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data governance analyst - banking sector Jobs in Cairo

data governance analyst - banking sector

data scientist

data engineer

Coca-Cola HBC

<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>
 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>
 3+ years of experience in data engineering, data science or related field, with a focus on Azure data platforms;
 </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

FreePL

<div>
 At FreePL, you will be an integral part of a small team that is currently on a mission to build something big from the ground up. You will need to be comfortable with ambiguity and fast pace, have an entrepreneurial mindset, a can-do attitude and will be expected to take ownership of your work and be comfortable making decisions and solving problems independently.
 
 
 As part of a quickly growing team, you will have the opportunity to shape the future of FreePL and make a real impact. You will work closely with the founding team to develop and implement strategies for growth and success. If you are self-motivated, results-driven, and have a passion for delivering excellence, this is your chance to not only join us in our launch phase but to grow into a leader at FreePL.
 
 
 
 What We Look For
 
 
 
 We are looking for a talented Data Engineer to join our team and contribute to building efficient, scalable, and reliable data infrastructure to drive our data-driven decision-making processes.
 
 
 
 Responsabilities
 
 
 
 <ul>
 <li>
 Design, build, and maintain efficient and scalable data pipelines using Python and other modern tools.
 </li>
 <li>
 Collaborate with cross-functional teams to understand data requirements and deliver robust solutions.
 </li>
 <li>
 Develop and optimize ETL/ELT processes to extract, transform, and load data from multiple sources.
 </li>
 <li>
 Manage, monitor, and improve database systems to ensure high performance and availability.
 </li>
 <li>
 Implement and maintain data models and architecture to support analytics and machine learning workflows.
 </li>
 <li>
 Ensure data security, privacy, and compliance with relevant regulations.
 </li>
 <li>
 Perform root cause analysis for data-related issues and propose solutions.
 </li>
 <li>
 Stay updated on the latest technologies, frameworks, and industry
 
 
 </li>
 </ul>
 
 Qualifications &amp; Work Experience
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Engineering, or a related field.
 </li>
 <li>
 3+ years of experience as a Data Engineer or in a similar role.
 </li>
 <li>
 Proficiency in Python with a strong understanding of libraries like Pandas, NumPy, and PySpark.
 </li>
 <li>
 Hands-on experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
 </li>
 <li>
 Strong knowledge of data integration tools and frameworks (e.g., Apache Airflow, Apache Kafka, etc.).
 </li>
 <li>
 Experience with Azure cloud platforms and managing cloud-based data pipelines.
 </li>
 <li>
 Familiarity with big data technologies such as Hadoop, Spark, or Snowflake is a plus.
 </li>
 <li>
 Solid understanding of data warehousing concepts and tools (e.g., Redshift, BigQuery).
 </li>
 <li>
 Knowledge of containerization (e.g., Docker) and orchestration tools (e.g., Kubernetes) is an advantage.
 </li>
 <li>
 Excellent problem-solving and communication skills.
 </li>
 <li>
 Experience in the logistics or supply chain domain.
 </li>
 <li>
 Familiarity with real-time data streaming and processing.
 </li>
 <li>
 Knowledge of data governance, quality frameworks, and best practices.
 </li>
 </ul>
</div>

Halan - حالا

<div>
 
 
 Job Overview:
 
 
 
 
 
 
 
 We are seeking a talented and motivated Senior Data Engineer with expertise in Scala and Python to join our data engineering team. This individual will play a key role in the design, development, and optimization of our data infrastructure and data pipelines. The ideal candidate has a passion for building scalable, high-performance systems and is eager to broaden their knowledge across the entire data engineering stack, from hardware infrastructure to project development.
 
 
 
 
 
 
 
 Key responsibilities:
 
 
 
 
 
 
 
 &bull; Collaborate with cross-functional teams to design, develop, and maintain data engineering solutions using Scala, Python, and Apache Spark.
 
 
 
 
 &bull; Implementation of new data engineering technologies, frameworks, and tools, such as HDFS, MongoDB, and PostgreSQL, to enhance performance, scalability, and efficiency.
 
 
 
 
 &bull; Understand and optimize hardware and resource consumption for data engineering projects.
 
 
 
 
 &bull; Develop a deep understanding of hardware infrastructure, including servers, clusters, and distributed systems, to ensure optimal data processing and storage.
 
 
 
 
 &bull; Design and architect high-performance, fault-tolerant, and scalable data pipelines.
 
 
 
 
 &bull; Conduct research and stay current with the latest advancements in data engineering, hardware technologies, and distributed computing paradigms.
 
 
 
 
 &bull; Mentor and guide junior team members, fostering a culture of continuous learning and skill development.
 
 
 
 
 &bull; Collaborate with stakeholders to gather requirements, propose technical solutions, and deliver high-quality data engineering projects.
 
