data analyst

data engineer (m/w/d)

data scientist

backend engineer

business analytics analyst

bi data engineer

onebank (formerly MDI)

<div>
 
 
 Who we are?
 
 
 
 - onebank was established in 2020 as the company responsible for launching the 1st digital native bank in Egypt. The digital bank aims to create innovative solutions tailored to serve the needs of the banking customers in Egypt.
 
 
 -Our main goal is to create a positive customer experience through the differentiated journey that our customers live while using the digital bank.
 
 
 -Our Drive: We use our drive and commitment to energies, engage and inspire others, upholding the highest standards of work ethic, honesty and morality.
 
 
 
 
 
 
 
 JOB PURPOSE
 
 
 
 
 The ideal candidate will assist in designing, developing, and maintaining reports and dashboards that help stakeholders make data-driven decisions. You will work closely with senior developers, analysts, and business users to transform raw data into meaningful insights.
 
 
 
 
 
 
 Job Duties &amp; Responsibilities
 
 
 
 
 
 -Strong understanding of
 
 SQL
 
 and relational databases (e.g., Impala, Hive).
 
 
 -Experience or coursework in
 
 BI/reporting tools
 
 (Tableau, Power BI).
 
 
 -Basic knowledge of
 
 data modeling
 
 ,
 
 ETL processes
 
 , and
 
 data warehousing concepts
 
 .
 
 
 -Proficiency in
 
 Excel
 
 and basic data analysis.
 
 
 -Strong analytical and problem-solving abilities.
 
 
 -Attention to detail and commitment to data quality
 
 
 
 
 
 
 MINIMUM QUALIFICATIONS/EDUCATION/EXPERIENCE
 
 
 
 
 -Bachelor&rsquo;s degree in
 
 Computer Science, Information Systems, Data Analytics, Statistics
 
 , or a related field.
 
 
 -Minimum 1-3 years of experience.
 
</div>

BI Data Engineer

PwC Middle East

<div>
 
 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

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>
 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

<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

Qara Digital Solutions

<div>
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Dashboard Development
 </li>
 <li>
 Design, develop, and maintain interactive dashboards and visualizations using Power BI to support strategic and Product decisions.
 </li>
 <li>
 Data Analytics &amp; Modeling
 </li>
 <li>
 Analyze large datasets to uncover trends, patterns, and insights
 </li>
 <li>
 Develop and optimize data models using dimensional modeling techniques to support analytics-driven decision-making.
 </li>
 <li>
 Digital Transformation
 </li>
 <li>
 Collaborate with business stakeholders to identify and implement data-driven solutions that improve efficiency and performance.
 </li>
 <li>
 Project Management
 </li>
 <li>
 Support the end-to-end data project lifecycle including requirements gathering, testing, deployment, and ongoing improvements.
 
 
 </li>
 </ul>
 
 Qualifications&amp; Requirements
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Statistics, Computer Science, Data Science, or a related field.
 </li>
 <li>
 Strong proficiency in Power BI and Excel.
 </li>
 <li>
 Solid knowledge of SQL and dimensional data modeling.
 </li>
 <li>
 Experience with Python for analytics, automation, and data manipulation.
 </li>
 <li>
 Strong foundation in statistical analysis, forecasting, and predictive modeling.
 </li>
 <li>
 Excellent analytical thinking, problem-solving, and attention to detail.
 </li>
 <li>
 Strong communication skills with the ability to present data findings clearly to both technical and non-technical stakeholders.
 </li>
 </ul>
</div>

Data Analyst

LIPS Healthcare

<div>
 
 
 Job Description
 
 
 <ul>
 <li>
 Utilizing automated tools to gather data from various sources, ensuring accuracy
 </li>
 <li>
 Removing corrupted data and resolving coding errors.
 </li>
 <li>
 Employing statistical tools to identify patterns and trends within complex datasets, aiding in diagnosis and predictive analytics.
 </li>
 <li>
 Developing interactive dashboards and comprehensive reports using tools like Power BI and other business intelligence tools to provide stakeholders with real-time insights into
 </li>
 <li>
 Working closely with programmers, engineers, and management to identify opportunities for process enhancements and propose system modifications. *
 </li>
 <li>
 Implementing data-driven decision support systems to facilitate performance monitoring and management
 </li>
 </ul>
 
