7 Data Integrity jobs in Bahrain

VAM Systems

is a Business Consulting, IT Solutions and Services company.

VAM Systems

is currently looking for
Data Quality / Data Governance specialist

for our
Bahrain

operations with the following skillsets & terms and conditions:

Education

• Minimum bachelor's degree in engineering, MSC in Data & Analytics, or relevant discipline.

Experience

• Minimum of 5-year experience in banking or financial services.

Skills

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.

• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.

• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within business organizations.

• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and raw data sets using SQL , SAS, Oracle SQL.

• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.

• Project Management: very good understanding of project management imperatives and adherence to the processes.

• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.

• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3.

Responsibilities

• Performed data profiling and quality assessments across different departments and systems to uncover data inconsistencies, duplication, and integrity issues.

• Defined and documented Critical Data Elements (CDEs) in collaboration with business, compliance, risk, IT teams, etc. ensuring alignment with business needs and regulatory requirements.

• Partnered with stakeholders from IT, Operations, and Compliance to conduct root cause analysis of identified data quality (DQ) issues, define DQ rules, and support scalable remediation strategies.

• Contributed to the implementation of MDM and RDM solutions to ensure consistent and unified customer and financial reference data across business lines.

• Built dynamic Power BI dashboards for senior management, presenting data quality scores, issue trends, and remediation progress by business unit, with drilldowns for recurring root causes.

• Contributed to bulk data cleansing initiatives using authoritative external government datasets to validate and enrich customer and account data, enhancing quality for both regulatory and business reporting.

• Authored comprehensive Business Requirement Documents (BRDs) for data quality remediation projects.

• Initiated data cataloguing practices in Microsoft Purview, enabling improved metadata management

Terms and conditions

Joining time frame: days)

The selected candidates shall join VAM Systems – Bahrain and shall be deputed to one of the leading
Banks
in Bahrain.

Should you be interested in this opportunity, please send your latest resume at the earliest

Job Description
We are
currently looking for
Data Quality / Data Governance specialist
for our
Bahrain
operations with the following skillsets & terms and conditions:

Education

• Minimum bachelor's degree in engineering, MSC in Data & Analytics, or relevant discipline.

Experience

• Minimum of 5-year experience in banking or financial services.

Skills

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.
• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.
• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within business organizations.
• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and raw data sets using SQL , SAS, Oracle SQL.
• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.
• Project Management: very good understanding of project management imperatives and adherence to the processes.
• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.
• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3.

Responsibilities

• Performed data profiling and quality assessments across different departments and systems to uncover data inconsistencies, duplication, and integrity issues.
• Defined and documented Critical Data Elements (CDEs) in collaboration with business, compliance, risk, IT teams, etc. ensuring alignment with business needs and regulatory requirements.
• Partnered with stakeholders from IT, Operations, and Compliance to conduct root cause analysis of identified data quality (DQ) issues, define DQ rules, and support scalable remediation strategies.
• Contributed to the implementation of MDM and RDM solutions to ensure consistent and unified customer and financial reference data across business lines.
• Built dynamic Power BI dashboards for senior management, presenting data quality scores, issue trends, and remediation progress by business unit, with drilldowns for recurring root causes.
• Contributed to bulk data cleansing initiatives using authoritative external government datasets to validate and enrich customer and account data, enhancing quality for both regulatory and business reporting.
• Authored comprehensive Business Requirement Documents (BRDs) for data quality remediation projects.
• Initiated data cataloguing practices in Microsoft Purview, enabling improved metadata management

Terms and conditions
Joining time frame: days)

Role: Data Quality specialist

location- Bahrain

Domain- Banking and finance Mandatory

Relevant Experience- 5 + years

Data Quality Specialist comprehensive grasp of data governance processes, Master Data Management, Reference Data Management, Data Profiling and Data Quality(DQ) rules, and Data Warehousing. (3+ Years).

Experience in identifying, assessing, monitoring, controlling, and mitigating Data Quality issues and risks. (3+ years).

Profound experience in defining and rolling out Data Quality (DQ) Management Framework, processes, policies and standards within the (business) organization (3+ years).

