backend engineer

data engineer

junior software engineer

lead ai & data science

manufacturing engineer

machine learning engineer

Deloitte

<div>
 
 Senior AI / ML 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.
 
 
 
 We are seeking committed new talent to join our AI &amp; Data team.
 
 
 Our goal is to work together with our clients to drive innovation and insight from their data, using cutting edge Data Science and Machine Learning techniques alongside Digital Transformation.
 
 
 
 As a Consultant In Our Team, You Will
 
 
 
 <ul>
 <li>
 Apply data science and machine learning techniques creatively to solve complex problems.
 </li>
 <li>
 Research and develop innovative solutions.
 </li>
 <li>
 Stay abreast in new machine learning techniques and data technologies.
 </li>
 <li>
 Participate in all phases of the data science lifecycle from PoC to fully tested productionised solutions.
 </li>
 <li>
 Prepare technical documentation.
 </li>
 <li>
 Be responsible for the high-quality delivery of key parts of our engagements working with our senior data scientists.
 </li>
 <li>
 Suggest practical solutions to clients and work to implement these solutions as a part of larger project teams.
 </li>
 <li>
 Assisting in the crafting of responses to client proposal requests and in pitching data science projects to client.
 
 
 </li>
 </ul>
 
 Your Tasks Would Include
 
 
 
 Data requirements gathering and client engagement:
 
 
 <ul>
 <li>
 Being able to engage with the client to understand their pain points and requirements.
 </li>
 <li>
 Communicate solutions/propositions effectively back to client/team.
 
 
 </li>
 </ul>
 Data analysis and pre-processing
 
 
 <ul>
 <li>
 Collect and clean large datasets for machine learning projects.
 </li>
 <li>
 Explore data to identify patterns, anomalies, and potential insights.
 </li>
 <li>
 Pre-process data, including feature engineering and normalization.
 
 
 </li>
 </ul>
 Algorithm Development
 
 
 <ul>
 <li>
 Design, develop, and implement machine learning algorithms.
 </li>
 <li>
 Experiment with various machine learning models and techniques.
 </li>
 <li>
 Optimize algorithms for accuracy, efficiency, and scalability.
 
 
 </li>
 </ul>
 Model Training and Evaluation
 
 
 <ul>
 <li>
 Train machine learning models using collected data.
 </li>
 <li>
 Perform testing to validate models.
 </li>
 <li>
 Evaluate model performance using appropriate metrics and techniques.
 </li>
 <li>
 Fine-tune models to improve predictive accuracy.
 
 
 </li>
 </ul>
 Data Visualization
 
 
 <ul>
 <li>
 Create informative data visualizations to communicate insights effectively.
 </li>
 <li>
 Familiarity with visualization libraries like Matplotlib, Seaborn, or data visualization software&rsquo;s like Tableau, PowerBI.
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience.
 
 
 
 You're a Natural Problem Solver: Collaboration is at the core of our culture, and we're seeking someone who excels in teamwork and brings out the best in their colleagues. You'll be a brilliant listener, promoting a culture of innovation and knowledge sharing. At Deloitte, we believe in giving our AI/ML Engineers the autonomy they need to excel while upholding our high standards, integrity, and culture.
 
 
 All candidates must hold a BSc of computer engineering or equivalent and have 3-6 years of experience in data science and AL/ML.
 
 
 
 Essentials
 
 
 
 <ul>
 <li>
 Technical Expertise: Mastery in AI and ML algorithms, frameworks (e.g., TensorFlow, PyTorch), and libraries.
 </li>
 <li>
 Data proficiency: Proficient in data collection, pre-processing, and analysis.
 </li>
 <li>
 Model Mastery: Proven experience in developing and fine-tuning machine learning models.
 
 
 </li>
 </ul>
 
 Desirables
 
 
 
 <ul>
 <li>
 Domain Knowledge: Familiarity with deploying ML frameworks in industry.
 </li>
 <li>
 Research Enthusiast: A strong interest in staying abreast of the latest AI/ML advancements.
 </li>
 <li>
 Project Leadership: Previous experience leading AI/ML initiatives.
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology and 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.
 
