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Hello from RE Partners!<br>Who We Are: We are a fast growing business and technology consultant company co-founded in 2019. We offer a custom-tailored, white-glove engineering service fit for our clients, because a digital transformation is more than just technology. With a successful track record of being a preferred vendor for Fortune 500 companies and as a trusted partner for some of the industry’s leading companies, our global talent has helped many clients achieve their goals. The 3 G’s of RE:“Get Shit Done.”“Get Over Shit.”“Give a Shit.”<br>Senior Data Engineer<br>This role exists to drive value for our customers and business functions through effective data engineering, modelling, and data transformations by leading the delivery of strategic data solutions whilst setting up resilient data architecture and engineering foundations and supporting junior members of the data engineering team.<br>Responsible for:Leading the design and orchestration of modularized, automated, event-driven data engineering pipelines and data modeling approaches. Building in quality by design into data engineering practices, enabling a scalable and flexible data architecture and feature rich dataset to support the wider Data function and the entire business. Implementing modern code development and data engineering orchestration strategies to target and streamline our data engineering processes. Embedding new data techniques into the business through coaching, training, and providing experiment design oversight to more junior data engineers. Working with third party partners and software providers to improve and/or implement new data solutions and processes. Being the gatekeeper for customer data, aware of our usage and alignment to data privacy standards, in collaboration with Data Governance to ensure best practice standards are applied/maintained.<br>Accountable for:Working closely with our Lead Data and ML Engineers to drive the adoption of Dev Ops and modern code development practices across the Data function. Collaborating with Quality and Software Engineering and System teams to drive cross-function visibility and reduction of technical debt across the teams. Ensuring that our data engineering processes and pipelines are resilient and future-proof. Developing a strong knowledge of all data sources and maintaining relationships with data users/processors across the company. Being a Senior Data Engineer, supporting more junior data engineering colleagues from a technical skills development perspective.<br>Essential skills and experience:Extensive expertise of RDBMS, Python, Hadoop, SQL and Pyspark. GCP experience, including Dataproc and Dataflow Hands on Java experience Hands on experience in modern code development practices (Infrastructure-as-Code) and data engineering in the Google Cloud Experience of ETL/ELT technical design, automated testing of engineering pipelines, quality assurance and documentation. Proven experience of data warehousing, data wrangling and data modelling approaches. Proven experience coaching junior members of data engineering teams and supporting their skills development. Proven experience working collaboratively with System, Quality Engineering and Software Engineering teams. Demonstrable experience of critical thinking, communication and problem-solving ability and stakeholder management Demonstrate delivery under pressure and to deadline. Experience working in an e-commerce/retail market would be beneficial.<br>Preferred skills and experience:Willingness to learn new tools and techniques; proactively keeping up to date with latest thinking and practices. Able to establish what does/doesn’t align to business/functional strategies/priorities and communicate dependencies clearly. Able to drive the adoption of best practice approaches to data engineering, coaching, and supporting the wider data engineering team. Embrace change with a positive outlook. Confident to challenge, and receptive to being challenged. The ability to thrive in a fast-paced environment.<br><br><br>Join Our Global Team: We invite you to apply for the position at RE Partners. Join us in shaping the future of business technology consulting and transforming the way organizations thrive in a digital world. As a diverse, woman-owned global business, we pride ourselves on keeping talent happy – our 7% attrition rate speaks volumes. Bring your talented friends along and earn a referral bonus<br>Equal Opportunity Employer: We are an equal opportunity employer and welcome applications from all qualified individuals regardless of race, color, religion, gender, sexual orientation, gender identity or expression, national origin, age, disability, or veteran status.

We are looking for an experienced Data Engineer to join our data team, with strong hands-on expertise in Snowflake and dbt. You'll be responsible for designing, building, and optimizing scalable data pipelines and transformation workflows that power analytics and business decision-making across the organization.<br>Key Responsibilities Design, build, and maintain robust ELT/ETL pipelines using Snowflake as the core data warehouse Develop, test, and maintain data transformation models using dbt (models, tests, snapshots, macros) Optimize Snowflake performance (warehouse sizing, query tuning, clustering, cost optimization) Implement data quality checks, testing frameworks, and documentation within dbt Collaborate with analytics, BI, and product teams to translate business requirements into reliable data models Manage data ingestion from various sources (APIs, databases, streaming platforms) into Snowflake Contribute to CI/CD practices for data pipeline deployments Ensure data governance, security, and compliance best practices are followed Troubleshoot and resolve data pipeline issues, ensuring high reliability and uptime<br><br>Required Qualifications5–6+ years of experience in data engineering roles Strong hands-on experience with Snowflake (data modeling, performance tuning, security/roles, cost management) Proven experience building and maintaining dbt projects (models, tests, macros, documentation) Solid SQL skills and experience with data modeling concepts (star schema, dimensional modeling, etc.) Experience with orchestration tools (e.g., Airflow, Dagster, or similar) Familiarity with version control (Git) and CI/CD pipelines Experience working with cloud platforms (AWS, Azure, or GCP) Strong understanding of data warehousing concepts and ELT/ETL best practices