 
 
 
 
 
 
 Requirements:
 
 
 
 
 
 
 
 &bull; 1-3 years of professional experience as a Software Engineer, with a focus on data engineering.
 
 
 
 
 &bull; Keen interest in hardware infrastructure, resource consumption optimization, and data engineering project development.
 
 
 
 
 &bull; Proven ability to work effectively in an Agile development environment and manage multiple priorities.
 
 
 
 
 &bull; Strong problem-solving, analytical thinking, communication, and collaboration skills.
 
 
 
 
 Technical Skills:
 
 
 
 
 &bull; Strong proficiency in Scala and Python IS A MUST, with hands-on experience in building robust and scalable applications.
 
 
 
 
 &bull; Solid understanding of data structures, algorithms, and OOP principles.
 
 
 
 
 &bull; Proficient with Apache Spark and familiar with HDFS, MongoDB, PostgreSQL, and other relevant data engineering technologies.
 
 
 
 
 &bull; Experience with relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
 
 
 
 
 
 
 
 Location:
 
 
 
 
 
 
 
 &bull; Giza
 
 
 
 
 
 
 
 About MNT-Halan
 
 
 
 
 
 
 
 Founded in 2018, Halan stands as Egypt&rsquo;s premier super app, revolutionizing access to financial services through cutting-edge technology. Serving millions, we offer transformative solutions that redefine convenience, seamlessness, and cost-effectiveness for individuals and aspiring businesses alike.
 
 
 
 
 https://www.linkedin.com/redir/redirect?url=https%3A%2F%2Fhalan%2Ecom%2F&amp;urlhash=GATE&amp;trk=about_website
 
 
 
 
 
</div>

Junior Data Engineer

DXC Technology

<div>
 
 Job Description
 
 
 
 
 Role Overview:
 
 
 
 We are seeking a highly skilled and collaborative Data Scientist to join the delivery team for a strategic Data &amp; AI implementation project. The ideal candidate will support the platform&rsquo;s advanced analytics use cases, including data exploration, statistical modeling, feature engineering, ML model development, and GenAI use case enablement. You will collaborate with data engineers, architects, BI developers, and business stakeholders to deliver actionable insights and intelligent solutions.
 
 
 
 Key Responsibilities
 
 
 
 
 🔹 Data Exploration &amp; Feature Engineering:
 
 
 
 <ul>
 <li>
 Explore, profile, and analyze structured, semi-structured, and unstructured data across more than 11 enterprise source systems (e.g., SAP, Oracle Fusion, JIRA, Primavera, etc.)
 </li>
 <li>
 Perform data cleansing, feature selection, and transformation activities across Bronze and Silver layers of the Lambda Data Lakehouse architecture
 
 
 </li>
 </ul>
 
 🔹 Advanced Analytics &amp; ML
 
 
 
 <ul>
 <li>
 Develop, train, and optimize supervised and unsupervised machine learning models to support use cases such as customer churn prediction, financial chatbot insights, and operational efficiency improvements
 </li>
 <li>
 Support integration and deployment of ML models into the data platform using tools like Google Cloud AI Platform, Python, Snowflake, and Power BI
 
 
 </li>
 </ul>
 
 🔹 GenAI Enablement
 
 
 
 <ul>
 <li>
 Collaborate on use cases involving Generative AI and Large Language Models (LLMs) using structured and unstructured datasets
 </li>
 <li>
 Work with data architects to ensure the Lakehouse architecture supports these models effectively
 
 
 </li>
 </ul>
 
 🔹 Collaboration &amp; Business Engagement
 
 
 
 <ul>
 <li>
 Participate in workshops and requirement-gathering sessions with customer&rsquo;s business and technical teams
 </li>
 <li>
 Translate business questions into data science problems, and present findings in actionable, business-friendly formats (dashboards, reports, presentations)
 
 
 </li>
 </ul>
 
 🔹 Quality, Testing &amp; Governance
 
 
 
 <ul>
 <li>
 Document assumptions, modeling approaches, and validations
 </li>
 <li>
 Participate in unit testing, QA, and UAT activities related to predictive analytics and AI models
 </li>
 <li>
 Ensure compliance with NDMO, PDPL, and customer&rsquo;s internal data governance policies
 
 
 </li>
 </ul>
 
 Required Skills And Experience
 
 
 