 
 
 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 AI/ ML Engineer, Cairo, Egypt

Henkel

<div>
 
 About this Position
 
 The Data Scientist enables value creation with data innovations (e.g. Applied data Science, Machine Learning, Artificial Intelligence, Quantitative Research &amp; Statistics) and productionizing data products. The team includes experts in analytics and finance, implementing analytical use cases for Adhesives unit (HAT), from product innovation to customer facing applications. The team is responsible for applying the latest tools and technologies as well as cloud services to design, build and run data driven AI solutions that contribute to Henkel&rsquo;s digitalization strategy.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Solve complex business problems with data; using data scientific tools to find solutions for challenges in the realm of both big and small data: developing custom data models and algorithms to apply to data sets
 </li>
 <li>
 Delivers data science products from idea to deployment
 </li>
 <li>
 Actively participate in cross-functional project teams in the execution of our analytics strategy, exploring emerging technologies and leveraging their full potential
 </li>
 <li>
 Develop processes and tools to monitor and analyze model performance and data accuracy
 </li>
 <li>
 Acts as data science ambassador across business units and functions
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Network Engineering, Business informatics, or any relevant study
 </li>
 <li>
 3-5 years of relevant work experience
 </li>
 <li>
 Expert knowledge in at least one of the following data science areas: supervised or unsupervised machine learning, statistical modeling
 </li>
 <li>
 Business acumen and ability to work closely with non-technical teams
 </li>
 <li>
 High confidence in verbal and written communication.
 </li>
 <li>
 Experience using statistical computer languages (Python and SQL knowledge is a must)
 </li>
 <li>
 Experience analyzing data from 3rd party providers is preferable
 </li>
 <li>
 Microsoft Azure (DevOps, machine learning, databricks etc.) experience is preferable
 
 
 </li>
 </ul>
 
 Some perks of joining Henkel
 
 
 
 <ul>
 <li>
 Flexible work scheme with flexible hours, hybrid work model, and work from anywhere policy for up to 30 days per year
 </li>
 <li>
 Diverse national and international growth opportunities
 </li>
 <li>
 Globally wellbeing standards with health and preventive care programs
 </li>
 <li>
 Gender-neutral parental leave for a minimum of 8 weeks
 </li>
 <li>
 Employee Share Plan with voluntary investment and Henkel matching shares
 </li>
 <li>
 Comprehensive Health Insurance for employee + dependents
 </li>
 <li>
 Employee Assistance Program provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Scientist

EVA pharma

<div>
 
 Join EVA Pharma, a leading pharmaceutical company dedicated to empowering the fight for&nbsp;Health and well-being as a fundamental human right. Recognized and certified as a best place to work, we are committed to fostering a supportive and innovative environment for&nbsp;our team members.
 
 
 
 Job Summary:
 
 
 We are seeking a passionate and talented
 
 Data Scientist II
 
 to join our dynamic team. The&nbsp;ideal candidate will contribute to our mission of enhancing human health and well-being,&nbsp;ensuring that we meet the highest standards of excellence in our industry.
 
 
 
 
 Key Responsibilities:
 
 
 <ul>
 <li>
 Collect, clean, and analyze structured and unstructured datasets to uncover insights and support data-driven decisions. Build and validate predictive models and machine learning algorithms to address business and healthcare challenges
 </li>
 <li>
 Apply cutting-edge techniques such as large language models, fine-tuning, and retrieval-augmented generation to create generative AI solutions for areas like drug discovery, clinical research, and patient engagement
 </li>
 <li>
 Conduct statistical tests, identify key patterns and correlations, and design experiments to validate hypotheses and measure impact
 </li>
 <li>
 Translate analytical findings into clear, actionable insights through Power BI dashboards and visual reports that inform strategic and operational decisions
 </li>
 <li>
 Stay current with emerging AI and ML technologies, apply modern data science tools to enhance efficiency, and collaborate with data engineers to deploy and optimize production-ready models
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 Bachelor's degree in Data Science, Computer Science, Statistics, or a related field
 </li>
 </ul>
 <ul>
 <li>
 2-4 years of experience as a Data Scientist or in a similar analytical role
 </li>
 <li>
 Strong command of Python and SQL, with hands-on experience using machine learning libraries such as scikit-learn, TensorFlow, or PyTorch
 </li>
 <li>
 Familiarity with modern Generative AI frameworks and tools, including Hugging Face and LangChain, is highly desirable, with a Solid foundation in statistics, data analysis, and hypothesis testing, along with proficiency in Power BI for creating dashboards and reports
 </li>
 <li>
 Experience working with cloud platforms (e.g. Azure, or GCP), strong problem-solving abilities, and the capability to communicate complex analytical insights clearly to diverse audiences
 </li>
 </ul>
</div>