Data Engineer - AI & Data Integration<br>Highbase | Bahrain | Full-Time (Remote)<br><br>About Highbase<br>Highbase is a B2B wholesale platform operating in Bahrain, connecting suppliers and buyers across the central market. We are investing in our data capabilities to power smarter commercial decisions across the platform.<br><br>About the Role<br>We are looking for a Data Engineer to join our data team. You will be responsible for building data pipelines that collect and normalize data from multiple sources, designing the database layer that centralizes it, and implementing AI-assisted workflows that automate data processing and enrichment at scale.<br>This is a hands-on role with direct impact on how Highbase understands its market and serves its customers.<br><br>What You Will Work On<br>• Building and maintaining data ingestion and transformation pipelines (e.g. Python-based)<br>• Designing and managing database schemas that serve as a single source of truth<br>• Integrating data from multiple internal and external sources into a unified structure<br>• Implementing AI agent workflows using LLM APIs for automated data processing tasks<br>• Delivering clean, queryable data structures that connect to business dashboards<br><br>What We Are Looking For<br>Required<br>• 3–5 years of experience in data engineering or a related field<br>• Strong programming skills in Python or similar; data processing, clean production-quality code<br>• Solid SQL experience with relational databases (e.g. MySQL, Postgre SQL); schema design, joins, views<br>• Experience integrating and normalizing data from multiple heterogeneous sources<br>• Familiarity with LLM APIs and agentic patterns; tool use, reasoning loops<br>• Experience working with external REST APIs<br>Nice to Have:<br>• Experience in e-commerce or marketplace platforms.<br>• NoSQL Knowledge.<br><br>Apply by sending your CV to: admin@highbaseco.com

SAP Master Data Specialist – Finance Department Job Title : SAP Master Data Specialist<br>Sector: Finance | Division: Corp Finance | Unit: SAP Support & Master Data<br>Job Purpose:To manage the creation, maintenance, governance, and quality of enterprise master data across all business domains, ensuring data accuracy, consistency, completeness, and integrity within SAP and integrated systems. The MDM Specialist supports operational excellence, regulatory compliance, audit readiness, and business continuity by enforcing data governance standards, maintaining robust controls, and enabling reliable reporting and informed decision-making.<br>Key Roles & Responsibilities Create, update, and maintain master data in SAP, including materials, vendors, customers, Bills of Materials (BoMs), GTINs, and Production Versions, while ensuring data is accurate and complete. Follow company procedures (SOPs) and data governance guidelines to maintain high-quality master data. Review and validate data to identify errors, inconsistencies, or missing information before processing. Work closely with different departments to complete master data requests on time. Prepare and maintain business documents, templates, reports, work instructions, and professional email communications. Support data quality and continuous improvement initiatives by identifying opportunities to improve data accuracy and business processes. Keep master data records up to date and ensure all required approvals and supporting documents are completed. Review Bills of Materials (BoMs) to ensure material quantities and costing-related information are correct before release, coordinating with the relevant teams whenever updates are needed. Create and maintain GTIN codes.<br>Qualifications:<br>Bachelor’s degree in pharmacy, Science, Commerce / Business, Computer Science, Engineering, or a related discipline. Fresh graduates or a 1-2 years’ experience in Master Data Management, Regulatory affairs, Supply Chain, ERP systems, Data Analysis, or a related business function. Very good command of English, both written and verbal. Excellent communication and interpersonal skills, with the ability to prepare professional business emails and collaborate effectively with cross-functional teams. Proficient in Microsoft Excel, including data validation, sorting, filtering, Pivot Tables, Lookup functions (VLOOKUP), and basic data analysis. Good knowledge of Basic excel power query and/or Power Bi is preferred. Good knowledge of Microsoft Word for preparing SOPs, work instructions, training materials, and business documentation. Strong analytical skills with excellent attention to detail and commitment to data accuracy and quality. Ability to work under pressure, manage multiple priorities, and meet agreed service levels and deadlines.<br>Experience: <br>0–2 years of experience in Master Data Management (MDM), SAP ERP, business process support, data analysis, or a related field. Experience in Pharmaceutical or FMCG industry is preferred.

Role Description:The data analyst will join the team to work to identify patterns of behavior and ensure methods ofdata ingestion process, component rules, scenarios, and models are working as expected. In addition to this you will analyze and report on data and metrics relating to operations and mitigations. This includes building reporting dashboards that are used at the highest levels of the business and by external regulators. Working with stakeholders in each agile squad to provide insights and present findings to optimize performance by articulating these findings to diverse audiences in a clear, effective manner.<br><br>Responsibilities:As you will expect the support a growing business needs is broad, but we hope that the following gives you an idea of the main focus of your attention Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analyst if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Data management and ownership: You'll be processing varied data sources including recoding/transforming data, merging and cleaning, weighting etc. to enable us to deliver exceptional data clarity to our clients. You will need to ‘own’ the data and know it inside and-out. Cross-function collaboration: As the primary ‘owner’ of the valuable data we collect, you’ll need to collaborate with multiple teams. Dive into large, complex datasets and turn your findings into strategies that drive decisions at every company level. Drive continuous improvement initiatives by proactively monitoring performance metrics and conducting in-depth analyses to identify areas for optimization. Champion a culture of data-driven decision-making, empowering teams to leverage insights from analytics to iterate rapidly and contribute to exceptional user experiences. Process improvements: Proactively identifying opportunities to improve efficiencies in these tasks and supporting the implementation of these improvements. Translate intricate data insights into practical business strategies and articulate these findings to diverse audiences in a clear, effective manner. Strategically assess stakeholder requests, priorities based on value, and innovate data driven solutions to enhance decision-making. Strong data, reasoning and analytical skills are essential.<br>. Skills & Experience:Will have at least minimum financial services based, data analytics experience. Preferably experience within the fraud and financial crime domain, or card payments. Key tools for Data Analytics understanding: SQL, Tableau, R, Python. You will be comfortable with data querying (relational databases and data lakes using SQL), data interchange (CSV, JSON etc), data analysis (such as Excel and BI tools, maybe even Access), data management and processing using at least simple Python scripts and notebooks (Pandas, Num Py etc). Will have experience working with multiple and large unstructured datasets. The adaptability and eagerness to learn new technologies on the job. You can simplify complex data insights for anyone to understand, whether they're tech-savvy or not. Start-up attitude – You’ll be comfortable in a rapidly changing environment, working with limited resources, and delivering high-quality work at the speed which is necessary for successful business growth. You’ll be a self-starter who doesn’t need much guidance, who can think fast on their feet and are ready to pivot when required. Familiarity with data tools like Mode, Athena is advantageous. Project and workstream management tools (e.g. JIRA and Confluence) is desirable. The more experience you have with data visualization the better (but it's not a requirement of the role like Tableau, Looker, Power BI and etc)

