19 Data Cleaning jobs in Abu Dhabi

We are seeking a seasoned Business Data Cloud expert to spearhead data management strategy implementation and optimization for our clients.

• Prioritize data quality, accuracy, and consistency across organizational systems
• Develop and implement comprehensive data governance frameworks, architectures, and standards in collaboration with stakeholders
• Foster data-driven decision-making through the efficient use of data resources

• Bachelor's degree in Computer Science, Information Systems, or related field
• 3-5 years of experience with SAP Business Data Cloud or similar data management platforms
• Proven expertise in data modeling, data transformation processes, ETL tools, and data visualization techniques
• Strong knowledge of cloud-based data architecture and best practices for data management
• Ability to define and implement effective data governance frameworks ensuring compliance and data integrity
• Excellent analytical and problem-solving skills
• Strong communication skills to collaborate effectively with clients and stakeholders

This role offers the opportunity to work remotely, leveraging self-motivation and accountability to drive results. The ideal candidate will possess a strong ability to adapt to changing circumstances and prioritize tasks effectively.

Join us at Enquo, where we're dedicated to harnessing the transformative power of data and technology. As leaders in technology and data solutions, we prioritize humanity in everything we do. Our mission is clear: to empower organizations to unlock the full potential of their data through cutting-edge technology and exceptional services.

We envision a brighter future, where technology ignites extraordinary achievements and drives profound transformation. Here at Enquo, challenges are opportunities, and our passionate team thrives on making meaningful impacts on society. With humility and a collaborative spirit, we leverage teamwork and creative thinking to deliver optimal and trustworthy solutions.

Asa purpose-driven company, were passionate about using data and technology as catalysts for positive change. Our vision extends to a world where everyone can harness the power of data to reach their fullest potential. At Enquo, honesty, trust, and empathy form the foundation of our simple business language. Were agile, adaptable, and committed to bridging any business need with innovative data solutions.

Join our journey, where curiosity and entrepreneurship drive us to explore uncharted territories and create solutions that truly matter. We foster a collaborative and inclusive environment, valuing every team member's contributions. If you're a talented, curious, and creative individual who thrives in a fast-paced, dynamic setting, we invite you to be part of our mission. Together, let's create new opportunities through data and technology, shaping a more humane future for all.

Enquo: fueling a better future through innovation, data, and technology.

The Master Data Management Lead will be responsible for defining, designing, and building dimensional databases to meet business needs. Assisting in the application and implementation procedures of data standards and guidelines coding structures and data replication to ensure access to and integrity of data sets.

• Excellent experience in Master Data Management including include Meta-Data Management, Data Migration, Data Security and Data Transformation/Conversion
• Experience in ETL processes and advanced SQL skills.
• Intermediate Requirements Gathering/Elicitation, Documentation, and Source to Target mapping skills.
• Working knowledge of Conceptual, Logical and Physical Data Modeling concepts as well as Database design concepts
• Practical experience working in an Agile Methodology

• Bachelor's or master's degree in computer science, Information Technology, or a related field.
• Proven experience in data quality management, with at least 8 years of experience in a leadership role.
• Strong understanding of data quality frameworks, tools, and methodologies.
• Proficiency in SQL and experience working with data profiling tools.
• Excellent analytical and problem-solving skills.
• Leadership and team management abilities.
• Effective communication and collaboration skills.
• Familiarity with data governance principles is a plus.

Join to apply for the Senior Specialist Data Management role at Dicetek LLC

The role will be responsible for managing the Strategic, Governance and Technical aspects of Data management within the Bank. Role involves setting up the framework for Data office covering Data Management, Data Retention and Archiving, Data Quality Management, Data Architecture, Metadata Management, Master Business Intelligence, Data Governance and Data integration to ensure Data Integrity, compliance with regulatory requirements and fulfill internal, external, business and IT requirements.

This role is responsible for defining, managing and controlling master data and metadata management policies, controls and standards; review and update Data architecture principles. Data Management Specialist will work closely with the Head of Technology Portfolio Management & Transformation and other stakeholders to support the wider Technology strategy and respective data needs (e.g., Data science and Data monetization) of Business functions. The job holder will assist to implement a collaborative Data management program involving Data owners, IT and Business staff.

