Wasl

2 weeks ago

Data Governance Engineer (Dubai, AE)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Design, build, and operate the tooling that enables Wasl’s data governance program. Configure governance platforms (catalogs, business glossaries, metadata, lineage), engineer automated data quality rules with monitoring and remediation workflows, and embed governance controls into pipelines across data lakes, warehouses, ETL/ELT, and APIs. Partner with data engineering, data stewards, and business teams to improve quality, reliability, and compliance while driving adoption of governance standards.

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Mid level

Key Responsibilities

•Design, configure, and maintain data governance platforms, including catalog, glossary, and workflow setup.
•Engineer automated data quality rules, monitoring, and alerting using tools such as Soda, Great Expectations, or Collibra DQ, with remediation workflows and SLA tracking.
•Build and automate metadata capture and end-to-end data lineage across data sources, pipelines, and reports.
•Implement data classification and tagging, and configure role-based access and stewardship workflows within governance tooling.
•Embed governance controls into data pipelines and data flows across data lakes, warehouses, ETL/ELT, and APIs in partnership with data engineering.

Key Requirements

•Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
•Minimum 4-6 years of experience in data engineering, data management, or data governance engineering roles.
•Hands-on experience configuring data governance platforms (Collibra, Alation, Informatica, or Microsoft Purview).
•Strong SQL and scripting (Python or similar) with experience using data quality tooling.
•Sound understanding of data governance principles, metadata management, and data lineage.

Experience:4-6 yearsData engineeringData governance

Education:Bachelor's

Skills:CollaborationRoot-cause analysis

Certifications:DAMA CDMPCloud data engineeringCollibraPurview

Tech Stack:CollibraAlationInformaticaMicrosoft PurviewSodaGreat ExpectationsCollibra DQSQLPythonAzureAWSGCPData lakesData warehousesETL/ELTAPIsData catalogsBusiness glossariesMetadataData lineage

Company Brief

Wasl

Wasl is a Dubai-based real estate developer and asset manager owning, developing and managing residential, commercial, retail, logistics and hospitality properties across the Emirate, focused on long-term property management and urban development.

Industry: Real Estate Development

Company Size: Enterprise (1,001+ employees)

Growth: Government & Public Sector

Funding: Government Funded

Headquarters: Dubai, United Arab Emirates

Founded: 2008

Website LinkedIn

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Wasl

2 weeks ago

Data Governance Engineer (Dubai, AE)

✓ Verified Job

Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 9 hours agoStatus: Live

Job Summary

Location: Dubai

Workplace: Onsite

Employment Type: Full time

Job Function: Sales

Seniority: Mid level

Key Responsibilities

•Design, configure, and maintain data governance platforms, including catalog, glossary, and workflow setup.
•Engineer automated data quality rules, monitoring, and alerting using tools such as Soda, Great Expectations, or Collibra DQ, with remediation workflows and SLA tracking.
•Build and automate metadata capture and end-to-end data lineage across data sources, pipelines, and reports.
•Implement data classification and tagging, and configure role-based access and stewardship workflows within governance tooling.
•Embed governance controls into data pipelines and data flows across data lakes, warehouses, ETL/ELT, and APIs in partnership with data engineering.

Key Requirements

•Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
•Minimum 4-6 years of experience in data engineering, data management, or data governance engineering roles.
•Hands-on experience configuring data governance platforms (Collibra, Alation, Informatica, or Microsoft Purview).
•Strong SQL and scripting (Python or similar) with experience using data quality tooling.
•Sound understanding of data governance principles, metadata management, and data lineage.

Experience:4-6 yearsData engineeringData governance

Education:Bachelor's

Skills:CollaborationRoot-cause analysis

Certifications:DAMA CDMPCloud data engineeringCollibraPurview

Tech Stack:CollibraAlationInformaticaMicrosoft PurviewSodaGreat ExpectationsCollibra DQSQLPythonAzureAWSGCPData lakesData warehousesETL/ELTAPIsData catalogsBusiness glossariesMetadataData lineage

Company Brief

Wasl

Industry: Real Estate Development

Company Size: Enterprise (1,001+ employees)

Growth: Government & Public Sector

Funding: Government Funded

Headquarters: Dubai, United Arab Emirates

Founded: 2008

Website LinkedIn