Role Description:Oversee security assurance for data across the bank, ensuring sensitive information is securely stored, processed, and shared in compliance with regulatory requirements and all internal policies.<br>Core Responsibilities:•Lead assurance reviews for databases, applications, and data flows, validating that sensitive data is appropriately protected at rest, in transit, and in use.•Oversee implementation and enforcement of data protection measures such as encryption, masking, and anonymization, and confirm their effectiveness through assurance activities.•Manage the operation and validation of data loss prevention (DLP) systems, ensuring policy effectiveness and incident follow-up.•Conduct risk assessments for data pipelines and repositories, documenting vulnerabilities and working with owners to apply mitigating controls.•Review and validate access control mechanisms for databases and sensitive repositories, ensuring that only authorized users retain access.•Oversee backup and recovery assurance testing, ensuring data confidentiality and integrity are preserved during recovery scenarios.•Coordinate with IT and business teams to ensure secure data retention and disposal practices are consistently applied.•Monitor data-related incidents, investigate potential breaches, and confirm root causes are addressed to prevent recurrence.•Prepare dashboards and assurance reports summarizing the bank’s data security posture for the Head of Assurance and governance purposes.•Lead third-party assurance reviews of data platforms, ensuring compliance with contractual and regulatory requirements.•Collaborate with digital transformation teams to ensure secure adoption of new data and AI-driven solutions.•Continuously benchmark the bank’s data protection controls against industry best practices and update standards as needed.<br>Requirements:▪Bachelor's degree in engineering, Information Technology or Computer Science.▪Experience; 8-10 years of experience in Information Security Field.▪Data security frameworks (GDPR, PCI DSS, CBE guidelines).▪Database assurance (SQL, Oracle, Mongo DB).▪Data loss prevention tools and practices.▪Secure data retention and disposal processes.

CNTXT AI is a leading artificial intelligence company focused on building next-generation AI systems, products, and infrastructure. We specialize in developing multimodal AI, robotics, and intelligent agents, powered by high-quality real-world data. Data is at the core of our innovation. We invest heavily in data collection, annotation, and AI training pipelines to enable advanced systems such as embodied AI and Vision-Language-Action (VLA) models.<br>Role Summary<br>CNTXT AI is looking for a Robotics Data Collector to support the collection of high-quality robotics and egocentric data used to train AI models. This role involves working hands-on with robotic systems, sensors, and real-world environments to capture multimodal datasets, including video, motion, and interaction data. You will play a key role in enabling the development of intelligent robotic systems and AI agents. The ideal candidate is detail-oriented, technically curious, and comfortable working in lab and controlled real-world environments.<br>Key Responsibilities<br>1. Data Collection Execution Collect robotics and egocentric (first-person) data using:Cameras (handheld, head-mounted, or robot-mounted) Sensors (IMU, depth cameras, etc.) Execute data collection tasks based on predefined scenarios and protocols. Ensure consistent and accurate recording of actions, interactions, and environments.<br>2. Robotics Operation Support Assist in operating robotic systems (humanoid or mobile robots) during data collection. Support setup and calibration of:Cameras and sensors Recording systems Ensure proper functioning of hardware during experiments.<br>3. Data Quality & Validation Review collected data for:Completeness Clarity Accuracy Identify and flag issues such as:Missing data Recording errors Sensor misalignment Follow quality guidelines to ensure high usability for AI training.<br>4. Experiment Setup & Execution Prepare environments for data collection sessions. Execute tasks such as:Object manipulation Navigation scenarios Human-robot interaction recordings Follow detailed instructions to simulate real-world use cases.<br>5. Documentation & Reporting Maintain records of:Data collection sessions Equipment usage Issues encountered Provide feedback to improve data collection processes and protocols.<br>6. Safety & Compliance Follow all lab safety protocols and operational guidelines. Handle robotics equipment and sensors with care. Ensure compliance with data privacy and security requirements.<br>Required Qualifications<br>0–3+ years of experience Data collection, field operations, or lab environments Technical or hardware-related roles Comfortable working with:Cameras, sensors, and recording devices Basic computer systems and tools Strong attention to detail and ability to follow instructions precisely.<br>Preferred Skills Experience with robotics systems or hardware environments. Familiarity with:Egocentric or first-person data collection Computer vision or AI-related datasets Basic understanding of:Robotics concepts Sensors and data recording tools Experience working in technical labs or research environments.<br>Key Traits Detail-oriented and quality-focused Hands-on and execution-driven Reliable and consistent in following protocols Comfortable working in dynamic environments Curious about robotics and AI<br>Success Metrics Volume and quality of data collected Accuracy and completeness of datasets Adherence to data collection protocols Reduction in data errors and rework Efficiency in executing data collection tasks<br>Why Join CNTXT AIWork on cutting-edge robotics and AI systems Contribute to building next-generation intelligent agents Gain hands-on experience with robotics labs and real-world data Be part of a fast-growing, innovation-driven company