• Bachelor / Master's degree (Desirable) in Computer science, Data Science, Finance & Banking MIS or Information Management, Operations management.
• Proven track record of Data Management in Banking or Financial firms and hands-on experience of directly managing data and driving change within a large and complex business set–up.
• Vast experience in building and leading data science organization, setting up framework for Data management and Data Office as well as successful experience in advocating Data value across business and to diverse audiences.
• Professional certifications in data management, data governance is highly desirable e.g., Certified Data Management Professional (CDMP), Certified Data Governance Professional (DGSP)
• Extensive experience in data management, data governance, data architecture, and data integration.
• Strong experience with data governance frameworks (e.g., DAMA Mastering Data Management Fundamentals - CDMP -DMBOK- Data Management Body of Knowledge), DCAM and the ability to establish data governance policies and procedures.
• Good knowledge of the information requirements and standard reporting within Financial Services industry
• Strong experience in all elements of the Data Management Body of Knowledge areas i.e. Goals and Principles, Organization and Culture, Activities, Deliverables, Practices and Techniques, Technology,

• Mastery in data modelling techniques, including conceptual, logical and physical data models
• Proficiency in data quality frameworks (e.g., Six Sigma, Total Data Quality Management (TDQM)) and the ability to develop and enforce data quality standards and procedures.
• Strong experience in data integration, ETL processes, and data management platforms and tools (Snowflake etc.).
• Strong knowledge of cloud computing technologies and implementing cloud-based solutions and services for data management.
• Knowledge of Data Ware Housing, Data Lake (Cloudera), Data Lake House, and Data Mesh architecture and techniques
• Strong knowledge of data lake architectures and experience in managing and integrating data lakes using platforms like Azure and AWS.
• Knowledge of API management and integration, facilitating data exchange between internal systems and external data sources.
• Knowledge of Data visualization and reporting tools (e.g., Power BI).
• Understanding of Machine learning and AI frameworks and platforms.

• Working in Data Management, Technology and Digital for Banking or Financial firms.
• Experience in Enterprise Data Management i.e. Data Architecture, Data Retention and Archiving, Data Quality Management, Metadata Management, Master Data Management, Business Intelligence and Data Governance
• Ability to build and maintain strong cross-functional partnerships at all levels of the organization.
• Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
• Strong organization skills including an ability to perform under pressure and manage multiple priorities with competing demands.

• Not Applicable

• Contract

• Information Technology

• IT Services and IT Consulting

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Are you a data management expert looking to leverage your technical skills in a dynamic environment?

We are seeking a seasoned Senior Associate Model Implementation professional to join our team and contribute to the development and implementation of risk models and scorecards.

This role is perfect for individuals with strong analytical skills, experience in credit risk modelling, and proficiency in statistical software such as SAS, R, or Python.

Responsibilities will include:

• Developing, validating, and monitoring risk models using advanced quantitative techniques
• Analyzing large and complex data sets to identify trends and patterns
• Collaborating with cross-functional teams to ensure data integrity and accuracy
• Communicating findings and insights effectively to stakeholders

The ideal candidate will have a minimum of 3 years of experience in handling data management projects, data science, machine learning model development within the banking and finance sector. A bachelor's degree in computer science, engineering, information systems, or a related field is required. A master's degree is preferred.

Additionally, we are looking for someone with expertise in credit risk modelling, risk analytics, and data science machine learning and artificial intelligence techniques. The ability to work independently on multiple tasks and/or projects is essential.

As a member of our team, you will be working in a fast-paced environment where no two days are the same. You will have the opportunity to collaborate with experienced professionals, develop new skills, and take on challenging projects that will help shape the future of our organization.

We offer a competitive compensation package, opportunities for career growth and professional development, and a collaborative work environment.

This is a unique opportunity to join a dynamic team and contribute to the success of our organization. If you are a motivated individual with a passion for data analysis and risk management, we encourage you to apply for this exciting role.

Role: Manager - Risk Data Management

Location: Abu Dhabi

Role Purpose:

The role requires very strong technical and communication skills.

