Digital

Technical Delivery Manager (Identity Access Management) - Contract Rate: £575 per day Duration: 6 months IR35: Inside Location: Remote The role: A leading Government Institution are seeking a Technical Delivery Manager, to work on the implementation of a complex technical change for the transition of in-house identity access management systems to a SaaS-based solution. The role would ideally suit a candidate who has a technical background - specifically around Active Directories, Data Migration and Identity Access Management Software. Experience Requirements:A strong Technical Delivery / Project Manager Experience of managing multiple implementations of softwareCan manage activities leading up to implementation.Can run go/no go meetings.Experience of service readinessCan manage incidents post implementation.Understanding of AD / AAD / AD Connect.Identity Access Management systemsIf you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Our client is an exciting F&B company in the region and they have ambitious plan in growing the business to achieve their global expansion initiatives.The role:Driving digital marketing strategies and implement best practices to achieve the business objectives.Optimising digital marketing campaign within the region.Grow the social media platform across every region.Look after the digital advertising campaign which include Google, Facebook, Twitter, Ads and other advertising platforms.Managed the P&L and allocate the budget to achieve the maximise ROI.Analyse data and metrics to monitor the performance of online marketing campaigns. About you:Bachelor's degree or aboveHave at least 10 years of experience in digital marketing and 3 years in the leadership position.Having a F&B background would be an advantage.Able to adapt to be agile and adapt to changes quicklyStrong communications and able to work well with multi-cultural environment.

Our client is hiring a Data Scientist to join the Analytics department within the Digital Marketing team. Your role will be to build predictive models to help grow the business into new markets. The role:Data Pipeline Development: Design, develop, and maintain data pipelines to efficiently collect and ingest data from various sources, including websites, CRM systems, advertising platforms, and third-party APIs.Data Integration: Integrate and transform data from multiple sources into a unified, structured format suitable for analysis, reporting, and modelling.Database Management: Manage and optimize databases, ensuring data integrity, performance, and security. Implement data warehousing solutions for storage and retrieval.ETL Processes: Develop and maintain ETL (Extract, Transform, and Load) processes to clean, enrich, and prepare data for analysis, reporting, and visualization.Automation: Implement automation solutions to streamline data collection, processing, and reporting workflows, reducing manual efforts.Data Quality Assurance: Monitor data quality, identify discrepancies or anomalies, and implement data validation and cleansing processes.Data Governance: Establish data governance policies, standards, and best practices to ensure data consistency, compliance, and security.Work with the team to develop and implement machine learning models for predictive and prescriptive analytics.Evaluate and fine-tune models for optimal performance.Documentation: Maintain clear and comprehensive documentation for data pipelines, processes, and infrastructure configurations.Performance Optimization: Continuously optimize data pipelines and databases for scalability and efficiency, anticipating future growth and data volumeYour experience:4 - 6 years experience in similar roles.Proven experience in data engineering, ETL processes, and database management, particularly with tools such as Apache Spark, Hadoop, SQL, or NoSQL databases.Proficiency in programming languages such as Python, Java, or Scala.Strong knowledge of data warehousing concepts and architecture.Experience working with cloud-based data storage and processing platforms (e.g., AWS, Google Cloud, Azure).Proven track record of solving complex problems using data-driven approaches.Bachelor's degree in Computer Science, Data Engineering, or a related field. Master's degree is a plus.

Our client is a leading family group in Dubai, they are currently looking to hire a Data Insights expert to lead the team, and report in to the VP of Digital Marketing. The role:Convert Digital Behavioral and Performance data into insights that enable marketing strategies/solutions for improved ROI from digital marketing programs.Conduct detailed drill down analysis of key digital metrics, sifting through data, interpreting numbers, and deriving insights through the use of various analytical tools like Google Analytics, Adobe, Heap Analytics, Various Social Media Analytics Tools etc.Collaborate with Digital and Marketing Strategists on methods of data modelling, application of statistical concepts, interpretation of trends and patterns in data, and development of deep data insights.Handle everyday operations in terms of reporting, analytics & business intelligence tools and devise new approaches of using analytics for marketing.Be responsible for data collection, structuring, & quality. Explore and employ sophisticated statistical techniques and analytical models and tools relevant to the clients context and business needs.The person:At least 10 years experince within Analytics or InsightsComes from technical background, famililar with SQL, R or PythonIdeally from an eCom backgroundWorked within Marketing teams to bring insightful analysis