At Transmed, we continue to transform our digital landscape to maximize value for our business, customers, and suppliers through the implementation, management, and support of strategic, business-fit technologies, digital capabilities, data, and business intelligence solutions. We are currently seeking a highly analytical and driven Business Intelligence Senior Specialist to join our growing team. In this role, you will play a key part in designing, developing, and implementing advanced business intelligence solutions that enable data-driven decision-making across the organization. You will collaborate closely with business stakeholders, IT teams, and regional functions to deliver impactful insights and scalable reporting solutions.<br><br>Key Responsibilities:Collaborate with stakeholders to understand business intelligence and reporting requirements and translate them into technical solutions and actionable deliverables. Design, develop, and maintain BI dashboards, reports, and visualizations using tools such as Power BI, Tableau, Qlik View, or similar platforms. Integrate and analyze data from multiple sources including SQL databases, Excel files, APIs, and third-party applications. Build and maintain ETL processes, data pipelines, and data workflows to ensure efficient and reliable data movement. Design and optimize data models, data warehouses, and data lakes to support scalable reporting and analytics. Write advanced SQL queries, scripts, and stored procedures to extract, transform, and load data efficiently. Ensure data integrity, accuracy, consistency, and governance across reporting and analytics environments. Monitor and troubleshoot BI reports, dashboards, data pipelines, and data sources to resolve issues proactively. Deliver clear and impactful insights to both technical and non-technical stakeholders through data storytelling and visualization. Process, clean, and validate large datasets for analysis and reporting purposes. Continuously stay updated on emerging BI, analytics, cloud, and data technologies and recommend best practices. Support organizational change management initiatives and ensure adherence to company policies and standards.<br><br>Qualifications & Requirements:Bachelor’s degree in Computer Science, Information Systems, Data Science, Business Administration, or a related field. Master’s degree in Computer Science or related discipline is a plus. Minimum 3+ years of progressive experience in Business Intelligence, Data Analytics, Reporting, or Data Engineering. Strong hands-on experience with BI and visualization tools such as Power BI, Tableau, or Qlik View. Advanced SQL knowledge and experience with database management systems such as SQL Server or Oracle. Good understanding of ETL processes, data modeling, and data warehousing concepts. Experience with Python and cloud platforms such as Azure or AWS is considered an advantage. Strong analytical, problem-solving, and communication skills. Ability to communicate complex data insights effectively to technical and non-technical audiences. Experience working in fast-paced and collaborative environments; FMCG industry experience is preferred.<br><br>What We’re Looking For A proactive and detail-oriented professional with a passion for data and business transformation. Strong stakeholder management and cross-functional collaboration skills. Ability to work independently while managing multiple priorities and deadlines. Commitment to continuous learning and professional growth.<br><br>If you are passionate about turning data into meaningful business insights and want to be part of a dynamic digital transformation journey, we would love to hear from you.

Job Title: Data Analyst (SAP/Odoo Specialist) Location: [Maadi] (Hybrid ) Employment Type: Full-Time Department: IT / Business Intelligence Key Responsibilities Data Extraction & Integration Extract, transform, and load (ETL) data from SAP (ECC/S/4HANA) and Odoo databases (Postgre SQL/MySQL). Build and maintain data pipelines to consolidate ERP data with external CRM and e-commerce platforms. Write complex SQL queries to pull transactional data (sales orders, purchase orders, inventory, and financial postings). Analysis & Reporting Develop interactive dashboards (Power BI, Tableau, or Odoo Studio) to track KPIs such as inventory turnover, order fulfillment rates, and gross margin. Perform root-cause analysis on data discrepancies between SAP and Odoo modules (e.g., Finance vs. Logistics). Provide actionable insights to improve business processes, reduce costs, and optimize supply chain efficiency. System Collaboration Partner with Functional Consultants to map business requirements into technical data models. Participate in Odoo migrations or SAP upgrade projects, ensuring data integrity during system transitions. Automate manual reporting processes using Python or Java Script (Odoo Automation). Data Governance Maintain data quality standards by cleansing master data (Customers, Vendors, Materials) across both systems. Document data dictionaries and transformation logic for audit and training purposes. Qualifications Education:Bachelor’s degree in Computer Science, Information Systems, Data Science, Finance, or a related field. Experience:2+ years of experience as a Data Analyst, Business Intelligence Analyst, or ERP Data Specialist. Must have hands-on experience with at least one of the following:SAP: Strong knowledge of tables (MARA, VBAK, LIKP, BSEG), debugging, and SAP Query. Odoo: Deep understanding of Odoo’s ORM, Postgre SQL database structure, and reporting engines. Technical Skills:SQL: Expert level (joins, subqueries, window functions). BI Tools: Proficiency in Power BI, Tableau, or Looker. Programming: Python (Pandas, Num Py) or R for advanced analytics. ERP Knowledge: Familiarity with Odoo’s Accounting, Sales, Purchase, and Inventory modules OR SAP FI/CO, MM, and SD modules. Data Warehousing: Experience with DWH concepts and ETL tools (e.g., Apache Airflow, Talend). Soft Skills:Strong business acumen; ability to translate data findings into plain English for operational managers. Excellent problem-solving skills and attention to detail. Ability to work independently in a hybrid setting while maintaining clear communication across time zones. Preferred (Nice to Have) Experience with Odoo Studio or SAP Fiori reporting. Knowledge of REST APIs for extracting data from third-party apps. Certified in Odoo Functional or SAP Activate methodology. Familiarity with cloud platforms (AWS, Azure, or GCP).