Excellent quantitative data analysis, including the ability to draw insights from existing quantitative data quality reports & dashboards, as well as explore & summarize 'raw' data sets to discover insights using SQL and SAS (3+ years)

Profound understanding of Banking (preferably Islamic Banking) and Financial products, related data and regulatory reporting requirements. (3+ years)

Robust project management skills to define & drive technology process improvement projects leveraging virtual teams to deliver permanent data quality improvements to data capture systems.(5+ years)

Compelling organizational and communication skills to drive the adoption of data quality within the organization by synthesize complex information and explain it in simple, compelling ways to users (IT and Business users).

Defining and rolling out Data Quality (DQ) Management Framework, processes, policies and standards within the (business) organization.

Identifying, capturing, monitoring of data quality, identifying root-causes based on data analysis combined with banking and financial knwoledge, define data quality remediations in cooperation with IT and Business stakeholders.

Overseeing the complete data lifecycle – from data creation and capture, to data processing, storage, and usage. Develop SQL Server T-SQL procedures/functions for batch processing as well as reports, in line with user requirements.

Job Description

VAM Systems is currently looking for Data Quality and MDM specialist for our Bahrain operations with the following skillsets & terms and conditions:

Skilled and competent with the following:

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.
• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.
• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within
• business organizations.
• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and
• raw data sets using SQL , SAS, Oracle SQL.
• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.
• Project Management: very good understanding of project management imperatives and adherence to the processes.
• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.
• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3

Terms and conditions

Joining time frame: days)

Job Description
VAM Systems
is currently looking for
Data Quality and MDM specialist
for our
Bahrain
operations with the following skillsets & terms and conditions:

Skilled and competent with the following:

• Data Governance & Management: Expertise in data governance processes, including Master Data Management (MDM), Reference Data Management, Data Profiling, and Data Quality (DQ) rules, with over 4 years of experience.
• Data Quality & Risk Mitigation: Proficient in identifying, assessing, monitoring, and mitigating Data Quality issues and risks.
• Data Quality Frameworks: Extensive experience in defining and implementing Data Quality Management Frameworks, processes, policies, and standards within
• business organizations.
• Quantitative Data Analysis: Advanced skills in quantitative data analysis, drawing insights from data quality reports, dashboards in Power BI and Tableau, and
• raw data sets using SQL , SAS, Oracle SQL.
• Banking & Financial Data: In-depth understanding of Banking and Financial products, associated data, and regulatory reporting requirements.
• Project Management: very good understanding of project management imperatives and adherence to the processes.
• Organizational & Communication Skills: Simplifying complex information and effectively communicating it to both IT and business users.
• Cloud services: AWS services including Amazon Glue, Glue catalogue, Aws Step function, AWS Athena, and S3

Terms and conditions
Joining time frame: days)

• Develop, test, and validate sophisticated statistical and machine learning models for financial risk assessment.
• Extract, clean, and transform large datasets from various internal and external sources.
• Perform in-depth data analysis to identify trends, patterns, and potential risk exposures.
• Design and generate insightful reports and dashboards for senior management and regulatory bodies.
• Collaborate with business stakeholders to understand their data needs and translate them into analytical solutions.
• Stay abreast of industry best practices, emerging analytical techniques, and regulatory changes impacting financial risk management.
• Automate data processes and reporting mechanisms to improve efficiency and accuracy.
• Provide expert guidance and mentorship to junior analysts.
• Document methodologies, assumptions, and results of analytical projects.
• Contribute to the enhancement of the firm's risk management framework and data governance policies.

• Master's degree or Ph.D. in Statistics, Mathematics, Economics, Data Science, or a related quantitative field.
• Minimum of 5 years of experience in data analysis, preferably within the banking or financial services industry.
• Proven expertise in statistical modeling, predictive analytics, and machine learning algorithms.
• Strong proficiency in programming languages such as Python or R, and experience with SQL for data manipulation.
• Experience with data visualization tools (e.g., Tableau, Power BI) and building effective dashboards.
• Solid understanding of financial instruments, markets, and regulatory frameworks (e.g., Basel Accords).
• Excellent problem-solving skills and the ability to interpret complex data into actionable insights.
• Strong communication and interpersonal skills, with the ability to explain technical concepts to non-technical audiences.
• Experience working in a remote, collaborative team environment.
• Ability to manage multiple projects simultaneously and deliver results under pressure.