699 Data jobs in Abu Dhabi

This role involves managing, enhancing and aligning database management practices with international standards.

• Understand plans, drawings, technical specifications and in-depth database parameters.
• Align databases with organizational objectives and ensure their designs meet member countries' needs.
• Apply advanced statistical analysis methods to interpret complex data sets and translate raw data into actionable insights and recommendations.
• Interpret raw data and transform it into actionable insights, feedback and applications that support decision-making and inform the organization's publications and activities.

• Minimum of 7 years of experience in database management, particularly in statistical or financial sectors.
• Bachelor's degree in business administration, finance, economics, investment management or a related field.
• Master's degree in statistics, data science or a related field in database management or statistics.
• Excellent communication and writing skills in English. Additional language proficiency is beneficial.

This position requires strong analytical and problem-solving skills. The successful candidate will have excellent communication and writing skills, as well as the ability to work effectively with internal stakeholders.

We're seeking an exceptional Data Management Professional to join our team.

This is a fantastic opportunity for someone with a passion for data and a drive to deliver innovative solutions. As a Principal Consultant, you'll be responsible for helping our customers succeed with their enterprise Data Management solutions.

You'll work closely with our clients to understand their needs and develop tailored solutions that meet their goals. With your expertise in Data Management, you'll lead technical discussions, presentations, and meetings with customers and business partners.

In this role, you'll have the chance to make a real impact on our customers' businesses and contribute to the growth of our organization.

Key Responsibilities:

• Provide industry-leading Data Management consulting services to our customers.
• Support the services sales cycle as requested.
• Mentor other consultants in the effective use and deployment of Informatica products.
• Travel whenever necessary to work with customers and business partners.

Requirements:

• 10+ years of experience in the Data Management field.
• Strong consulting skills in Data Management.
• Prior experience in providing technical leadership and leading project teams during complex Data Management projects.
• Ability to execute multi-consultant consulting projects.
• Experience with Data Management related industry best practices, architectures, and solutions.

Benefits:

• Comprehensive health, vision, and wellness benefits.
• Generous vacation time-off policy and flexible working practices.
• Equity opportunities and an employee stock purchase program.
• Comprehensive Mental Health and Employee Assistance Program benefit.

About Us:

We're a leading provider of enterprise AI-powered cloud data management solutions. Our mission is to empower businesses to realize the transformative power of their most critical assets. We're passionate about building and delivering solutions that accelerate data innovations.

As a key member of our team, you will play a crucial role in unlocking the full potential of our data by defining, designing, and building dimensional databases to meet business needs.

Our organization is dedicated to harnessing the transformative power of data and technology. We are passionate about using data and technology as catalysts for positive change.

The primary objective of this position is to assist 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.

This role requires exceptional experience in Master Data Management including meta-data management, data migration, data security, and data transformation/conversion. Additionally, expertise in ETL processes and advanced SQL skills are necessary.

• Develop and design dimensional databases to meet business requirements
• Assist in the development and implementation of data standards and guidelines
• Experience in ETL processes and advanced SQL skills
• Excellent analytical and problem-solving skills

Familiarity with data governance principles is beneficial. If you are a detail-oriented and organized individual who excels in a fast-paced environment, we invite you to be part of our mission.

As a meticulous and organized professional, you'll play a key role in maintaining and updating our databases with accuracy and efficiency.

• Carry out data entry tasks with high precision and attention to detail.
• Input and verify data from various sources into our systems ensuring consistency and accuracy.
• Maintain confidentiality and adhere to data security protocols.
• Collaborate with team members for seamless data management processes.

• Proficient computer operations and data entry skills.
• Strong analytical and problem-solving abilities.
• Excellent time management and organizational skills.
• Ability to work independently and meet deadlines.
• Basic knowledge of spreadsheet software applications.

• High accuracy rate for data entry tasks.
• Timely completion of tasks and projects.
• Effective collaboration with team members.
• Adherence to data security policies and protocols.

Mullers Solutions is a leading provider of cutting-edge SAP consulting services aimed at helping organizations harness the power of their data. We specialize in innovative custom solutions designed to meet the unique needs of our clients ensuring they can achieve their business goals effectively and efficiently.

We are currently seeking an experienced SAP Business Data Cloud expert to join our team on a remote basis In this role you will be responsible for implementing and managing SAP Business Data Cloud solutions enabling clients to optimize their data management strategies You will collaborate with business stakeholders to define data governance frameworks data architecture and data quality standards ensuring the efficient use of data across the organization

Key Responsibilities:

• Implement and manage SAP Business Data Cloud solutions
• Collaborate with business stakeholders to define data governance frameworks
• Develop data architecture and data quality standards
• Optimize data management strategies

Requirements:

• Bachelor's degree in Computer Science Data Management Information Systems or a related field
• 3-5 years of experience working with SAP Business Data Cloud or similar data management platforms
• Proven experience in data governance data quality management and data modeling
• Strong knowledge of SAP Business Technology Platform and integration with other SAP solutions
• Experience with data transformation processes ETL tools and data visualization tools
• Excellent understanding of cloud-based data architecture and best practices for data management
• Ability to define and implement data governance frameworks to ensure compliance and data integrity
• Strong analytical and problem-solving skills to assess business requirements and develop suitable solutions
• Excellent communication skills to collaborate effectively with clients and stakeholders
• Experience working in a remote environment demonstrating self-motivation and accountability

Benefits:

• Competitive salary and benefits package
• Exciting projects and innovative work environment

We are an equal opportunities employer and welcome applications from all qualified candidates

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 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.

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

We are seeking a diligent and meticulous candidate to support our data management operations. This role is ideal for someone who is proactive, eager to grow, and comfortable working in an office environment.