 <ul>
 <li>
 Strong experience in data science or machine learning roles on large-scale enterprise data projects
 </li>
 <li>
 Strong hands-on experience in:
 </li>
 <ul>
 <li>
 Python, Pandas, Scikit-learn, TensorFlow or PyTorch
 </li>
 <li>
 SQL (Snowflake or Google BigQuery preferred)
 </li>
 <li>
 Data wrangling and feature engineering
 </li>
 </ul>
 <li>
 Experience with ML lifecycle and MLOps tools on Google Cloud Platform (GCP)
 </li>
 <li>
 Familiarity with data versioning, CI/CD for ML, and monitoring ML pipelines
 </li>
 <li>
 Knowledge of APIs, data integration methods, and working with virtualized layers (e.g., Denodo)
 </li>
 <li>
 Exposure to BI visualization tools like Power BI
 </li>
 <li>
 Understanding of data privacy, security, and model fairness in regulated environments
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Google Cloud Certified Data Engineer / Machine Learning Engineer (preferred but not mandatory)
 </li>
 <li>
 Experience working in real estate or public sector is a plus
 </li>
 <li>
 Understanding of data cataloging, metadata, and lineage concepts using Informatica Cloud
 
 
 </li>
 </ul>
 
 Soft Skills
 
 
 
 <ul>
 <li>
 Strong analytical mindset and problem-solving skills
 </li>
 <li>
 Excellent communication and stakeholder engagement abilities
 </li>
 <li>
 Ability to work under pressure and deliver in fast-paced, multi-vendor environments
 
 
 </li>
 </ul>
 At DXC Technology, we believe strong connections and community are key to our success. Our work model prioritizes in-person collaboration while offering flexibility to support wellbeing, productivity, individual work styles, and life circumstances. We&rsquo;re committed to fostering an inclusive environment where everyone can thrive.
 
 
 Recruitment fraud is a scheme in which fictitious job opportunities are offered to job seekers typically through online services, such as false websites, or through unsolicited emails claiming to be from the company. These emails may request recipients to provide personal information or to make payments as part of their illegitimate recruiting process. DXC does not make offers of employment via social media networks and DXC never asks for any money or payments from applicants at any point in the recruitment process, nor ask a job seeker to purchase IT or other equipment on our behalf. More information on employment scams is available here
 
 .
 
</div>

Data Scientist

PwC Middle East

<div>
 
 Description
 
 
 
 At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation lies in building lasting relationships with our clients and a focus on delivering value in all we do. We&rsquo;re a network of firms in 158 countries with more than 236,000 people who are committed to delivering world-class capabilities and quality in assurance, tax and advisory services.
 
 
 Established in the region for 40 years, PwC Middle East employs over 4,200 people across 12 countries. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.
 
 
 
 Line of Service
 
 
 
 Advisory
 
 
 
 Industry/Sector
 
 
 
 Technology
 
 
 
 Specialism
 
 
 
 Advisory - Other
 
 
 
 Management Level
 
 
 
 Senior Associate
 
 
 
 Job Description &amp; Summary
 
 
 
 At PwC, our people in data and analytics focus on leveraging data to drive insights and make informed business decisions. They utilise advanced analytics techniques to help clients optimise their operations and achieve their strategic goals.
 
 
 
 Responsibilities
 
 
 
 In business intelligence at PwC, you will focus on leveraging data and analytics to provide strategic insights and drive informed decision-making for clients. You will develop and implement innovative solutions to optimise business performance and enhance competitive advantage.
 
 We are seeking a highly skilled and analytical
 
 Business Intelligence (BI) Engineer
 
 with strong expertise in
 
 Power BI
 
 to join our growing data team. The ideal candidate will be responsible for designing, developing, and maintaining scalable BI solutions that transform raw data into actionable insights to support strategic decision-making across the organization.
 
 
 
 Key Responsibilities:
 
 
 
 
 <ul>
 <li>
 Design, develop, and deploy interactive dashboards and reports using Power BI.
 </li>
 <li>
 Translate business needs into technical specifications and maintain robust BI solutions.
 </li>
 <li>
 Integrate data from multiple sources (e.g., SQL databases, APIs, Excel, cloud platforms).
 </li>
 <li>
 Develop and optimize DAX queries and data models for performance and usability.
 </li>
 <li>
 Collaborate with business stakeholders to understand reporting requirements.
 </li>
 <li>
 Implement and maintain data security and governance standards within Power BI.
 </li>
 <li>
 Monitor BI tools performance and troubleshoot technical issues as needed.
 </li>
 <li>
 Work closely with data engineers, analysts, and product teams to ensure data quality and integrity.
 </li>
 <li>
 Provide training and documentation for end-users and stakeholders on Power BI usage.
 