Main responsibilities include:

• Manage risk data including data capturing organizing storing and analyzing for development validation and implementation of Credit Risk Models and Scorecards.
• Provide advanced quantitative analytics support to the overall Risk Management function.
• Formulating management techniques for quality data collection to ensure adequacy accuracy and legitimacy of data.
• Ensure implementation of risk rating models and scorecards in compliance with IFRS 9 and Basel requirements.
• Engaging in Risk Architecture projects including implementation of various risk IT applications data analytics data flows standards and processes.
• Develop and implement AI analytics to analyze risk data use machine learning techniques to identify patterns trends and potential risks including exploration data analysis and data quality trend assessment
• Ensure all data management and AI analytics practices comply with relevant regulations and organizational policies
• Project management with ability to execute plans and meet project objectives as well as the ability to respond and resolve diverse needs of team. Must be detail-oriented and able to multitask.
• Strong knowledge of Information Technology systems Risk Management systems tools applications and relational database management system software development and ability to code.
• Role requires independent thinking strong communication initiative interaction with all stakeholders within the bank.

Key accountabilities / responsibilities:

• Manage and maintain data for risk models implementation and scorecards development.
• Devising and implementing efficient and secure procedures for data management and analysis with attention to all technical aspects.
• Liaise and engage with external vendors and IT team for project implementation.
• Good quantitative analysis and finance skills experience of working with Statistical Software (SAS/Python/R).
• Knowledge of Data Analytics and reporting tools and software used (Power BI SAP BusinessObjects SQL Server).
• Perform data analytics for modelling teams in development recalibration and validation of Risk and statistical models by carrying out data preparation segmentation analysis and testing tasks. Assist with data extraction when needed.
• Apply techniques such as generative AI classification regression clustering and other related methods.
• Troubleshoot data-related problems and authorize maintenance or modifications.
• Ensure data quality review and standard checks to assess the data completeness accuracy timeliness uniqueness and traceability.
• Provide analytics and quantitative support as and when necessitated.
• Implement data tracking and monitoring tools analyze and validate data ensuring data security.
• Manage reporting for senior management or regulator.
• Team player and leader with the ability to work very effectively in a collaborative and team-oriented manner with other team members.
• A positive work attitude and confident eager and willing to take on new challenges. Must be cooperative with good interpersonal leadership negotiation and conflict resolution skills. Self-motivated detail-oriented should exhibit problem solving skills as well as ability to deliver under pressure.
• Willing to take on additional responsibilities and tasks as the needs arise.
• To perform any other responsibility assigned by Head Enterprise Risk Management Group from time to time.

Education and experience:

• Minimum 5 years of total experience in handling data management projects data science machine learning model development within banking and finance sector preferably in Credit Risk domain i.e. Basel II and IFRS 9 Risk models development and implementation risk analytics reporting
• Bachelors degree in computer science Engineering Information Systems or a related field.
• Masters degree is preferred

Specialist skills / technical knowledge required for this role:

• Excellent Credit Risk modelling analytical and research skills.
• Experience working with large and complex data sets including alternative data (bureau open banking etc.) for credit models.
• Good knowledge of financial markets and products and aware of the latest analytical techniques including ML algorithms such as SVM Random Forest and Gradient Boosting etc.
• Possess good knowledge of credit risk management best practices including but not limited to pertinent Basel II Basel III and IFRS 9 Framework on expected credit risk loss credit risk management and capital adequacy requirements.
• Possess strong quantitative skills and experience in developing validating and monitoring risk models. Knowledge of the credit scoring systems available in the market and their use.
• Advanced users of statistical tools and programming languages (such as SAS R Python and SQL)
• Should have a strong knowledge of handling Risk Technologies & its implementation.
• Apply techniques such as generative AI classification regression clustering and other related methods.
• Ability to work independently on multiple tasks and/or projects.
• Excellent oral and written communication skills in English.
• Proficiency in risk concepts banking products/ operations/ systems pertinent regulatory requirements
• Flexible team player and able to work and deliver under pressure.

Required Experience:

Manager

Lead Data Management Consultant role at Dicetek LLC.

• Minimum Experience: 5 years' relevant experience in the banking sector with at least 2 years in similar positions of progressively increasing managerial responsibilities in the Data Governance and Quality function.

