Data Engineer

About Us 

Born from the vision to elevate Dubai's global prominence, Wasl was founded on May 25, 2008, with the mission to transform the city into an even more captivating destination for residents, businesses, and visitors alike. Created from the union of the Dubai Development Board and Real Estate Department, Wasl embarked on a journey of seamless integration. This strategic merger not only streamlined operations but also empowered our team with enhanced expertise, enabling us to adopt dynamic, market-driven investment strategies.

Today, Wasl stands tall as a cornerstone of Dubai's real estate landscape. As one of the city's largest and most diversified real estate management companies, we proudly oversee an expansive portfolio of landmark assets, entrusted to us by DREC and other esteemed partners. 

1. JOB DETAILS

Job Title: Data Engineer
Reporting Line: Sr. Data Engineer
Division: Support Services - Business Excellence and IT
Department: Information Technology

2. POSITION SUMMARY

The Data Engineer designs, builds, and optimizes scalable data pipelines and platforms that enable advanced analytics, BI, and AI use cases across the organization.
This role ensures data availability, quality, lineage, and reliability, while leveraging modern cloud‑native architectures and engineering best practices.
The Data Engineer collaborates closely with data scientists, BI analysts, and business teams to deliver secure, governed, and high‑performance data solutions.

3. JOB DIMENSIONS

Direct Reports: 0
Total Reports: 0

4. KEY RESPONSIBILITIES AND PERFORMANCE STANDARDS

A. Data Pipeline & Platform Engineering

• Design, develop, and maintain scalable batch and real‑time pipelines (ELT/ETL).
• Implement data ingestion patterns (APIs, streaming, file‑based, CDC).
• Build and maintain data lakes, lakehouse layers, and curated datasets.
• Develop high‑performance SQL/Python code optimized for large datasets.

B. Data Reliability, Quality & Observability

• Implement data validation frameworks (unit tests, schema checks, reconciliation).
• Set up monitoring, alerting, and logging using observability tools.
• Improve pipeline performance, optimize compute/storage costs, and ensure SLA adherence.
• Contribute to data quality rules, governance, and metadata management.

C. Cloud & Infrastructure Engineering

• Develop and deploy data solutions on cloud platforms (preferably Azure).
• Build infrastructure‑as‑code (Terraform, ARM, Bicep) for repeatable deployments.
• Implement CI/CD pipelines for data workflows (GitHub Actions, Azure DevOps).
• Manage orchestration (preferable Azure Data Factory).

D. Collaboration & Delivery

• Partner with data scientists to prepare training datasets and MLOps pipelines.
• Work with BI teams to provide optimized semantic layers and analytical datasets.
• Participate in design reviews, architecture discussions, and sprint planning.

E. Documentation & Standards

• Maintain technical documentation, data dictionaries, lineage, and mappings.
• Contribute to engineering standards, best practices, and reusable templates.

Key Technical Skills and Proficiency Levels:

5. COMMUNICATIONS AND WORKING RELATIONSHIPS

- Internal: Collaborates with Data Scientists, BI Analysts, and business stakeholders.
- External: May interact with technology vendors and service providers.

6. CONTEXT, WORK ENVIRONMENT AND DECISION-MAKING AUTHORITY

Operates in a fast-paced digital environment with a focus on data reliability and performance. Makes technical decisions related to data pipeline design and optimization under the guidance of the Data Engineering Manager.

7. FINANCIAL RESPONSIBILITIES

No direct financial responsibilities. Supports cost-effective data infrastructure solutions.

8. SELECTION CRITERIA

Essential:
- Bachelor’s degree in Computer Science, Engineering, or related field
- 5+ years of experience in data engineering
- Proficiency in SQL and Python
- Experience with cloud data platforms

Desirable:
- Master’s degree
- Experience with real-time data processing
- Knowledge of data governance practices

Our Values 

At Wasl, we are more than just a real estate company. We are active contributors to Dubai's thriving economy, fostering enduring relationships with our valued stakeholders. Our customer-centric approach is rooted in trust, respect, and a relentless pursuit of innovation in every aspect of asset management.