Data Scientist II

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data, Insights &amp; AI Products &amp; Platforms
 
 
 
 Location:
 
 Egypt (Cairo).
 
 
 
 
 
 
 As an Artificial Intelligence (AI) Developer will join our growing DTPS Visual Analytics team. He/She will be responsible for designing and developing AI applications and systems that drive innovation and improve our existing products and services. He/She will focus on developing the tools, systems, and processes that enable artificial intelligence to be applied in the real world. Any application where machines mimic human functions, such as solving problems and learning, can be considered artificial intelligence. This role includes AI development in Power BI to deliver intelligent, data-driven visual analytics
 
 
 .He/She will collaborate with cross-functional teams, including data scientists, data engineers, and product managers, to bring AI-powered solutions to life
 
 
 
 
 
 
 .
 
 YOUR NEW KEY RESPONSIBILITIE
 
 
 
 
 
 <ul>
 <li>
 S:
 
 Part of a team responsible for charting the AI strategy and defining the problems to be solved with
 </li>
 <li>
 AI.Integration of advanc
 
 ed AI featu
 
 res in
 
 to Power
 
 BI repor
 </li>
 <li>
 ts.Use of AI visuals like decomposition trees, key influencers, and Q&amp;
 </li>
 <li>
 ;A.Collaboration with business users to deliver intelligent, AI-powered dashboar
 </li>
 <li>
 ds.Embeddi
 
 ng machine learn
 
 ing models in
 
 to Power
 
 BI using Azure
 </li>
 <li>
 ML.Enabli
 
 ng predict
 
 ive analytics and NLP (Natural Language Processing) within repor
 </li>
 <li>
 ts.Participate in code and design reviews to maintain a high-quality codeba
 </li>
 <li>
 se.Collaborate across teams to help with AI adoption and best practic
 </li>
 </ul>
 
 
 
 
 
 es.
 
 ARE THESE YOUR SECRET INGREDIE
 
 
 
 
 
 <ul>
 <li>
 NTS?
 
 Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related f
 </li>
 <li>
 ield.3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence t
 </li>
 <li>
 ools.Proven experience developing AI-powered solution
 
 s in Pow
 
 er BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azur
 </li>
 <li>
 e ML.Strong understandin
 
 g of Power BI archite
 
 cture, DAX, Power Query, and data modeling best pract
 </li>
 <li>
 ices.Familiarity
 
 with Azure AI Serv
 
 ices (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Powe
 </li>
 <li>
 r BI.Experience
 
 with P
 
 ython and basic ML frameworks (e.g., scikit-learn) and model optimization in Powe
 </li>
 <li>
 r BI.Understandin
 
 g of natural language processing
 
 (NLP) and its application in business reporting is a
 </li>
 <li>
 plus.Hands-on experience
 
 with Azure Machine Learning, Databri
 
 ck
 
 s, or Synapse Anal
 
 ytics is beneficial &ndash; focus on data preparation pipelines that feed into Powe
 </li>
 <li>
 r BI.Comfortable workin
 
 g in Agile environ
 
 ments using tools like Azure De
 </li>
 <li>
 vOps.Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a
 </li>
 <li>
 plus.Strong analytical thinking, communication, and stakeholder collaboration sk
 </li>
 </ul>
 
 
 
 
 
 ills.
 
