HiringCafe
Posted 1w ago

Data Engineer (Dubai, AE)

@ Wasl
View All Jobs
Dubai, Dubai, United Arab Emirates
OnsiteFull Time
Responsibilities:designing pipelines, building datasets, ensuring quality
Requirements Summary:Bachelor's degree, 5+ years data engineering experience, strong SQL and Python skills, experience building scalable ETL/ELT pipelines, cloud data platform experience (Azure preferred), and familiarity with data quality, observability, and infrastructure-as-code.
Technical Tools Mentioned:Azure, Terraform, ARM, Bicep, GitHub Actions, Azure DevOps, Azure Data Factory, Spark, Hadoop, SQL, Python, Scala, Fabric
Save
Mark Applied
Hide Job
Report & Hide
Job Description

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:


 










































Technical Skill

Proficiency Level

Data Pipeline Development (ETL/ELT)

Advanced

SQL and Relational Databases

Advanced

Big Data Technologies (Spark, Hadoop)

Advanced

Cloud Platforms (Azure preferred)

Intermediate

Data Warehousing (Fabric preferred)

Advanced

Programming (Python, Scala)

Advanced

Data Orchestration

Advanced

Data Quality and Governance

Intermediate

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.