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senior software engineer

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junior/standard software engineer, power

senior data analyst

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new "Senior Data Analyst".
 
 
 
 
 
 
 Job purpose:
 
 
 
 To structure and automate organizational data to ensure accuracy, consistency, and alignment across systems, while transforming data into actionable insights that drive key business metrics, optimize costs, and increase overall company value. The role also supports the identification and enablement of data monetization opportunities, contributing to the development of new data-driven revenue streams.
 
 
 
 
 
 
 Key accountabilities:
 
 
 <ul>
 <li>
 Creating reports and developing tools and processes to automate reports.
 </li>
 <li>
 Developing ML algorithms to analyze huge volumes of historical data to make predictions.
 </li>
 <li>
 Analyzing large amounts of data relating to sales, customers or financial performance.
 </li>
 <li>
 Using Structured Query Language (SQL), Tableau Prep and Python to extract data.
 </li>
 <li>
 Aligning reports to business objectives and key performance indicators.
 </li>
 <li>
 Collaborating with other business areas and leaders to identify reporting needs.
 </li>
 </ul>
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 5-7+ Years of experience
 </li>
 <li>
 Minimum bachelor&rsquo;s degree in data or a numerate subject
 </li>
 <li>
 Functional Knowledge (Data Analytical &amp; Strong troubleshooting and report writing abilities)
 </li>
 <li>
 Business Expertise (Business, Market &amp; Industry Knowledge)
 </li>
 <li>
 Solving complex problems with multi-layered data sets, as well as optimizing existing machine learning libraries and frameworks.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

Senior Data Analyst

RATP Dev Mobility Cairo

<div>
 
 Job Purpose
 
 
 
 The Senior Client Data Analyst serves as the strategic bridge between Finance, Treasury, and Operations, ensuring the integrity of the revenue cycle through advanced data architecture and predictive analytics. Reporting to the Treasury Manager, this role is essential for mitigating financial risk, optimizing working capital, and driving the digital transformation of client-facing financial processes.
 
 
 
 Responsibilities/Duties
 
 
 
 
 Profil de candidat recherch&eacute; :
 
 
 
 
 Advanced Financial Analytics &amp; Risk Mitigation
 
 
 
 <ul>
 <li>
 Lead the analysis of client communications, case histories, and dispute patterns to proactively identify systemic risks and root causes of payment delays.
 </li>
 <li>
 Monitor and analyze complex aging receivables and cash-in data to ensure ledger accuracy and facilitate early detection of credit risks.
 </li>
 <li>
 Evaluate client payment behaviors and historical trends to provide actionable insights that optimize collection strategies and minimize bad debt exposure.
 </li>
 <li>
 Audit the e-invoice lifecycle including issuance, acceptance, and rejection phases to streamline the billing workflow and prevent downstream collection bottlenecks.
 
 
 </li>
 </ul>
 
 Strategic Reporting &amp; Digital Transformation
 
 
 
 <ul>
 <li>
 Architect and automate analytical dashboards (e.g., Power BI, Tableau) that provide real-time visibility into receivables and collection KPIs.
 </li>
 <li>
 Design integrated monitoring systems for back-to-back invoicing to track the full financial lifecycle from supplier cash-out to client cash-in.
 </li>
 <li>
 Engineer data-driven forecasting models that provide the Treasury department with high-precision inputs for global cash flow planning.
 </li>
 <li>
 Innovate reporting frameworks by migrating manual data sets into scalable, automated cloud-based environments to enhance organizational agility.
 
 
 </li>
 </ul>
 
 Cross-Functional Leadership &amp; Operational Excellence
 
 
 
 <ul>
 <li>
 Reconcile high-volume client data across Finance, Treasury, and Operations, spearheading process improvements where data silos or discrepancies are identified.
 </li>
 <li>
 Spearhead data-driven presentations for senior management, banking partners, and key stakeholders to support high-stakes financial negotiations and audits.
 </li>
 <li>
 Direct on-site communications and client-facing meetings by providing empirical evidence to resolve complex disputes and strengthen commercial relationships.
 </li>
 <li>
 Advise the Treasury Manager on day-to-day liquidity shifts and operational tasks, serving as a technical subject matter expert for the broader finance team.
 
