technical leader within the team, mentoring junior engineers, conducting detailed code reviews, and setting standards for best practices.
7. Analyze and translate complex business requirements into detailed technical specifications, ensuring solutions align with broader organizational goals.
8. Define, design, and implement advanced data ingestion patterns (batch, real-time streaming, and hybrid) tailored to diverse use cases and business requirements.
9. Lead data modeling initiatives, developing and optimizing both logical and physical data models to support high-performance analytics and operations.
10. Collaborate closely with stakeholders to design and deliver data models that meet advanced operational, analytical, and reporting needs.
11. Drive data governance initiatives by contributing to the design and implementation of robust security, compliance, and data privacy frameworks.
12. Ensure data integrity and quality by embedding validation, anomaly detection, and self-healing mechanisms throughout data workflows.
13. Create comprehensive technical documentation, including data flows, pipeline designs, and operational runbooks to support system maintainability.
14. Evaluate, recommend, and implement cutting-edge data ingestion, integration, and replication tools to enhance the efficiency of cloud-based analytics systems.
15. Lead proof-of-concept projects to assess and introduce innovative data engineering technologies, tools, and frameworks.
16. Design and implement highly reliable real-time data streaming solutions using platforms such as Azure Event Hubs, Kafka, or AWS Kinesis to meet time-sensitive business needs.
17. Develop and maintain complex, reusable ETL/ELT processes that can handle large-scale, dynamic datasets efficiently and securely.
18. Own the maintenance and performance optimization of data ingestion tools, ensuring they meet high availability and reliability standards.
19. Continuously optimize existing data pipelines, identifying and resolving performance bottlenecks to improve scalability and cost-efficiency.
20. Provide advanced support to analytics and data science teams by curating high-quality, well-documented, and accessible datasets tailored to their needs.
21. Lead efforts to monitor and proactively troubleshoot data pipelines, implementing automated alerts and self-healing mechanisms to minimize downtime.
22. Research and propose strategies for adopting emerging trends in data engineering, driving innovation and process improvements.
23. Implement and manage robust CI/CD workflows to automate pipeline deployment, testing, and version control for seamless operations.
24. Regularly upgrade and enhance data ingestion tools, ensuring system resilience and alignment with the latest industry best practices.
25. Contribute to cross-functional projects, demonstrating expertise in serverless architectures, API integration (e.g., FastAPI), and scalable cloud solutions.
26. Drive knowledge-sharing initiatives, such as training sessions and technical presentations, to elevate the team’s overall capabilities and expertise.

About You

The ideal candidate will have the following experience and qualifications:

1. A Bachelor’s degree in computer science, information technology, or a related field; a Master’s degree is preferred but not mandatory.
2. 5 to 7 years of hands-on experience in data engineering, demonstrating career progression and technical growth.
3. Proven ability to design, develop, and deploy highly scalable data solutions for complex business needs.
4. Extensive experience managing and optimizing complex data integrations across diverse systems, platforms, and cloud environments.
5. Advanced proficiency in programming languages such as Python, SQL, and Shell Scripting.
6. Deep expertise in data platforms like Snowflake and Databricks, including extensive experience with PySpark and distributed dataframes.
7. Advanced knowledge of orchestration tools such as Azure Data Factory, Apache Airflow, and Databricks workflows.
8. Experience with tools like DBT and Qlik for data transformation and migration solutions.
9. Strong understanding of big data systems and frameworks for high-volume, high-velocity data.
10. Experience with version control tools such as GitHub or Azure DevOps, including CI/CD pipelines.
11. Knowledge of serverless computing, including Azure Functions with Python.
12. Proficiency in API development frameworks such as FastAPI.
13. Expertise in designing and implementing ETL/ELT processes for performance and scalability.
14. Experience in data warehouse development with dimensional modeling and schema optimization.
15. Excellent English communication skills.
16. Certifications: Snowflake SnowPro Core, Databricks Certified Data Engineer, Microsoft Azure Data Engineer Associate.

Benefits

We offer an attractive salary paid in Dirhams (AED), along with excellent leave policy, healthcare, life insurance, incentive programs, and other employee benefits. Join Wynn Resorts, a renowned global hospitality brand, for a rewarding career.