We are working with an exciting crypto start up in Dubai. Their mission is to accelerate Bitcoin's transition into web3, and its long term vision is to be the global marketplace for inscriptions across all blockchains. What You'll DoDistill requirements, develop concepts and translate them into user flows, mock-ups and prototypes with cutting-edge interactions.Develop intuitive, user-centered and user friendly interfaces from product requirementsExcellent visual design skills with sensitivity to user-system interaction.Maintain & contribute to the Design Systems for reusable design and UI component creation to achieve design scalability and consistency across multiple productsCollaborate effectively with Design Team, Product Managers and Engineers through the full product lifecycle from concept to shippingArticulate design intent to product teams and other stakeholdersCraft valuable and high-quality work without sacrificing speedCollaborate within design team to raise the quality bar and continuously improve design processes, principles, and tooling What You'll NeedAt least 4+ years of experience in Product Design (including web applications/digital products)Experience in a technology-focused startup and agency is a plus.Experience in Cryptocurrency or knowledge in Cryptocurrency is a plus.Proven product design experience including research, prototyping, and implementation of user-facing applications.Strong design thinking and human-centric problem-solving.Proactively identify emerging design trends, and design with awareness of the latest Web/Mobile UI/UX trendsAble to function independently and in a team environment, with excellent collaboration skills.Be able to present and articulate ideas.Trained in User Experience Design, Interaction Design, User-Centered Design or similar disciplinesProactive attitude, ensuring product quality and progressAn excellent online portfolio of work demonstrating design thinking, design process, and solutions for web and mobile applications.Master at Figma & other leading design tools.

Our client is hiring a Data Scientist to join the Analytics department within the Digital Marketing team. Your role will be to build predictive models to help grow the business into new markets. The role: Data Pipeline Development: Design, develop, and maintain data pipelines to efficiently collect and ingest data from various sources, including websites, CRM systems, advertising platforms, and third-party APIs. Data Integration: Integrate and transform data from multiple sources into a unified, structured format suitable for analysis, reporting, and modelling. Database Management: Manage and optimize databases, ensuring data integrity, performance, and security. Implement data warehousing solutions for storage and retrieval. ETL Processes: Develop and maintain ETL (Extract, Transform, and Load) processes to clean, enrich, and prepare data for analysis, reporting, and visualization. Automation: Implement automation solutions to streamline data collection, processing, and reporting workflows, reducing manual efforts. Data Quality Assurance: Monitor data quality, identify discrepancies or anomalies, and implement data validation and cleansing processes. Data Governance: Establish data governance policies, standards, and best practices to ensure data consistency, compliance, and security. Work with the team to develop and implement machine learning models for predictive and prescriptive analytics. Evaluate and fine-tune models for optimal performance. Documentation: Maintain clear and comprehensive documentation for data pipelines, processes, and infrastructure configurations. Performance Optimization: Continuously optimize data pipelines and databases for scalability and efficiency, anticipating future growth and data volume Your experience: 4 - 6 years experience in similar roles. Proven experience in data engineering, ETL processes, and database management, particularly with tools such as Apache Spark, Hadoop, SQL, or NoSQL databases. Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of data warehousing concepts and architecture. Experience working with cloud-based data storage and processing platforms (e.g., AWS, Google Cloud, Azure). Proven track record of solving complex problems using data-driven approaches. Bachelor's degree in Computer Science, Data Engineering, or a related field. Master's degree is a plus.