 
 </li>
 </ul>
 
 Safety Responsibilities
 
 
 
 <ul>
 <li>
 Promote a positive safety culture within the workplace and attend any safety-related meetings or briefings as required within the job role.
 </li>
 <li>
 Comply with the requirements of RDMC RQHSE Policy and Safety Management System.
 </li>
 <li>
 Be mindful that Safety, Security, and Environmental protection are everyone&rsquo;s responsibility. All staff members are accountable for reporting and intervening in any Safety, Security, or Environmental violations.
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 ESSENTIAL QUALIFICATIONS, KNOWLEDGE &amp; EXPERIENCE
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Finance, Data Science, or Business Administration.
 </li>
 <li>
 Professional certification in data visualization (e.g., Microsoft Certified: Power BI Data Analyst Associate) or finance (e.g. CMA) is an advantage.
 
 
 </li>
 </ul>
 
 Knowledge
 
 
 
 <ul>
 <li>
 Advanced command of Power BI (DAX/Power Query), SQL, and ERP systems (SAP, Oracle, or Microsoft Dynamics 365), is an advantage.
 </li>
 <li>
 Deep understanding of Accounts Receivable (AR) lifecycles, GAAP/IFRS standards, and e-invoicing regulatory frameworks.
 </li>
 <li>
 Deep knowledge of data privacy laws.
 
 
 </li>
 </ul>
 
 Experience
 
 
 
 <ul>
 <li>
 5&ndash;7 years of progressive experience in financial data analysis, revenue operations, or treasury analytics.
 
 
 </li>
 </ul>
 
 Desired Behaviors &amp; Experiences
 
 
 
 <ul>
 <li>
 Proven track record of transforming "raw data" into clean, executive-ready narratives that drive decision-making.
 </li>
 <li>
 Ability to challenge the status quo and influence cross-functional stakeholders without direct authority.
 </li>
 <li>
 A forward-thinking approach to AI and Machine Learning applications in predictive financial modeling.
 </li>
 <li>
 High emotional intelligence when managing complex client disputes or high-pressure month-end closing cycles.
 </li>
 <li>
 High level of professionalism, ethical conduct, and integrity.
 </li>
 </ul>
</div>

Sr Client Data Analyst

Amazon

<div>
 
 Description
 
 
 
 Amazon is a highly data driven company highly obsessive about metrics. The Data analysts play a crucial role in creating unique reports from data available in multiple locations and providing vital insights into the root cause of quality defects and inventory adjustments. ICQA Data Analyst will work closely with the ICQA, Learning and Finance departments to provide data and analytical support for the business.
 
 
 Key job responsibilities
 
 
 <ul>
 <li>
 Development of data collection processes and data management systems
 </li>
 <li>
 Designing of queries, compiling of data, and generation of reports in SQL
 </li>
 <li>
 Charting and graphing of data for reporting purposes
 </li>
 <li>
 Developing dashboard (Amazon Quicksight) to support business decision making and dive deep activities
 </li>
 <li>
 Develop automation solution for analysis (python)
 </li>
 <li>
 Prepare and publish reports for business reviews (Weekly Business Review, Quarterly Business Review, Project Updates)
 </li>
 <li>
 Supporting leadership team how to interpret data trends as needed
 </li>
 <li>
 In depth research of defect trends
 </li>
 <li>
 Present analysis in easily digestible standard reports
 </li>
 <li>
 Support to ICQA &amp; Learning Team Projects
 
 
 </li>
 </ul>
 
 Basic Qualifications
 
 
 
