Sr Data & Governance Engineer (Offshore)

1/27/2026

The Sr Data & Governance Engineer will be responsible for managing data governance and quality assessment practices while building scalable data pipelines. They will also implement best practices for data governance and security.

Working Hours

40 hours/week

Company Size

51-200 employees

Language

English

Visa Sponsorship

About The Company

VAM Systems is a Business Consulting, Technology Solutions and Professional Services organization working with major organizations in USA, UAE, Bahrain, India, Singapore and Australia. Delivers leading edge information and communication technology based business solutions to enable our clients to continuously stay ahead and achieve sustainable profit and consistent growth by leveraging new channels of customer engagement and service delivery as well as better and efficient employment of resources and processes with measurable parameters for performance. While our local presence assists us in better understanding of the local needs, our global presence assist us to offer solutions strengthened by experience in leading markets globally.

About the Role

Job Description

VAM Systems is currently looking for Sr Data & Governance Engineer (Offshore) for our UAE operations with the following skillsets & terms and conditions:

Experience : 6+ years

Mandatory Skills

Expertise in Data Management, Enterprise data modelling, governance & data quality assessment practices. Understanding of DAMA – DMBOK subject areas and ability to work on those areas.
DAMA certification.
Expertise in building and managing scalable data pipelines on platforms like AWS and Databricks
Strong hands-on experience in ETL development, data integration, and real-time data streaming
Proficiency in Python, SQL and other relevant programming languages
Experience with data engineering tools and frameworks like Databricks and Apache Spark
Knowledge of data modeling, data warehousing, and data lake architecture Experience in designing and implementing AWS cloud data and analytics architecture
Understanding of data governance frameworks and best practices
Ability to automate data preparation, integration tasks, and implement best practices for data governance and security
Hands-on experience with automated testing and continuous monitoring for data pipelines

Good to Have:

Certification in cloud platforms such as AWS and Databricks INTERNAL
Experience with DevOps practices in data engineering, including CI/CD for data pipelines
Strong collaboration skills with data scientists, IT teams, and business stakeholders

Terms and conditions

Joining time frame: (15 - 30 days)

Key Skills

Data ManagementEnterprise Data ModellingGovernanceData Quality AssessmentDAMA CertificationData PipelinesAWSDatabricksETL DevelopmentData IntegrationReal-Time Data StreamingPythonSQLData Engineering ToolsData WarehousingData Lake ArchitectureData Governance