Technical Delivery Manager (Identity Access Management) - Contract Rate: £575 per day Duration: 6 months IR35: Inside Location: Remote The role: A leading Government Institution are seeking a Technical Delivery Manager, to work on the implementation of a complex technical change for the transition of in-house identity access management systems to a SaaS-based solution. The role would ideally suit a candidate who has a technical background - specifically around Active Directories, Data Migration and Identity Access Management Software. Experience Requirements:A strong Technical Delivery / Project Manager Experience of managing multiple implementations of softwareCan manage activities leading up to implementation.Can run go/no go meetings.Experience of service readinessCan manage incidents post implementation.Understanding of AD / AAD / AD Connect.Identity Access Management systemsIf you are available and interested, please apply in the first instance and you will be contacted to discuss the position further.

Our client is an exciting F&B company in the region and they have ambitious plan in growing the business to achieve their global expansion initiatives.The role:Driving digital marketing strategies and implement best practices to achieve the business objectives.Optimising digital marketing campaign within the region.Grow the social media platform across every region.Look after the digital advertising campaign which include Google, Facebook, Twitter, Ads and other advertising platforms.Managed the P&L and allocate the budget to achieve the maximise ROI.Analyse data and metrics to monitor the performance of online marketing campaigns. About you:Bachelor's degree or aboveHave at least 10 years of experience in digital marketing and 3 years in the leadership position.Having a F&B background would be an advantage.Able to adapt to be agile and adapt to changes quicklyStrong communications and able to work well with multi-cultural environment.

Our client is hiring a Data Scientist to join the Analytics department within the Digital Marketing team. Your role will be to build predictive models to help grow the business into new markets. The role:Data Pipeline Development: Design, develop, and maintain data pipelines to efficiently collect and ingest data from various sources, including websites, CRM systems, advertising platforms, and third-party APIs.Data Integration: Integrate and transform data from multiple sources into a unified, structured format suitable for analysis, reporting, and modelling.Database Management: Manage and optimize databases, ensuring data integrity, performance, and security. Implement data warehousing solutions for storage and retrieval.ETL Processes: Develop and maintain ETL (Extract, Transform, and Load) processes to clean, enrich, and prepare data for analysis, reporting, and visualization.Automation: Implement automation solutions to streamline data collection, processing, and reporting workflows, reducing manual efforts.Data Quality Assurance: Monitor data quality, identify discrepancies or anomalies, and implement data validation and cleansing processes.Data Governance: Establish data governance policies, standards, and best practices to ensure data consistency, compliance, and security.Work with the team to develop and implement machine learning models for predictive and prescriptive analytics.Evaluate and fine-tune models for optimal performance.Documentation: Maintain clear and comprehensive documentation for data pipelines, processes, and infrastructure configurations.Performance Optimization: Continuously optimize data pipelines and databases for scalability and efficiency, anticipating future growth and data volumeYour experience:4 - 6 years experience in similar roles.Proven experience in data engineering, ETL processes, and database management, particularly with tools such as Apache Spark, Hadoop, SQL, or NoSQL databases.Proficiency in programming languages such as Python, Java, or Scala.Strong knowledge of data warehousing concepts and architecture.Experience working with cloud-based data storage and processing platforms (e.g., AWS, Google Cloud, Azure).Proven track record of solving complex problems using data-driven approaches.Bachelor's degree in Computer Science, Data Engineering, or a related field. Master's degree is a plus.

Our client is a leading family group in Dubai, they are currently looking to hire a Data Insights expert to lead the team, and report in to the VP of Digital Marketing. The role:Convert Digital Behavioral and Performance data into insights that enable marketing strategies/solutions for improved ROI from digital marketing programs.Conduct detailed drill down analysis of key digital metrics, sifting through data, interpreting numbers, and deriving insights through the use of various analytical tools like Google Analytics, Adobe, Heap Analytics, Various Social Media Analytics Tools etc.Collaborate with Digital and Marketing Strategists on methods of data modelling, application of statistical concepts, interpretation of trends and patterns in data, and development of deep data insights.Handle everyday operations in terms of reporting, analytics & business intelligence tools and devise new approaches of using analytics for marketing.Be responsible for data collection, structuring, & quality. Explore and employ sophisticated statistical techniques and analytical models and tools relevant to the clients context and business needs.The person:At least 10 years experince within Analytics or InsightsComes from technical background, famililar with SQL, R or PythonIdeally from an eCom backgroundWorked within Marketing teams to bring insightful analysis