 <ul>
 <li>
 Experience that includes strong analytical skills, attention to detail, and effective communication abilities
 </li>
 <li>
 Experience communicating clearly and effectively with different functional groups including senior business leaders, finance, HR and developers
 </li>
 <li>
 Experience managing and executing large projects from start to finish, including project management, data gathering and modeling, problem solving, and communicating recommendations
 </li>
 <li>
 Experience translating customer needs into business requirements
 </li>
 <li>
 Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with training and deploying machine learning systems to solve large-scale optimizations, or experience in development or technical support
 
 
 </li>
 </ul>
 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you&rsquo;re applying in isn&rsquo;t listed, please contact your Recruiting Partner.
 
 
 
 
 Company
 
 - Souq.com for E-Commerce LLC
 
 
 Job ID: A3176702
</div>

Data Analyst, AMET Central Data Analytics team

Deloitte

<div>
 
 Senior Data &amp; Analytics Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte, established globally in 1845, is the world&rsquo;s largest and leading professional services firm, providing Audit &amp; Assurance, Tax &amp; Legal and Consulting and related services to public and private clients spanning multiple industries. Present in more than 150 countries, Deloitte is distinct in its ability to help clients solve their most complex problems, from strategy to implementation.
 
 
 Deloitte innovation hub (DIH) is a strategic initiative established by Deloitte North &amp; South Europe (NSE) to support our ambition to become the leading business transformation partner of choice for our clients and to expand and scale our delivery footprint across EMEA. With access to a scaled, diverse, highly skilled, motivated, and engaged workforce, DIH is delivering complex technical solutions for clients&rsquo; most complex business problems, across portfolios that include &lsquo;Strategy &amp; Transactions&rsquo;, &lsquo;Customer&rsquo;, &lsquo;Engineering, AI &amp; Data, &lsquo;Enterprise, Technology &amp; Performance&rsquo; and &lsquo;Cyber&rsquo;. DIH is aiming to become the destination for top talents in Egypt for a long, exciting career.
 
 
 We invest in outstanding people of diverse talents and backgrounds and empower them to achieve more than they could elsewhere. Our work combines advice with action and integrity. We believe that when our clients and society are stronger, so are we. Our organization has grown in scale and diversity, providing services across the region, with our shared culture remaining the same. We aim to help clients realize their ambitions, make a positive difference in society, and maximize the success of our people. This drive fuels the commitment and humanity that run deep through our every action.
 
 
 
 Connect to your opportunity.
 
 
 
 The team sits within AI &amp; Data consulting group. You&rsquo;ll be working on a range of initiatives and projects across different sectors.
 
 
 Our Projects Vary Greatly And Your Responsibility As a Consultant Will Differ Based On The Focus Of The Client Engagement And Your Skillset. However, Your Role Could Include And May Require You To:
 
 
 <ul>
 <li>
 Design or build part of a data solution such as an ETL component, data warehouse or reporting solution, data virtualization implementation.
 </li>
 <li>
 Work with client stakeholders to design the source to target mappings for a large-scale data migration.
 </li>
 <li>
 Advise clients on appropriate tooling for a particular solution based on your expertise in specific technologies.
 </li>
 <li>
 Conduct stakeholder interviews or support client workshops to capture business or technical requirements for a data solution.
 </li>
 <li>
 Support the development of client bids and presentations of proposals.
 </li>
 <li>
 Work effectively in diverse teams within an inclusive team culture where people are recognized for their contribution.
 </li>
 <li>
 Develop and grow the Delivery practice by contributing to the development and delivery of training content, reusable assets, playbooks, and industry / technology propositions as well as actively participating in community events to share knowledge and nurture positive and collaborative relationships within the practice.
 
 
 </li>
 </ul>
 
 
 Connect To Your Skills And Professional Experience.
 
 
 
 
 The ideal candidate for this position will possess a range of personal qualifications and skills that will enable them to excel in this role.
 
 
 3 - 6 years of relevant experience.
 