 ABOUT YOUR NE
 
 
 
 
 
 
 W 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 &ndash; for us and for you &ndash; when we O
 
 
 
 
 
 
 PEN UP.
 
 AT COCA-COLA HBC, DIVERSITY HELPS U
 
 
 
 
 
 
 S THRIVE
 
 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>

AI Developer

QuantumBlack, AI by McKinsey

<div>
 
 Who You'll Work With
 
 
 
 Driving lasting impact and building long-term capabilities with our clients is not easy work. You are the kind of person who thrives in a high performance/high reward culture - doing hard things, picking yourself up when you stumble, and having the resilience to try another way forward.
 
 
 In return for your drive, determination, and curiosity, we'll provide the resources, mentorship, and opportunities you need to become a stronger leader faster than you ever thought possible. Your colleagues&mdash;at all levels&mdash;will invest deeply in your development, just as much as they invest in delivering exceptional results for clients. Every day, you'll receive apprenticeship, coaching, and exposure that will accelerate your growth in ways you won&rsquo;t find anywhere else.
 
 
 When you join us, you will have:
 
 
 <ul>
 <li>
 Continuous learning: Our learning and apprenticeship culture, backed by structured programs, is all about helping you grow while creating an environment where feedback is clear, actionable, and focused on your development. The real magic happens when you take the input from others to heart and embrace the fast-paced learning experience, owning your journey.
 </li>
 <li>
 A voice that matters: From day one, we value your ideas and contributions. You&rsquo;ll make a tangible impact by offering innovative ideas and practical solutions. We not only encourage diverse perspectives, but they are critical in driving us toward the best possible outcomes.
 </li>
 <li>
 Global community: With colleagues across 65+ countries and over 100 different nationalities, our firm&rsquo;s diversity fuels creativity and helps us come up with the best solutions for our clients. Plus, you&rsquo;ll have the opportunity to learn from exceptional colleagues with diverse backgrounds and experiences.
 </li>
 <li>
 World-class benefits: On top of a competitive salary (based on your location, experience, and skills), we provide a comprehensive benefits package to enable holistic well-being for you and your family.
 
 
 </li>
 </ul>
 
 Your Impact
 
 
 
 You will use data creatively to solve business challenges, often uncovering new and transformative opportunities along the way.
 
 
 In this role, you will focus on the development of advanced analytics models to optimize underlying business problems. You will apply state-of-the-art advanced analytics, quantitative tools and modeling techniques to interpret, make inferences and offer recommendations based on insights from the data. You will shape the future of what data-driven organizations look like, drive processes for extracting and using that data in creative ways and create new lines of thinking within an infinite number of clients and situations.
 
 
 You will create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data. You will apply and advise on state-of-the-art advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex business problems and improve decisions. You will review, support and advise on the day-to-day analytics requirements of clients&rsquo; key operational processes while continually improving the impact of these processes.
 
 
 You will be based in our Cairo office as part of our QuantumBlack, AI by McKinsey team, partnering with consultants, clients, and other colleagues.
 
 
 Our QuantumBlack, AI by McKinsey team brings the latest analytical techniques plus a deep understanding of industry dynamics and corporate functions to help clients create the most value from data.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Undergraduate degree in mathematics, statistics, physics, engineering; master's degree is a plus
 </li>
 <li>
 3+ years of professional experience in programming; experience applied to business problems is a plus
 </li>
 <li>
 Experience in programming (focus on machine learning) in Python; knowledge in SPSS, SAS, Ruby, Hadoop is a plus
 </li>
 <li>
 Experience in data treatment/data mining: SQL, AWK, Access, Spark, Excel
 </li>
 <li>
 Demonstrated aptitude for analytics; statistical knowledge is a plus
 </li>
 <li>
 Proven record of leadership in a work setting and/or through extracurricular activities
 </li>
 <li>
 Ability to work collaboratively in a team environment and effectively with people at all levels in an organization
 </li>
 <li>
 Ability to communicate complex ideas effectively, both verbally and in writing, in English; fluency in local office language(s) is a plus
 </li>
 </ul>
</div>