 
 </li>
 </ul>
 
 Required
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Systems, Statistics, or a related field.
 </li>
 <li>
 1-3 years of experience in a BI Engineer, Data Analyst, or similar role.
 </li>
 <li>
 Strong proficiency in Power BI, including DAX, Power Query (M), and data modeling.
 </li>
 <li>
 Hands-on experience with SQL and relational databases, and Python or R for data analysis.
 </li>
 <li>
 Familiarity with ETL processes and data warehousing concepts.
 </li>
 <li>
 Excellent problem-solving skills and attention to detail.
 </li>
 <li>
 Strong communication skills to present insights to both technical and non-technical audiences.
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Experience with Azure Data Services (e.g., Azure SQL, Data Factory).
 </li>
 <li>
 Exposure to other BI tools (e.g., Tableau, Looker) is a plus.
 </li>
 <li>
 Microsoft certifications (e.g., PL-300: Power BI Data Analyst) are a bonus.
 
 
 </li>
 </ul>
 
 Education
 
 
 (if blank, degree and/or field of study not specified)
 
 
 
 Degrees/Field of Study required:Degrees/Field of Study preferred:
 
 
 
 Certifications
 
 
 (if blank, certifications not specified)
 
 
 
 
 Required Skills
 
 
 
 
 Optional Skills
 
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Analytical Thinking, Business Case Development, Business Data Analytics, Business Intelligence and Reporting Tools (BIRT), Business Intelligence Development Studio, Communication, Competitive Advantage, Continuous Process Improvement, Creativity, Data Analysis and Interpretation, Data Architecture, Database Management System (DBMS), Data Collection, Data Pipeline, Data Quality, Data Science, Data Visualization, Embracing Change, Emotional Regulation, Empathy, Inclusion, Industry Trend Analysis {+ 16 more}
 
 
 
 Desired Languages
 
 
 (If blank, desired languages not specified)
 
 
 
 
 Travel Requirements
 
 
 
 Not Specified
 
 
 
 Available for Work Visa Sponsorship?
 
 
 
 Yes
 
 
 
 Government Clearance Required?
 
 
 
 Yes
 
 
 
 Job Posting End Date
 
</div>

ETIC, BI Engineer Senior Associate

Norconsult Telematics

<div>
 
 Data Scientist (Arabic)
 
 
 
 
 
 Location:(Riyadh, Saudi Arabia) Arabic Speakers require
 
 d
 
 
 
 
 
 
 
 Position Objective
 
 s
 
 
 Develop advanced predictive and taxonomic models to drive data-driven insights for business and analytical applications.
 
 
 Leverage Python and machine learning tools to analyse data, extract valuable indicators, and provide actionable recommendations to support strategic decision-making
 
 .
 
 
 
 
 
 
 
 Job Description &amp; Responsibilit
 
 ies
 
 <ul>
 <li>
 3-5 years in developing predictive and taxonomic models using Python to address business challenges.
 </li>
 <li>
 Utilise machine learning libraries like Scikit-learn and Pandas for data analysis and modelling.
 </li>
 <li>
 Interpret and analyse complex datasets to extract meaningful indicators and trends.
 </li>
 <li>
 Make data-driven recommendations based on advanced analytics to guide business decisions.
 </li>
 <li>
 Collaborate with stakeholders to understand business needs and translate them into analytical solutions.
 </li>
 <li>
 Optimise models for accuracy, scalability, and performance in production environments.
 </li>
 <li>
 Document modelling processes, findings, and recommendations for transparency and collaboration.
 </li>
 </ul>
 
 
 
 
 
 Qualifications &amp; Experi
 
 ence
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Data Science, Computer Science, Statistics, or a related field; a Master&rsquo;s degree is a plus.
 </li>
 <li>
 Python Modelling Expertise (Mandatory): 3&ndash;5 years of experience developing predictive and taxonomic models using Python.
 </li>
 <li>
 Machine Learning Proficiency (Mandatory): Hands-on expertise with Scikit-learn, Pandas, and other machine learning libraries for data analysis and modelling.
 </li>
 <li>
 Advanced Analytics and Recommendations (Mandatory): Proven ability to perform advanced analytics and deliver actionable recommendations based on data insights.
 </li>
 <li>
 Strong skills in interpreting and analysing complex datasets to extract valuable indicators.
 </li>
 <li>
 Excellent problem-solving, collaboration, and communication skills, with fluency in written and spoken English.
 </li>
 <li>
 Familiarity with additional tools (e.g., TensorFlow, PyTorch) or cloud platforms (e.g., AWS, Azure) is a plus.
 </li>
 <li>
 Passion for leveraging data science to drive innovative solutions in a dynamic environment.
 </li>
 </ul>
 
 Exp Range 3-5 years to max 7 to 8.
 
</div>

Data Scientist (ARABIC SPEAKER)

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>

Explore 665+ Data engineer in Cairo this September. Find roles across top companies and apply now to boost your career.

665 data engineer jobs IN Cairo

Data Engineer

Data Engineer

Junior Data Engineer

Data Scientist

ETIC, BI Engineer Senior Associate

Data Scientist (ARABIC SPEAKER)

Data Scientist