 
 <ul>
 <li>
 Problem-solving skills: Demonstrates the ability to identify and solve complex problems using a structured and logical approach.
 </li>
 <li>
 Systems engineering: You should have experience in managing functional and non-functional requirements and have a deep understanding of systems engineering methodologies.
 </li>
 <li>
 Stakeholder management: Demonstrates the ability to build and maintain positive relationships with stakeholders, and to effectively communicate technical concepts to non-technical audiences.
 </li>
 <li>
 Organizational skills: Is highly organized and efficient and has a proven ability to manage multiple projects simultaneously.
 </li>
 <li>
 Creativity and innovation: Are able to think creatively and come up with new solutions to problems.
 </li>
 <li>
 Communication skills: Is able to communicate effectively with technical and non-technical audiences, both verbally and in writing.
 
 
 </li>
 </ul>
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data engineering and analytics.
 
 
 Candidates will have hands on experience with one or more technologies relevant to these areas:
 
 
 <ul>
 <li>
 Data Integration (including ETL / ELT).
 </li>
 <li>
 Data Migration.
 </li>
 <li>
 Master Data Management.
 </li>
 <li>
 Business Intelligence and Reporting.
 </li>
 <li>
 Data Warehousing.
 </li>
 <li>
 Data Virtualization.
 </li>
 <li>
 Big Data Engineering.
 </li>
 <li>
 Business and Data Analysis.
 </li>
 <li>
 Data Governance.
 </li>
 <li>
 Data Cataloguing.
 </li>
 <li>
 Data Quality.
 
 
 </li>
 </ul>
 We Are Specifically Looking For Candidates With Both Technical And Business Focused Skills, Who Can Articulate The Outcomes And Value Of Their Work, And Have Working Experience In Some Of The Following:
 
 
 <ul>
 <li>
 Experience of working as a data analyst with ability to translate business requirements into functional and technical data designs.
 </li>
 <li>
 Ability to demonstrate stakeholder management skills and collaborate effectively within multidisciplinary teams.
 </li>
 <li>
 Experience in Agile and/or DevOps for software development &amp; IT operations and knowledge of SDLC.
 </li>
 <li>
 Experience in ETL tools such as Informatica, SSIS, Talend or Pentaho.
 </li>
 <li>
 Knowledge of data governance and data management tools such as Informatica MDM, Informatica AXON, Informatica EDC, and Collibra.
 </li>
 <li>
 Knowledge of one or more databases such as MySQL, SQL Server, Oracle, Snowflake, PostgreSQL, and NoSQL databases.
 </li>
 <li>
 Familiarity with programming languages such as Spark or Python.
 </li>
 <li>
 Familiarity with popular cloud platforms such as Amazon Web Services, Microsoft Azure or Google Cloud and distributed processing technologies such as Hadoop.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology &amp; Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Connect to your Industry.
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organizations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo; Dan, Consulting
 
 
 
 Personal independence.
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to several audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 
 
 Our commitment to you
 
 
 
 Making an impact is more than just what we do: it&rsquo;s why we&rsquo;re here. So we work hard to create an environment where you can experience a purpose you believe in, the freedom to be you, and the capacity to go further than ever before.
 
 
 We want you. The true you. Your own strengths, perspective, and personality. So, we&rsquo;re nurturing a culture where everyone belongs, feels supported and heard, and is empowered to make a valuable, personal contribution. You can be sure we&rsquo;ll take your wellbeing seriously, too. Because it&rsquo;s only when you&rsquo;re comfortable and at your best that you can make the kind of impact you, and we, live for.
 
 
 Your expertise is our capability, so we&rsquo;ll make sure it never stops growing. Whether it&rsquo;s from the complex work you do, or the people you collaborate with, you&rsquo;ll learn every day. Through world-class development, you&rsquo;ll gain invaluable technical and personal skills. Whatever your level, you&rsquo;ll learn how to lead.
 