Key Responsibilities:Collect, clean, and analyze data from multiple sources. Develop and maintain reports and dashboards. Identify trends, patterns, and insights to support business decisions. Collaborate with cross-functional teams to understand data requirements. Ensure data accuracy, consistency, and integrity. Assist in building data models and automating reporting processes. Present insights in a clear, structured, and actionable format.<br> Requirements:6 months to 2 years of experience in Data Analysis or a related field. Strong analytical mindset with high attention to detail. Good understanding of data analysis concepts and techniques. Advanced proficiency in Microsoft Excel. Basic to intermediate knowledge of SQL. Experience with data visualization tools (Power BI or Tableau). Familiarity with databases and data processing concepts.

Who we are?- onebank was established in 2020 as the company responsible for launching the 1st digital native bank in Egypt. The digital bank aims to create innovative solutions tailored to serve the needs of the banking customers in Egypt.-Our main goal is to create a positive customer experience through the differentiated journey that our customers live while using the digital bank.-Our Drive: We use our drive and commitment to energies, engage and inspire others, upholding the highest standards of work ethic, honesty and morality.<br>Role Purpose:Design the logical and physical data blueprints across the DWH platform, ensuring data models scale fluidly from raw transactional data to semantic analytical layers.<br>Responsible For: Enterprise Data Architecture, Data Modeling Standards, Solution Architecture Alignment<br>Requirements (Qualification & Skills):<br>Years of Experience: 8+ years of dedicated experience in Data Architecture, Data Modeling, and Database Design. Education: B. Sc. in Computer Science, Information Systems, or a related field. Certifications in TOGAF or specific Data Modeling frameworks (for instance Kimball/Inmon) are a major plus. Advanced data modeling skills (Conceptual, Logical, Physical, Dimensional, Data Vault 2.0). Mastery of Teradata enterprise data models and Cloudera schema-on-read design is highly preferred. Deep understanding of retail banking data domains (Accounts, Transactions, Loans, Parties, Cards, KYC). Strong understanding of lambda/kappa architectures, data warehousing vs. lakehouse paradigms, and security/access control frameworks inside bare-metal networks. Exceptional abstract thinking, cross-functional collaboration, and the ability to dictate technical standards to software development and engineering teams. Extensive experience with relational database optimization (indexing, partitioning, distribution keys) preferably in Teradata, and mapping complex banking schemas. Preferred: Experience designing hybrid architectures that span on-premise relational systems and distributed file systems (HDFS/Object Storage).

A New Chapter: Dsquares X Prepit<br><br>We're excited to share that Prepit has officially joined the Dsquares family! This acquisition marks a new chapter where we combine Prepit's innovation and agility with Dsquares' expertise and scale to build even stronger, more impactful loyalty and engagement solutions.<br><br>About Prepit: <br><br>Prepit aims to bridge the gap between restaurants & their diners, building lasting relationships using technology enabled solutions. Through a loyalty engine and a gamified online ordering experience, Prepit enables restaurants to collect critical diner data, identify trends in customer behavior, and directly communicate with diners to generate recurring business.<br><br>Our People is our Brand<br><br>Developing seamless loyalty solutions is only possible with a great team. Our culture is open, collaborative, and empowering. If you're passionate, driven, and eager to make an impact—you'll fit right in.<br><br>About The Role:<br><br>As a Data Analyst at Prepit, you will be responsible for analyzing data, building and maintaining ETL processes, ensuring data quality, and delivering insights that drive product and business decisions. You'll collaborate closely with Product, Engineering, and Business teams to develop scalable reporting solutions and support a data-driven culture.<br><br>Key Responsibilities<br><br>Collect, clean, transform, and analyze data from multiple sources Design, develop, and maintain ETL/ELT pipelines to ensure reliable and timely data availability Write efficient SQL queries to extract, validate, and analyze data Build and maintain dashboards and reports using Metabase Partner with Product, Engineering, and Business teams to define KPIs and reporting requirements Monitor data quality and implement validation checks to ensure data accuracy Perform ad hoc analyses to identify trends, opportunities, and business insights Support data modeling and optimize datasets for reporting and analytics Document data sources, ETL processes, and reporting logic Continuously improve data workflows through automation and process optimization<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Data Science, Information Systems, Statistics, Engineering, or a related field2 years of experience as a Data Analyst or in a similar role Strong proficiency in SQLHands-on experience designing and maintaining ETL/ELT processes Experience working with relational databases (Postgre SQL, MySQL, or similar) Experience creating dashboards and reports using Metabase Good understanding of data modeling and data warehousing concepts Experience with Python (Pandas) for data analysis or automation is a plus Familiarity with cloud platforms and modern data architectures is an advantage Excellent analytical, problem-solving, and communication skills Ability to work independently in a fast-paced startup environment<br><br>Benefits<br><br>Comprehensive Wellbeing: Enjoy peace of mind with our private medical insurance and life cover. Work-Life Balance: Achieve optimal well-being with our hybrid work environment, generous maternity and paternity benefits, and regular team-building events Continuous Development: Expand your horizons through our commitment to learning and development opportunities.