 
 
 
 
 Job Requirements
 
 
 <ul>
 <li>
 Minimum
 
 2 years
 
 in a data analytics role, preferably in healthcare or a related field.
 </li>
 <li>
 Strong proficiency in
 
 Power BI
 
 and
 
 Excel
 
 for data visualization and dashboard creation.
 </li>
 <li>
 Hands-on experience with
 
 SQL
 
 for data extraction, transformation, and management.
 </li>
 <li>
 
 expertise in M language for Power Query
 
 to the required skills.
 </li>
 <li>
 
 Fluent English
 
 (spoken &amp; written)
 </li>
 </ul>
 
 
 Preferred Qualifications:
 
 
 <ul>
 <li>
 
 Python
 
 experience for data automation, machine learning, or predictive analytics.
 </li>
 <li>
 Understanding of
 
 healthcare data structures medical analytics
 
 .
 </li>
 <li>
 
 modeling, AI tools, or automation techniques
 
 is a plus.
 </li>
 <li>
 
 Cloud &amp; Data Warehousing:
 
 Experience with
 
 Azure, AWS, or Google Cloud
 
 for data storage and processing.
 </li>
 </ul>
 
 
</div>

Luciq

<div>
 We are looking for a goal-oriented and technically brilliant Data Analyst to join our GTM Operations team. You will be the key link between our complex data systems and our Go-To-Market strategy, providing the insights that help our Sales, Marketing, and Leadership teams make smarter, faster decisions. If you have a passion for data visualization, a knack for modeling, and the business sense to know what matters, this is your role.
 
 
 What You'll Do
 
 
 <ul>
 <li>
 Be the Insight Engine: Proactively analyze our diverse data to uncover trends, correlations, and opportunities that others might miss. Tell the story behind the numbers to influence our GTM strategy.
 </li>
 <li>
 Build the Foundation: Design, build, and maintain clean, reliable, and performant dashboards and reports in Looker that become the single source of truth for the entire company.
 </li>
 <li>
 Power Our Growth: Help build and refine sophisticated marketing attribution and sales forecasting models to directly measure and improve the effectiveness of our revenue teams.
 </li>
 <li>
 Champion Data Integrity: Establish standardized definitions for key metrics (like "active users" and "enterprise acquisition") to ensure clarity and consistency across all teams.
 </li>
 <li>
 Drive Efficiency: Identify and fix slow queries and data pipeline bottlenecks, working to streamline how we access and use our data.
 </li>
 <li>
 Support Key Initiatives: Collaborate on building financial models for critical, high-impact projects like pricing strategy.
 
 
 </li>
 </ul>
 What We're Looking For
 
 
 <ul>
 <li>
 A bachelor&rsquo;s degree in Data Analytics, Statistics, Business, or a related quantitative field.
 </li>
 <li>
 3+ years of professional experience in a Data Analyst, BI Analyst, or similar role.
 </li>
 <li>
 You are a SQL expert: You can write complex, optimized queries in your sleep.
 </li>
 <li>
 You are a visualization pro: You have advanced experience with Looker (or similar BI tools like Tableau, Power BI) and know how to make data intuitive and actionable.
 </li>
 <li>
 You have foundational data warehousing knowledge: Hands-on experience with Redshift, BigQuery, or Snowflake, and familiarity with ETL tools like Fivetran.
 </li>
 <li>
 You're a business-minded technologist: You don't just report the data; you understand what it means for the business and can make strategic recommendations.
 </li>
 <li>
 You're a brilliant communicator: You can effectively partner with and present to stakeholders from technical teams to company executives.
 
 
 </li>
 </ul>
 
 Bonus Points If You Have
 
 
 
 <ul>
 <li>
 Experience in a B2B SaaS environment.
 </li>
 <li>
 A background in Marketing, Product, or Sales operations.
 </li>
 <li>
 Experience with Python or R for statistical analysis.
 </li>
 </ul>
</div>

Data Analytics

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532 bi data engineer jobs IN Cairo

BI Data Engineer

ETIC, BI Engineer Senior Associate

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