• Excellent knowledge of Data Governance and Data Quality programs, frameworks, policies, and procedures.
• Experience working on strategic programs and by synthesizing business requirements and priorities with existing organisational capabilities.
• Track record of successfully delivering business value attributed to improved data management practices.
• Good knowledge of SQL or other data manipulation techniques.
• Should have excellent presentation skills.

• Not Applicable

• Contract

• Information Technology

• IT Services and IT Consulting

The ideal candidate will have a proven track record of managing data and driving change within complex business environments. This role is responsible for defining, managing and controlling master data and metadata management policies, controls and standards; review and update Data architecture principles.

• Mastery in data modelling techniques, including conceptual, logical and physical data models
• Proficiency in data quality frameworks (e.g., Six Sigma, Total Data Quality Management (TDQM)) and the ability to develop and enforce data quality standards and procedures.
• Strong experience in data integration, ETL processes, and data management platforms and tools (Snowflake etc.).
• Strong knowledge of cloud computing technologies and implementing cloud-based solutions and services for data management.
• Knowledge of Data Ware Housing, Data Lake (Cloudera), Data Lake House, and Data Mesh architecture and techniques
• Strong knowledge of data lake architectures and experience in managing and integrating data lakes using platforms like Azure and AWS.
• Knowledge of API management and integration, facilitating data exchange between internal systems and external data sources.
• Knowledge of Data visualization and reporting tools (e.g., Power BI).

• Bachelor / Master's degree (Desirable) in Computer science, Data Science, Finance & Banking MIS or Information Management, Operations management.
• Proven track record of Data Management in Banking or Financial firms and hands-on experience of directly managing data and driving change within a large and complex business set–up.
• Vast experience in building and leading data science organization, setting up framework for Data management and Data Office as well as successful experience in advocating Data value across business and to diverse audiences.
• Professional certifications in data management, data governance is highly desirable e.g., Certified Data Management Professional (CDMP), Certified Data Governance Professional (DGSP)
• Extensive experience in data management, data governance, data architecture, and data integration.
• Good knowledge of the information requirements and standard reporting within Financial Services industry

• Working in Data Management, Technology and Digital for Banking or Financial firms.
• Ability to build and maintain strong cross-functional partnerships at all levels of the organization.
• Demonstrated ability to communicate complex technical information in a condensed manner to various stakeholders verbally and in writing.
• Strong organization skills including an ability to perform under pressure and manage multiple priorities with competing demands.

We are seeking a detail-oriented and skilled Data Scientist to drive informed decision-making and innovation across the organization.

• Create actionable insights and predictive models that inform strategic business outcomes.
• Develop robust, explainable data science models that meet business objectives.
• Maintain data quality and integrity throughout the data lifecycle.
• Collaborate with cross-functional teams to embed models into production environments.
• Evaluate data usage for governance, privacy, and regulatory compliance.

Key Requirements:

• 4+ years of experience in data science or a related field.
• University degree or relevant technology certifications.
• Experience following Agile methodologies (certification desirable).
• Excellent communication skills and high proficiency in programming languages such as SQL and Python.

We operate globally, serving customers across multiple continents. Our goal is to deliver exceptional service while driving growth and innovation.

• Machine Learning
• Data Visualization using Matplotlib, Seaborn, Plotly, or BI tools like Tableau
• Cloud platforms such as MS Azure and Databricks

We are seeking a talented Business Insights and Data Analysis Specialist to join our team. In this role, you will be responsible for analyzing data from multiple sources to provide actionable insights and trends.

Key Responsibilities:

• Extract valuable business insights from large datasets
• Develop and implement mathematical models to solve complex problems
• Evaluate existing data sources and recommend strategies for improvement
• Design and develop reports, dashboards, and visualizations to communicate data insights effectively
• Collaborate with stakeholders to develop data-driven plans and strategies

Required Skills and Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or related field
• Excellent analytical skills with the ability to interpret complex datasets
• Proficiency in SQL programming language and database management systems (e.g., Oracle)
• Familiarity with statistical analysis software (e.g., SPSS) and reporting tools (e.g., Tableau)

Compensation and Benefits:

• A competitive salary package
• Opportunities for professional growth and development