<h2 class="h5">Job description</h2> <div class="t-break" data-jb-field="description"> <span>We are seeking a Data Protection &amp; DLP Design Expert to protect organizational data from leakage and ensure that backups and data protection mechanisms are securely designed and governed.<br> The role focuses on translating data classification requirements into practical, enforceable controls and reviewing existing data protection measures against industry best practices and NCA ECC standards.<br> Key Responsibilities: Translate data classification into practical controls — defining what data is sensitive and how it must be protected.<br> Design DLP (Data Loss Prevention) coverage across endpoints, email, web, and cloud, as applicable.<br> Ensure DLP integration with key tools, including Email Gateway, MDM, endpoint agents, and proxy/CASB solutions where used.<br> Review current DLP and backup/data protection setups against best practices and NCA ECC; recommend improvements.<br> Define secure baselines, including policy settings, exception handling, tuning, encryption alignment, and retention policies.<br> Define SOC/SIEM monitoring and response use-cases, such as suspected data exfiltration and policy violations.<br> Deliver evidence artifacts for audits, along with runbooks, SOPs, and training/knowledge transfer materials.<br> Arabic Speakers 6 years of relevant experience in data protection, DLP design, and governance.<br> Strong understanding of data classification frameworks and how to operationalize them into technical controls.<br> Experience reviewing and improving DLP and backup/data protection architectures against compliance standards, particularly NCA ECC.<br> Ability to define secure configuration baselines and exception-handling processes.<br> Experience collaborating with SOC/SIEM teams to define monitoring and incident response use-cases.<br> Strong documentation skills for audit evidence, runbooks, and SOPs.<br> Strong communication skills to deliver training and knowledge transfer to internal teams.<br></span> </div>

Nawy Proptech is seeking a highly motivated and talented Data Analyst to join our dynamic team. As a Data Analyst at Nawy, you will play a key role in leveraging data to drive strategic decisions and improve business performance. You will be responsible for analyzing, and interpreting different datasets to provide actionable insights that inform various departments across the organization. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex findings in a clear and concise manner.<br><br>Collaborate with cross-functional teams to understand business requirements and address data-related challenges Prioritize business requirements within and across projects based on business impact Understand business needs to gather, analyze, interpret, and communicate data that informs stakeholders at all levels to make data-informed decisions Reporting the results back to the relevant members of the business and presenting the story of the data in an easily accessible manner Providing ad-hoc analysis as required to aid management making judgements Develop and maintain dashboards, reports, and visualizations to track key performance metrics Perform advanced data analysis to extract insights, identify trends, and provide actionable recommendations to support business objectives<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work Proven experience as a Data Analyst or similar role, 1+ years of experience in a similar position Advanced SQL knowledge/experience - complex queries and query optimization Experienced with data visualization tools such as: Tableau, Looker or Power BIHands-on experience with programming languages Strong understanding of statistical concepts Familiarity with data warehouse development and data modeling Highly detailed oriented, must display passion for analytics and data visualization Data manipulation skills and experience in identifying numerical trends Self driven, highly motivated, fast learner, ambitious and creative

Nawy Proptech is seeking a highly motivated and talented Senior Data Analyst to join our dynamic team. As a Data Analyst at Nawy, you will play a key role in leveraging data to drive strategic decisions and improve business performance. You will be responsible for analyzing, and interpreting different datasets to provide actionable insights that inform various departments across the organization. The ideal candidate will have a strong analytical mindset, excellent problem-solving skills, and the ability to communicate complex findings in a clear and concise manner.<br><br>Collaborate with cross-functional teams to understand business requirements and address data-related challenges Prioritize business requirements within and across projects based on business impact Understand business needs to gather, analyze, interpret, and communicate data that informs stakeholders at all levels to make data-informed decisions Reporting the results back to the relevant members of the business and presenting the story of the data in an easily accessible manner Providing ad-hoc analysis as required to aid management making judgements Develop and maintain dashboards, reports, and visualizations to track key performance metrics Perform advanced data analysis to extract insights, identify trends, and provide actionable recommendations to support business objectives<br><br>Requirements<br><br>Bachelor's degree in Computer Science, Information Systems, or other related technical field or equivalent work Proven experience as a Data Analyst or similar role, 3+ years of experience in a similar position Advanced SQL knowledge/experience - complex queries and query optimization Experienced with data visualization tools such as: Tableau, Looker or Power BIHands-on experience with programming languages Strong understanding of statistical concepts Familiarity with data warehouse development and data modeling Highly detailed oriented, must display passion for analytics and data visualization Data manipulation skills and experience in identifying numerical trends Self driven, highly motivated, fast learner, ambitious and creative

About the Role We are looking for a Business Data Analyst to join our Data Management and AI team and support data-driven decision-making across our digital banking platform. In this role, you will work closely with business stakeholders and technical teams to translate business questions into measurable metrics, build dashboards, and ensure that data insights support business objectives. This position is ideal for a junior analyst who is passionate about data, analytics, and financial technology and wants to grow within a fast-paced fintech environment. Team Overview The Data Management and AI team works across the entire technology stack at QNBeyond Plus, enabling advanced analytics, reporting, and AI-driven insights. Our team collaborates with multiple technology and business teams to manage, analyze, and serve data that helps deliver innovative digital banking experiences for our customers. Key Responsibilities Business & Data Collaboration Act as a bridge between business stakeholders and data teams. Gather and document reporting and analytics requirements. Translate business questions into metrics, KPIs, and analytical insights. Analytics & Reporting Design and develop dashboards and reports to support business decisions. Validate that analytical outputs accurately answer business needs. Data Analysis Analyze business data to identify patterns, trends, and opportunities. Support teams in using data to improve customer experience and operational performance. Stakeholder Engagement Lead analytical initiatives and influence stakeholders with data insights. Ensure effective communication between business teams and technical teams. What We Are Looking For You must be:Self-motivated, proactive, and results-driven A team player who enjoys collaboration and learning A problem solver who approaches challenges with analytical thinking Customer-oriented, committed to delivering valuable insights Detail-oriented, especially regarding data quality and compliance Adaptable and eager to grow in a fast-paced fintech environment Qualifications Technical Skills Strong knowledge of SQLGood understanding of data modeling concepts Knowledge of business intelligence tools is a plus Professional Skills Strong verbal and written communication skills Experience with requirements gathering and documentation Basic leadership or initiative-taking capabilities Domain Knowledge Knowledge of banking or financial services is a plus Experience working in regulated environments or PCI/DSS compliance is advantageous Experience2+ years of experience in data analysis, business analysis, or system analysis At least 1 year of experience in fintech or regulated environments is preferred