We are working with an exciting crypto start up in Dubai. Their mission is to accelerate Bitcoin's transition into web3, and its long term vision is to be the global marketplace for inscriptions across all blockchains. What You'll DoDistill requirements, develop concepts and translate them into user flows, mock-ups and prototypes with cutting-edge interactions.Develop intuitive, user-centered and user friendly interfaces from product requirementsExcellent visual design skills with sensitivity to user-system interaction.Maintain & contribute to the Design Systems for reusable design and UI component creation to achieve design scalability and consistency across multiple productsCollaborate effectively with Design Team, Product Managers and Engineers through the full product lifecycle from concept to shippingArticulate design intent to product teams and other stakeholdersCraft valuable and high-quality work without sacrificing speedCollaborate within design team to raise the quality bar and continuously improve design processes, principles, and tooling What You'll NeedAt least 4+ years of experience in Product Design (including web applications/digital products)Experience in a technology-focused startup and agency is a plus.Experience in Cryptocurrency or knowledge in Cryptocurrency is a plus.Proven product design experience including research, prototyping, and implementation of user-facing applications.Strong design thinking and human-centric problem-solving.Proactively identify emerging design trends, and design with awareness of the latest Web/Mobile UI/UX trendsAble to function independently and in a team environment, with excellent collaboration skills.Be able to present and articulate ideas.Trained in User Experience Design, Interaction Design, User-Centered Design or similar disciplinesProactive attitude, ensuring product quality and progressAn excellent online portfolio of work demonstrating design thinking, design process, and solutions for web and mobile applications.Master at Figma & other leading design tools.

Our client is hiring a Data Scientist to join the Analytics department within the Digital Marketing team. Your role will be to build predictive models to help grow the business into new markets. The role: Data Pipeline Development: Design, develop, and maintain data pipelines to efficiently collect and ingest data from various sources, including websites, CRM systems, advertising platforms, and third-party APIs. Data Integration: Integrate and transform data from multiple sources into a unified, structured format suitable for analysis, reporting, and modelling. Database Management: Manage and optimize databases, ensuring data integrity, performance, and security. Implement data warehousing solutions for storage and retrieval. ETL Processes: Develop and maintain ETL (Extract, Transform, and Load) processes to clean, enrich, and prepare data for analysis, reporting, and visualization. Automation: Implement automation solutions to streamline data collection, processing, and reporting workflows, reducing manual efforts. Data Quality Assurance: Monitor data quality, identify discrepancies or anomalies, and implement data validation and cleansing processes. Data Governance: Establish data governance policies, standards, and best practices to ensure data consistency, compliance, and security. Work with the team to develop and implement machine learning models for predictive and prescriptive analytics. Evaluate and fine-tune models for optimal performance. Documentation: Maintain clear and comprehensive documentation for data pipelines, processes, and infrastructure configurations. Performance Optimization: Continuously optimize data pipelines and databases for scalability and efficiency, anticipating future growth and data volume Your experience: 4 - 6 years experience in similar roles. Proven experience in data engineering, ETL processes, and database management, particularly with tools such as Apache Spark, Hadoop, SQL, or NoSQL databases. Proficiency in programming languages such as Python, Java, or Scala. Strong knowledge of data warehousing concepts and architecture. Experience working with cloud-based data storage and processing platforms (e.g., AWS, Google Cloud, Azure). Proven track record of solving complex problems using data-driven approaches. Bachelor's degree in Computer Science, Data Engineering, or a related field. Master's degree is a plus.