Data Scientist - QuantumBlack, AI by McKinsey

<div>
 
 We are looking for a highly skilled Data Engineer with significant technical skills in Azure and business acumen to join our team in Coca-Cola Hellenic Digital &amp; Technology Platform Services (DTPS) and be part of the Analytics Products Engineering team. You will have the opportunity to contribute to the strategy, design and development of our Analytics use cases, providing insights and supporting decision making for end users. The role involves significant collaboration with business and IT teams, and an opportunity to integrate &amp; transform data from various systems into structures that are suitable for building analytical solutions, by developing efficient Azure-based data pipelines.
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 <ul>
 <li>
 Collaborate with CCH architects across different IT (DTPS) teams and with cross-functional teams to gather requirements, define technical specifications, and provide architectural guidance for Azure projects. Contribute and align on the strategy, design and implementation of the end2end data journey to expose analytics insights for consumption by different reporting layers;
 </li>
 <li>
 Ability to load data from Azure Data Sources (Azure SQL Databricks Warehouse/Synapse), visualize data, setup data refresh, analyze and write queries in SQL;
 </li>
 <li>
 Develop and implement data governance and data quality frameworks to ensure the integrity and accuracy of data;
 </li>
 <li>
 Design, develop, implement and optimize data pipelines for scalability, performance, security and cost efficiency. Optimize data storage, retrieval, and processing techniques to achieve high performance and cost efficiency;
 </li>
 <li>
 Implement security and access control measures to protect sensitive data within Azure environments;
 </li>
 <li>
 Perform data profiling, analysis, and validation to identify and address data quality issues.
 </li>
 <li>
 Develop and maintain documentation for data solutions, including data models, data flows, and technical specifications;
 </li>
 <li>
 Stay up to date with the latest Azure data services, tools, and best practices, and provide recommendations for their adoption;
 </li>
 <li>
 Lead and guide Azure developers and data engineers from vendors, providing guidance and support in Azure data engineering techniques and methodologies and ensuring development as per CCH standards and guidelines;
 </li>
 <li>
 Ability to understand business requirements and convert into clearly documented technical requirements (dimensions, KBIs, data structure, data granularity, target users), following the agreed guidelines, standards and rules;
 </li>
 <li>
 Collaborate with DevOps teams to implement continuous integration and delivery pipelines for Azure-based applications;
 </li>
 <li>
 Collaborate with and support PowerBI developers to test different approaches for data connections and data transfers to Power BI, to identify the optimal approach per use case considering data volume, Power BI performance, as well as data quality and security considerations.
 </li>
 </ul>
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 <ul>
 <li>
 Deep hands-on experience with MS Azure Data Factory, MS Azure Data Lake Storage, SQL Database (T-SQL), Azure Databricks, Proficiency in SQL and data manipulation languages for data extraction, transformation, and loading.
 </li>
 <li>
 3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms
 </li>
 <li>
 Deep hands-on experience in Python; pyspark
 </li>
 <li>
 Experience with data visualization tools and techniques for creating meaningful data insights (e.g., Power BI, PowerApps) is appreciated;
 </li>
 <li>
 Experience with Data Science techniques, such as feature engineering and modeling is appreciated;
 </li>
 <li>
 Experience in performance optimization techniques in Azure technologies for PowerBI reporting consumption is a plus;
 </li>
 <li>
 Experience with big data architectures and large data volumes technologies (partitioned tables with billions of records, files with hundreds of GBs). Familiarity with big data technologies such as Hadoop, Spark, and Hive;
 </li>
 <li>
 Strong hands-on understanding of DevSecOps concepts and tools. Expertise in practical implementation of DevSecOps, in particular Azure DevOps toolkit and automated testing capabilities;
 </li>
 <li>
 Strong understanding of DevOps principles and experience with CI/CD pipelines, version control systems (e.g. Git), and automated deployment tools;
 </li>
 <li>
 Design and implement data pipelines and ETL processes, ensuring data quality and availability for machine learning models, while possessing a foundational understanding of machine learning concepts and techniques.
 </li>
 <li>
 Develop and maintain scalable machine learning pipelines and infrastructure, ensuring seamless integration and deployment of models in production environments (MLOps).
 </li>
 <li>
 Bachelor's degree in Computer Science, Engineering, or a related field (or equivalent practical experience);
 </li>
 <li>
 Knowledge of SAP BW (extractors, transformations, queries, data export) would be appreciated.
 </li>
 <li>
 Understanding of Agile methodology and SAFe Agile is appreciated;
 </li>
 <li>
 Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams, stakeholders and vendors;
 </li>
 <li>
 Azure certification, such as Azure Data Engineer Associate, is a plus.
 </li>
 </ul>
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 
 