Purpose:<br>Support the development, implementation, and maintenance of data science, artificial intelligence, and analytics solutions that enable data-driven decision-making and enhance operational efficiency across the Group.<br>Responsibilities:<br>Work with business stakeholders to understand business requirements and translate them into data-driven solutions, analytical models, and AI-powered products. Develop, implement, and maintain data science, machine learning, and artificial intelligence solutions, including predictive, forecasting, classification, clustering, and anomaly detection models, analytical tools, and business applications that support strategic and operational objectives. Analyse structured and unstructured data to identify trends, patterns, correlations, risks, and opportunities, and provide actionable insights and recommendations to relevant stakeholders. Apply statistical analysis, hypothesis testing, and experimentation techniques to evaluate business problems, validate assumptions, and support data-driven decision-making. Design, develop, and maintain data pipelines, datasets, and support data assets to ensure the availability, quality, integrity, and consistency of information used for analytical and AI solutions. Collaborate with technology and business teams to design, develop, deploy, monitor, and maintain data science solutions, ensuring effectiveness, scalability, and alignment with established technology, information security, and data governance standards. Evaluate the performance and effectiveness of analytical models and AI solutions, establish appropriate success measures, and implement enhancements where required. Research and evaluate emerging technologies, tools, and techniques in data science, artificial intelligence, machine learning, and advanced analytics, and recommend their adoption where appropriate. Ensure compliance with all applicable AML/CTF rules and regulations as required in the conduct of the role. Ensure timely completion of all relevant AML/CTF training provided by the Group. Ensure response to AML, CTF & sanctions inquiries in a timely manner.<br>Job Requirements:<br>Bachelor's degree in Computer Science, Engineering, Information Technology, Data Science, Statistics, Mathematics, or a related field.0 – 2 years’ experience in Data Science, Artificial Intelligence, Machine Learning, Advanced Analytics, or related disciplines. Strong knowledge of statistical analysis, machine learning techniques, predictive modelling, and data mining methodologies. Experience working with Python and relevant data science and machine learning frameworks. Experience working with cloud-based analytics and artificial intelligence platforms, including Azure AI Services or similar technologies. Experience in data preparation, feature engineering, data visualization, and exploratory data analysis. Familiarity with artificial intelligence technologies, including generative AI and large language models. Knowledge of relational and non-relational databases and data management principles. Understanding of software development, system integration, and deployment practices. Excellent communication skills (written, verbal, and listening). Good command of Arabic and English. Able to build partnerships and work well within a team. Ensure deliverables are always of a high quality. Able to prioritize and handle multiple assignments while meeting deadlines.<br>“Thank you for your interest in applying to EFG Holding. Due to the high volume of applications/interest, please note that we are only able to respond directly to applicants that are shortlisted for interviews.”

???? Senior Data Scientist We're hiring a Senior Data Scientist to join a global FMCG leader's Data Insights & AI team — driving advanced analytics and ML solutions across 29 markets in Europe, Africa, and Eurasia. This is a hands-on + high-impact role: you'll own analytics solutions end-to-end (problem framing → deployment → impact), with a strong focus on route-to-market and commercial effectiveness. Over time, you'll also help build and mentor a growing data science team.<br>What you'll do: ???? Partner with business stakeholders to turn ambiguous problems into scalable data products ???? Build and deploy ML/statistical models on large, complex datasets ???? Lead POCs and scale them across multiple markets ???? Work cross-functionally with data engineers & business teams (Agile/SAFe) ???? Help shape data science best practices and mentor junior team members What you bring: ✅ 5+ years hands-on experience in data science / advanced analytics ✅ Strong Python & PySpark skills ✅ Experience with Azure & Databricks (cloud-based, distributed data platforms) ✅ Solid ML, statistical modeling, and experimentation background ✅ Track record of owning projects end-to-end — not just prototypes ✅ CPG, retail, or commercial analytics experience a strong plus ✅ BSc/MSc in Computer Science, Data Science, Statistics, Engineering, or related field