 
 
 Connect to your next step.
 
 
 
 A career at Deloitte is an opportunity to develop in any direction you choose. Join us and you&rsquo;ll experience a purpose you can believe in and an impact you can see. You&rsquo;ll be free to bring your true self to work every day. And you&rsquo;ll never stop growing, whatever your level.
 
 
</div>

Deloitte Innovation Hub I Senior Data & Analytics Engineer, Cairo, Egypt

Envision Employment Solutions

<div>
 
 
 Envision Employment Solutions
 
 is currently hiring a
 
 Senior Data Scientist
 
 for one of our partners, a global leader in IT Services and IT Consulting.
 
 
 
 
 
 
 
 
 
 Job Summary:
 
 
 
 We are seeking a highly experienced Senior Data Scientist to design, build, and deploy advanced machine learning and NLP solutions, including large language model applications. The ideal candidate has strong production experience, deep expertise in transformer-based architectures, and a proven ability to lead technical initiatives from research to deployment.
 
 
 
 
 
 
 
 
 
 Responsibilities:
 
 
 
 
 Machine Learning &amp; NLP Development
 
 
 <ul>
 <li>
 Design and develop end-to-end machine learning models, with a strong focus on NLP applications
 </li>
 <li>
 Fine-tune and deploy large language models such as GPT, BERT, and LLaMA for specific use cases
 </li>
 <li>
 Build, train, and evaluate deep learning models using TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Implement Retrieval-Augmented Generation (RAG) and embedding-based semantic search solutions
 </li>
 <li>
 Develop and optimize transformer-based models for summarization, Q&amp;A, and document intelligence tasks
 </li>
 <li>
 Evaluate and optimize prompt engineering strategies and context efficiency
 </li>
 </ul>
 
 
 
 
 
 Data
 
 
 Engineering
 
 &amp; Pipelines
 
 <ul>
 <li>
 Develop data pipelines using tools such as Airflow, Spark, or Dataiku
 </li>
 <li>
 Perform data wrangling and preprocessing using pandas and NumPy
 </li>
 <li>
 Design and manage feature stores
 </li>
 <li>
 Integrate and manage vector databases such as Pinecone, FAISS, or Chroma
 </li>
 </ul>
 
 
 
 
 
 Model Deployment &amp; Production
 
 
 <ul>
 <li>
 Build and maintain RESTful APIs for serving ML models in production
 </li>
 <li>
 Deploy scalable AI services and manage CI/CD pipelines
 </li>
 <li>
 Monitor model performance, drift detection, and lifecycle management
 </li>
 <li>
 Conduct A/B testing, ensemble blending, and apply explainability techniques such as SHAP and LIME
 </li>
 </ul>
 
 
 
 
 
 Statistical &amp; Analytical Expertise
 
 
 <ul>
 <li>
 Apply advanced statistics, probability theory, and experimental design
 </li>
 <li>
 Conduct hypothesis testing and data-driven analysis to support business decisions
 </li>
 </ul>
 
 
 
 
 
 Collaboration &amp; Integration
 
 
 <ul>
 <li>
 Work closely with product and engineering teams to embed AI solutions into production systems
 </li>
 <li>
 Collaborate with cross-functional stakeholders to deliver scalable AI capabilities
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirements
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Data Science, Artificial Intelligence, Computer Science, or related field
 </li>
 <li>
 Minimum 4 years of experience in machine learning and data science roles
 </li>
 <li>
 Proven track record of delivering production-grade ML and NLP projects
 </li>
 <li>
 Experience leading small data science teams or technical workstreams
 </li>
 </ul>
 
 
 
 
 