 
 We are a family of 33 thousand engaged people. Each and every one of us is the secret ingredient of Coca-Cola HBC - one of the world&rsquo;s largest bottlers and partner of The Coca-Cola Company. Our every day mission is to delight over 715 million consumers by offering a choice of over 100 iconic global and favorite local brands in the moments that matter, 24 hours a day, 7 days a week. We are a truly empowered and talented team that drives superior results by winning and learning every day in 29 countries, across 3 continents. Our success comes from us working together as one to make a positive difference for the local communities we serve.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US THRIVE
 
 
 
 
 
 
 Including and celebrating different people and opinions is embedded in our growth story. We are committed to fostering diverse teams that reflect the communities we serve, and to creating an inclusive environment where everyone&rsquo;s unique perspectives are valued and heard. By constantly building a diverse and inclusive workplace, we enrich our decision-making and provide ever more innovative solutions and shared value
 
</div>

Data Engineer

Homzmart

<div>
 
 Company Description
 
 
 
 
 Homzmart
 
 is an end to end community that connects home professionals with homeowners who can browse home designs, furniture, accessories and products and also can find reviews, referring professionals, take advice from professionals and read articles about home improvement.
 
 
 
 Job Description
 
 
 
 
 The Performance &amp; Analytics Manager plays a key role in leading Homzmart&rsquo;s data-driven performance management and forecasting initiatives. The role oversees the full analytics lifecycle &mdash; from data strategy and KPI alignment to predictive modeling and performance optimization &mdash; ensuring that every decision across the business is backed by accurate, actionable insights.
 
 
 
 
 Key Responsibilities
 
 
 
 
 Data Strategy &amp; Governance
 
 
 
 <ul>
 <li>
 Own and continuously enhance Homzmart&rsquo;s analytics framework, ensuring a single source of truth for all business KPIs.
 </li>
 <li>
 Define, document, and standardize metric definitions across commercial, marketing, and operations functions.
 </li>
 <li>
 Drive the integrity and consistency of all data sources and dashboards used for business reviews and decision-making.
 
 
 </li>
 </ul>
 
 Business Performance Analytics
 
 
 
 <ul>
 <li>
 Partner with senior leadership to monitor and analyze company performance across GMV, Items, AOV, and operational efficiency.
 </li>
 <li>
 Deliver daily, weekly, and monthly performance reporting packs with actionable insights and trend analysis.
 </li>
 <li>
 Conduct post-campaign, regional, and category performance reviews to identify growth opportunities and operational gaps.
 </li>
 <li>
 Translate analytical findings into clear business narratives to support strategic planning.
 
 
 </li>
 </ul>
 
 Forecasting &amp; Predictive Modeling
 
 
 
 <ul>
 <li>
 Lead the development of Homzmart&rsquo;s forecasting models to project GMV, item sales, and marketing-driven outcomes.
 </li>
 <li>
 Build machine learning models integrating seasonality, pricing, discounting, and external market factors such as currency and inflation.
 </li>
 <li>
 Develop scenario-based forecasting tools to simulate business performance under different budget or campaign settings.
 