CARMA is a globally trusted media intelligence leader with decades of experience helping PR and communications professionals monitor what matters, measure what's meaningful, and demonstrate the value of their work. We combine cutting-edge technology, including AI-enabled media monitoring across print, online, broadcast, and social channels in 100+ languages, with deep human expertise to deliver actionable insights that inform strategy and drive business-critical decisions. With a diverse global team supporting thousands of organisations worldwide, CARMA empowers partners to turn complex media data into clarity and context, elevate the impact of earned media, and deepen understanding of stakeholder influence across markets.<br><br>Role Overview<br><br>CARMA is seeking an experienced Data Protection Officer to lead its global privacy programme across MENA, Europe and Asia. The role will ensure compliance with applicable data protection laws, oversee privacy governance, DPIAs, data subject requests, breach response, third-party compliance and privacy training, and act as the main point of contact for regulators and supervisory authorities. The ideal candidate will have five to seven years of relevant experience, including at least three years in privacy, with strong knowledge of GDPR and international data protection regulations.<br><br>Role & Responsibilities<br><br>Data Protection Governance<br><br> Develop, implement and continuously improve the company's global privacy programme Maintain privacy governance policies, standards and procedures Ensure privacy controls are embedded across all business functions Develop regional privacy compliance frameworks appropriate for MENA, EU and Asia Establish privacy governance committees and reporting mechanisms<br><br>Regulatory Compliance<br><br>Maintain and evidence compliance with the data protection regimes applicable across the company's markets:<br><br> European Union and United Kingdom: EU General Data Protection Regulation (GDPR), UK GDPR, e Privacy requirements and national implementing legislation MENA: UAE PDPL, Saudi Personal Data Protection Law (PDPL), Oman Personal Data Protection Law and other applicable regional legislation Asia: Singapore PDPA, Hong Kong PDPO, Japan APPI and other applicable regional legislation<br><br>Data Protection Impact Assessments<br><br> Lead Data Protection Impact Assessments (DPIAs) and Privacy Impact Assessments Identify and mitigate privacy risks Advise the business on high-risk processing activities Maintain DPIA registers Review high-risk technologies<br><br>Data Subject Rights (Clients, Prospects and Internal)<br><br>Oversee the processes relating to:<br><br> Access requests Correction requests Erasure requests Portability requests Restriction requests Objection requests Automated decision-making requests<br><br>Incident and Breach Management<br><br> Lead privacy incident response Assess whether breaches are reportable Coordinate investigations Advise management on notification obligations Liaise with regulators where required Conduct post-incident reviews<br><br>Third Party Privacy Compliance<br><br> Review Data Processing Agreements (DPAs) Conduct vendor privacy assessments Monitor third-party compliance Review subprocessors<br><br>Training<br><br> Develop annual privacy training programmes Conduct awareness campaigns<br><br>Audit<br><br> Conduct privacy compliance monitoring Perform internal audits Review regional compliance Monitor remediation actions<br><br>Regulatory Engagement<br><br>Serve as the primary point of contact for:<br><br> Supervisory authorities Data protection regulators Government enquiries and licence requirements Regulatory inspections External auditors<br><br>Policy Development<br><br>Develop and maintain the following policies, and ensure they are business-centric and implemented in practice:<br><br> Global Privacy Policy Employee Privacy Notice Customer Privacy Notice Cookie Policy Data Retention Policy Data Breach Procedure Data Subject Rights Procedure Vendor Privacy Standard AI and Data Governance Policies<br><br>Requirements<br><br>Technical Skills<br><br>Privacy and Regulatory Knowledge<br><br> Strong knowledge of the GDPR and applicable privacy laws across CARMA's operating markets, including the UAE PDPL and the Egyptian Personal Data Protection Law. Knowledge of e Privacy requirements and cookie regulations. Understanding of cross-border data transfer mechanisms, including Standard Contractual Clauses, the UK International Data Transfer Agreement and adequacy decisions. Strong understanding of lawful bases for processing, data subject rights and sensitive personal data. Practical knowledge of privacy-by-design principles and regulatory compliance requirements. <br><br>Information Security Literacy<br><br>The role does not require advanced IT expertise; however, the job holder should have a working understanding of:<br><br> Information security and privacy-by-design principles. ISO/IEC 27001 and the NIST Cybersecurity Framework. Access controls, identity management and cloud security fundamentals. Data protection controls and data-loss prevention. Data breach management and incident-response processes. <br><br>Education<br><br> Bachelor's degree in Law, Information Technology, Information Security, Business Administration or a related discipline. A postgraduate qualification or specialised training in data protection, privacy law or information governance is an advantage. <br><br>Experience<br><br> At least two years of experience in data protection, privacy, legal or compliance roles, including a minimum of three years dedicated to privacy. Demonstrated experience managing a privacy programme across multiple jurisdictions. Practical experience leading Data Protection Impact Assessments, data breach response and data subject rights processes. Experience reviewing Data Processing Agreements and conducting vendor privacy assessments. Experience engaging with supervisory authorities, regulators and external auditors. Experience developing and delivering privacy training and awareness programmes. Experience developing and implementing privacy policies, procedures and compliance controls. <br><br>Preferred Certifications<br><br>The following certifications are advantageous but not required:<br><br> Certified Information Privacy Professional/Europe — CIPP/E. Certified Information Privacy Manager — CIPM. Certified Information Privacy Technologist — CIPT. ISO/IEC 27701 Lead Implementer or Lead Auditor. ISO/IEC 27001 Lead Auditor.

Management:To Strategize, develop and implement Data Protection Controls in coordination with stakeholders across the Organization globally. To ensure compliance of the Organization with the defined policy & framework with a data driven approach<br>Execution To ensure that the protection operations are executed effectively in a timely manner and with required quality Assists in the development and implementation of Data Protection strategic initiatives. Leads all Data protection related tasks with effective monitoring and protection of information security assets.<br>Manager – Data Protection has overall responsibility to coordinate and support the Head of Data Privacy and Protection to achieve organization’s Protection strategy and goals.<br>He/she is a T-Shaped expert with proven skills in most core capability areas of Data Protection and security: Policy, Governance, Protection Strategy & Program Management. Performance evaluation of the role will be based on the positive impact on the bank in terms of Data protection posture enhancement rather than the effort put in place.