 Technical Requirements
 
 
 <ul>
 <li>
 Strong programming skills in Python and R
 </li>
 <li>
 Proficiency in ML libraries including Scikit-learn, pandas, and NumPy
 </li>
 <li>
 Experience with deep learning frameworks such as TensorFlow, PyTorch, or Keras
 </li>
 <li>
 Hands-on experience with NLP libraries including NLTK, spaCy, TextBlob, and Hugging Face Transformers
 </li>
 <li>
 Strong expertise in transformer architectures and LLM fine-tuning
 </li>
 <li>
 Experience using LangChain or LlamaIndex for orchestration
 </li>
 <li>
 Experience deploying ML models via RESTful APIs
 </li>
 <li>
 Knowledge of model monitoring, explainability, and performance optimization
 </li>
 </ul>
 
 
 
 
 
 Leadership and Soft Skills
 
 
 <ul>
 <li>
 Ability to lead small teams or project workstreams
 </li>
 <li>
 Strong ownership mindset with focus on quality and delivery timelines
 </li>
 <li>
 Ensures alignment of technical work with business KPIs
 </li>
 <li>
 Coaches and mentors mid-level team members
 </li>
 <li>
 Strong problem-solving and collaboration skills
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Benefits &amp; Work Setup
 
 
 <ul>
 <li>
 Basic salary
 </li>
 <li>
 Social insurance
 </li>
 <li>
 Family Medical Insurance (AXA)
 </li>
 <li>
 
 Location:
 
 New Cairo
 </li>
 <li>
 
 Work Model:
 
 Hybrid &ndash; 2 days in the office and 3 days remote. If assigned to a project, you may be required to work from the client&rsquo;s premises on a daily basis, depending on the project requirements.
 </li>
 <li>
 
 Working Hours:
 
 9 AM to 6 PM
 </li>
 <li>
 
 Days Off:
 
 Fridays and Saturday
 </li>
 </ul>
</div>

Senior Data Scientist

<div>
 
 Senior Data Modelling Engineer, Cairo, Egypt
 
 
 
 
 Connect to your career at Deloitte
 
 
 
 Deloitte drives progress. Using our vast range of expertise, that covers audit, risk advisory, and consulting services across tax, legal, business, technology and corporate finance, we help our clients become leaders wherever they choose to compete. To do this, we invest in outstanding people. We build teams of future thinkers, with diverse talents and backgrounds, and empower them all to reach for and achieve more.
 
 
 What brings us all together at Deloitte? It&rsquo;s how we approach the thousands of decisions we make every day. How we behave, our beliefs and our attitudes. In other words: our values. Whatever we do, wherever we are in the world,
 
 we lead the way, serve with integrity, take care of each other, foster inclusion, and collaborate for measurable impact.
 
 These five shared values lead every decision we make and action we take, guiding us to deliver impact how and where it matters most.
 
 
 
 Connect to your opportunity
 
 
 
 Data is the key enabler across a range of business functions. Without a solid data foundation, clients struggle to achieve their vision for a data-powered future, including implementing advanced analytics, machine learning, process automation and artificial intelligence to name a few. Our team delivers transformational data solutions to our insurance clients that benefit our clients, their customers and regulators.
 
 
 Our fast-paced, stimulating, team-based and fun environment will allow you to take your career to the next step by developing new skills and honing existing ones, through the best training and exposure to leading-edge technology-enabled programmes.
 
 
 You will be part of the following wider group within our Consulting portfolio offerings.
 
 
 
 Your role
 
 
 
 You will manage the data design for transformational data solutions to our clients. You will work with other architects with different areas of expertise to define business-facing data models that coherently enable a range of business processes and insurance functions.
 
 
 Our consultants work in a variety of projects to solve clients&rsquo; toughest data problems by combining industry experience, consulting and analytical skills to create a lasting impact.
 
 
 Whether it is defining a data model, inputting to a data/solution/technical architecture or articulating requirements for data ecosystems, we need the very best people to join us and strengthen our team even further. That is where you come in.
 