 
 </li>
 </ul>
 
 Cross-Functional Collaboration
 
 
 
 <ul>
 <li>
 Work closely with product, sales, and technology teams to align marketing efforts with overall business objectives.
 </li>
 <li>
 Communicate performance insights and recommendations effectively to all relevant stakeholders.
 </li>
 <li>
 Build and maintain analytics frameworks that monitor production performance, warehouse capacity, and SLA achievement.
 </li>
 <li>
 Deliver actionable insights to improve operational planning, reduce bottlenecks, and optimize fulfillment efficiency.
 
 
 </li>
 </ul>
 
 Automation &amp; Tooling
 
 
 
 <ul>
 <li>
 Automate recurring reports and streamline manual workflows using Python, SQL, and BI tools.
 </li>
 <li>
 Ensure that all analytics outputs are scalable, well-documented, and aligned with Homzmart&rsquo;s data standards.
 
 
 </li>
 </ul>
 
 Leadership &amp; Stakeholder Enablement
 
 
 
 <ul>
 <li>
 Mentor junior analysts and upskill cross-functional teams on data literacy and analytical best practices.
 </li>
 <li>
 Act as a bridge between business and technical teams, ensuring alignment on data priorities and performance goals.
 </li>
 <li>
 Foster a proactive, insight-driven culture across the organization.
 
 
 </li>
 </ul>
 
 Key Achievements in Role
 
 
 
 <ul>
 <li>
 Built Homzmart&rsquo;s machine learning forecasting engine for GMV and SKU-level projections.
 </li>
 <li>
 Unified KPI definitions and automated performance dashboards across commercial and marketing teams.
 </li>
 <li>
 Introduced new analytical frameworks for production, fulfillment, and campaign evaluation.
 </li>
 <li>
 Supported strategic planning with predictive insights linking business targets to marketing and operational outcomes.
 
 
 </li>
 </ul>
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Economics, Statistics, Data Science, or related field.
 </li>
 <li>
 4&ndash;6 years of experience in Analytics, Business Intelligence, or Performance Management, preferably in e-commerce or digital business.
 </li>
 <li>
 Strong command of:
 </li>
 <ul>
 <li>
 SQL (data modeling, query optimization)
 </li>
 <li>
 Business Intelligence tools (e.g., Amazon QuickSight, Google Looker Studio, or similar)
 </li>
 <li>
 Excel / Google Sheets (analytical modeling and automation)
 </li>
 </ul>
 <li>
 Solid business understanding of e-commerce KPIs, growth levers, and performance tracking.
 </li>
 <li>
 Excellent communication and data storytelling skills.
 </li>
 <li>
 Proven track record of driving significant improvements in marketing performance and ROI.
 </li>
 <li>
 Strong analytical skills with proficiency in data analysis tools (e.g., Excel, SQL, Google Analytics, Adjust).
 </li>
 <li>
 Experience with A/B testing and conversion rate optimization (CRO) methodologies.
 </li>
 <li>
 Excellent communication and presentation skills, with the ability to translate complex data into clear, actionable insights.
 </li>
 <li>
 Ability to work independently and as part of a team in a fast-paced environment.
 
 
 </li>
 </ul>
 Additional Information
 
 
 
 Preferred Skills
 
 
 
 <ul>
 <li>
 Advanced Python proficiency for data modeling, feature engineering, and automation (Pandas, Polars, Streamlit, ML frameworks)
 </li>
 <li>
 Experience with predictive modeling and demand forecasting using machine learning.
 </li>
 <li>
 Familiarity with data visualization design and dashboard scalability.
 </li>
 <li>
 Strong business acumen with the ability to translate analytics into strategic recommendations.
 
 
 </li>
 </ul>
 
 Success Indicators
 
 
 
 <ul>
 <li>
 Company KPIs fully standardized and aligned across all departments.
 </li>
 <li>
 Automated reporting ecosystem with minimal manual intervention.
 </li>
 <li>
 Forecasting accuracy continuously improves across business cycles.
 </li>
 <li>
 Data-driven culture embedded in decision-making across teams.
 </li>
 </ul>
</div>

Performance & Analytics Manager

Explore 248+ Machine learning engineer in Cairo this November. Find roles across top companies and apply now to boost your career.