 
 
 Skills
 
 
 
 Our projects and clients vary greatly and your responsibility will differ slightly based on the focus of the client engagement and your skillsets, but within our AI &amp; Data practice, your role will involve:
 
 
 <ul>
 <li>
 Analyzing clients&rsquo; business and technical environment through workshops and analysis of design documents to derive functional and technical insights to support the design and delivery of data models and data-related deliverables.
 </li>
 <li>
 Delivery of business-facing insurance data models that effectively articulate designs, opportunities and challenges and can be used as a foundation for insurance transformations.
 </li>
 <li>
 Inputting to the design of end-to-end architectures that articulate what functions are required to support data and analytics activities.
 </li>
 <li>
 Helping market-leading clients understand how they can use data to address challenges, ambitions or objectives.
 </li>
 <li>
 Leading relationships with senior client stakeholders to define a &lsquo;common language for data&rsquo;, so that data across the organization can be interpreted and used consistently and efficiently for required purposes.
 </li>
 <li>
 Managing effective, enthused and diverse teams within an inclusive team culture where people are recognized for their contribution.
 </li>
 <li>
 Understanding the importance of stakeholder and change management and supporting development and implementation processes.
 </li>
 <li>
 Assisting in the further development of our market leading solution and delivery offerings and help produce proposal documents to showcase our capabilities to clients.
 </li>
 <li>
 Contributing to the development of our thriving Strategy, Governance and Architecture community.
 </li>
 <li>
 Build our capability by training and managing talented members of our team.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience
 
 
 
 We are looking for candidates who are able to demonstrate skills and experience in some of the following.
 
 
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data engineering, modelling and analytics.
 
 
 
 Essential
 
 
 
 <ul>
 <li>
 Strong understanding of data solutions, including data modelling, data management, data quality, master data management, reference data, reporting and visualization, analytics and self-service business intelligence.
 </li>
 <li>
 Experience developing a &lsquo;common language for data&rsquo;, including data models (all types), data dictionaries, data vocabularies, taxonomies or ontologies.
 </li>
 <li>
 Demonstrate an understanding of data modelling principles and familiarity with processes, policies and any of the key data modelling tools.
 </li>
 <li>
 Experience in engaging with both Business and IT stakeholders to document business outcomes and objectives for large-scale solutions and programmes.
 </li>
 <li>
 Led data design workshops, including defining client requirements, document data models and reviewing output with stakeholders.
 </li>
 <li>
 Be able to assimilate and apply new techniques and knowledge to achieve business outcomes.
 </li>
 <li>
 Work within an inclusive team culture where people are recognized for their contribution helping them grow their career in Deloitte.
 
 
 </li>
 </ul>
 Desirable
 
 
 Consulting experience, including;
 
 
 <ul>
 <li>
 Working on client facing projects.
 </li>
 <li>
 Experience of contributing to proposal writing, presentations and pre-sales activities.
 </li>
 <li>
 Excellent problem solving and analytical skills.
 </li>
 <li>
 Strong senior stakeholder management using clear communications and be able to form strong client relationships and explain complex data designs to business stakeholders.
 </li>
 <li>
 Experience in managing people, providing dynamic day-to-day workstream leadership that nurtures and develops junior talent, creating effective data design teams.
 </li>
 <li>
 TOGAF certified or certification/good exposure to architecture and data management frameworks.
 </li>
 <li>
 Experience in conducting architectural evaluation, design and analysis of enterprise-wide systems including on-premise and cloud-based solutions.
 </li>
 <li>
 Define transition states and alignment of solution and features across the work streams.
 </li>
 <li>
 Experience in defining the data components of an architecture blueprint and technology selection.
 </li>
 <li>
 Experience as part of effective cross-geography teams, making effective use of offshore delivery teams.
 </li>
 <li>
 Work with development teams to assure data design is translated into a robust implementation.
 </li>
 <li>
 Ability to size projects and shape delivery of large programmes.
 </li>
 <li>
 Good understanding of regulatory and compliance requirements such as GDPR, IFRS17, Solvency II.
 </li>
 <li>
 Establish technical design authorities to review and manage design decisions.
 </li>
 <li>
 Project Management experience of both waterfall and agile delivery approaches.
 
 
 </li>
 </ul>
 
 Connect to your service line - Consulting.
 
 
 
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</div>

Deloitte Innovation Hub I Senior Data Modelling Engineer, Cairo, Egypt

Coca-Cola HBC

<div>
 
 
 Location:
 
 New Cairo, Egypt
 
 
 
 Department:
 
 Data Science &amp; AI
 
 
 
 Role reports to:
 
 Data Science &amp; AI Manager
 
 
 
 Contract Type:
 
 Permanent
 
 
 
 Work Model:
 
 Hybrid (4 days from office)
 
 
 
 
 
 
 
 
 We are seeking a seasoned and self-organizing Senior Data Scientist to join our Data Science in Digital Commerce team. This role is ideal for someone who combines deep technical expertise with strategic thinking and a strong sense of initiative. You will be expected to proactively drive progress, anticipate project needs, and ensure that analytical work is not only technically sound but also aligned with business priorities and customer impact. The role requires someone who naturally engages across teams and stakeholders, contributing to a collaborative and outcome-oriented environment.
 
 
 
 
 
 
 IN THIS EXCITING ROLE YOU WILL:
 
 
 
 
 
 
 &bull; Lead the development and deployment of advanced analytics and traditional machine learning solutions, working hands-on, as proof-of-concept and in production environments.
 
 
 &bull; Manage sub-project workflows independently, identifying next steps and ensuring timely execution at feature level.
 
 
 &bull; Collaborate with cross-functional teams to translate complex analytical findings into clear, actionable recommendations for both technical and non-technical audiences.
 
 
 &bull; Stay current with emerging technologies, with a particular focus on Generative AI and its practical applications.
 
 
 &bull; Deliver scalable, maintainable solutions that support customer and business needs.
 
 
 &bull; Lead a small team of data scientists, while collaborating with internal engineering team
 
 
 &bull; Have opportunities for professional training and certifications as well as mentorship.
 
 
 
 
 
 
 YOU CAN BE SUCCESFULL IN THIS ROLE IF YOU HAVE:
 
 
 
 
 
 
 &bull; MSc or PhD in Data Science, Engineering or a related field.
 
 
 &bull; A mindset geared toward ownership, communication, initiative, and continuous improvement.
 
 
 &bull; Interest in gaining domain specific knowledge concerning the business model of Coca Cola Hellenic.
 
 
 &bull; Minimum 5 years of experience in data science roles, with a strong track record of delivering analytics solutions (propensity modeling, forecasting, optimization) both as proof-of-concept and in production.
 
 
 &bull; Team leadership and ideally people management experience of at least one year.
 
 
 &bull; Proficiency in Python/Pyspark, SQL and ML libraries, and ideally certification(s) in Databricks or Azure, as well as experience with PowerBI. Other cloud services are also acceptable.
 
 
 &bull; Concrete experience in SAFe-agile as way of working, as well as DevOps/MLOps in development.
 
 
 &bull; Strong, self-driven exposure in GenAI. Familiarity with Microsoft Copilot Studio and Foundry will be appreciated.
 
 
 &bull; Great communication skills and the ability to engage with both technical and business stakeholders.
 
 
 &bull; Functional experience in the Digital area (such as Marketplaces, B2C apps, e-Retailers) is a plus.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM:
 
 
 
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact. We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person
 
 
 can be. And although we have so much to be proud of, we always stay humble. We believe the real magic happens - for us and for you - when we OPEN UP.
 
 
 
 
 
 At Coca-Cola HBC, we are an inclusive employer that thrives on diversity. This means our environment provides equal opportunities for all, regardless of race, color, religion, age, disability, sexual orientation, or gender identity. Join us in nurturing a culture where everyone belongs and contributes to our collective Success.
 
</div>

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