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analytics engineer

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>
 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

Beyond Menu

<div>
 At BeyondMenu, we empower local restaurants to thrive through digital hospitality. Our all-in-one online ordering solution is purpose-built for independent restaurant owners, helping them grow their business with simple, effective tools for online and in-person service.
 
 
 We are profitable, rapidly growing, and backed by Bregal Sagemount&mdash;one of the most successful private equity firms in the world. As part of their portfolio, we&rsquo;re scaling fast with a focus on results, accountability, and long-term success.
 
 
 If you&rsquo;re looking to join a high-performance team and help build the future of restaurant tech, we want to hear from you
 
 
 We&rsquo;re looking for a Marketing Data Engineer who loves building reliable data systems as much as exploring the &ldquo;why&rdquo; behind the numbers. You&rsquo;ll sit at the intersection of data engineering, marketing analytics, and go-to-market strategy &mdash; helping connect marketing, sales, and product data to unlock insights and power personalized customer experiences.
 
 
 This role is ideal for someone who can write scalable data pipelines and enjoys partnering with cross-functional teams to translate data into decisions.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Marketing Data Infrastructure
 </li>
 <li>
 Build and maintain integrations between Meta, Google Ads, Iterable, and SMS platforms and our cloud data warehouse
 </li>
 <li>
 Design segmentation pipelines and event-driven triggers that orchestrate marketing campaigns and customer journeys
 </li>
 <li>
 Ensure high data quality and observability across marketing activation systems
 </li>
 <li>
 Sales &amp; Revenue Data Pipelines
 </li>
 <li>
 Integrate multiple sources (CRM, call platforms, marketing automation, product usage) to create unified go-to-market performance metrics and dashboards
 </li>
 <li>
 Manage pipelines that process unstructured data (sales calls, webscraped data) using generative AI to produce structured insights, summaries, and performance feedback for revenue teams
 </li>
 <li>
 Product &amp; Customer Experience Data
 </li>
 <li>
 Build data flows that push insights and custom datasets into our product &mdash; powering features like dynamic menus, AI-driven recommendations, and personalized push notifications
 </li>
 <li>
 Collaborate with product managers and engineers to ensure real-time data supports key customer experiences
 </li>
 <li>
 Insights &amp; Analysis
 </li>
 <li>
 Conduct ad-hoc and automated analysis to uncover trends, patterns, and opportunities in marketing and sales performance
 </li>
 <li>
 Partner with marketing and sales leadership to design and execute experiments, tests, and causal analyses that measure the impact of campaigns, content, and channels
 </li>
 <li>
 Act as a bridge between data and business &mdash; helping non-technical stakeholders understand data in clear, actionable ways
 
 
 
 
 
 </li>
 </ul>
 
 What You Need:
 
 
 
 <ul>
 <li>
 3+ years of experience in data engineering, analytics, or marketing technology
 </li>
 <li>
 Proficiency in SQL and Python
 </li>
 <li>
 Proven experience developing scalable data pipelines for ingesting and synchronizing high-volume data through third-party APIs
 </li>
 <li>
 Experience with modern data stacks (e.g., Databricks, dbt, Airflow, Fivetran, Snowflake, or similar)
 </li>
 <li>
 Hands-on experience integrating APIs for ad platforms, marketing automation, or CRM systems
 </li>
 <li>
 Familiarity with AI and NLP pipelines is a strong plus
 </li>
 <li>
 Strong communication skills &mdash; able to explain complex systems and insights to marketing and sales leaders
 </li>
 <li>
 Business-level English speaking and writing skills
 </li>
 <li>
 Ability to work during US Eastern business hours.
 </li>
 <li>
 Curiosity, initiative, and a desire to understand how marketing and sales activities translate into business outcomes
 
 
 
 
 </li>
 </ul>
</div>

Marketing 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

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 5268
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking for a Data Engineer who will empower sonnen&rsquo;s business with data-driven insights, services and products with the help of sonnen&rsquo;s AWS-based analytics platform and by provisioning data from various sources from within and outside the company.
 
 
 We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 You develop and maintain data analysis processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You collaborate with the business SMEs and stakeholders to understand their data requirements and support their analysis and modeling needs.
 </li>
 <li>
 You adhere to stringent quality assurance and documentation standards using version control and code repositories (e.g., Gitlab).
 </li>
 <li>
 You stay up-to-date with emerging trends and technologies in data engineering, and assess their potential applications to our business needs.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 You hold a bachelor&rsquo;s degree in Computer Science or a related technical field
 </li>
 <li>
 You have 3+ years of relevant employment experience (Data Scientist, Engineer or Architect)
 </li>
 <li>
 You have experience with data architecture and warehousing solutions (e.g. AWS Redshift, Databricks)
 </li>
 <li>
 You continue to enhance the existing platform, creating the technical foundation for scalable processes. Both data and result quality are important to you.
 </li>
 <li>
 You have good knowledge of Python, Pandas, SQL, NoSQL, RestAPI
 </li>
 <li>
 You are fluent in English. German is a plus.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Computer Science, Quality Assurance, Database, SQL, Technology
</div>

Data Engineer (m/w/d)

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 At the earliest date possible we are looking for support for our #teamsonnen
 
 
 Clean and affordable energy for all is one of the greatest challenges of our time. Sonnen has been committed to this mission since 2010 and is now represented in Europe, the USA and Australia with over 1,000 team members globally. In Germany, our offices are located in the beautiful Wildpoldsried (Allg&auml;u) and the vibrating heart of Berlin Kreuzberg.
 
 
 At sonnen, we are building the energy system of the future. To this end, we are developing new technologies and business models that have not existed before. Whether intelligent power storage, virtual power plants or digital services - we set the trends of a new energy world. That means, among other things, the inexpensive production and storage of renewable energy and the intelligent networking of producers and consumers. sonnen thereby gives people around the world the opportunity to become independent of fossil fuels and conventional energy supplier.
 
 
 We are growing steadily and are looking for people who want to join us in our vision of clean and affordable energy for all while making a positive impact on climate change.
 
 
 We are seeking a Data Engineer (m/f/d) to join our team and play a pivotal role in enabling our Business Intelligence and Data Science teams. As a Data Engineer, you will be responsible for maintaining and enhancing our AWS-based analytics platform, provisioning data from various sources, and enabling the development and stable operation of analytical solutions. We&rsquo;re looking for someone who shares our values, who isn&rsquo;t afraid to challenge existing processes, and who would like to work on innovative solutions in a fast-moving environment. If this sounds like you, then don&rsquo;t hesitate to get in touch.
 
 
 
 What you will do to help drive the energy transition:
 
 
 
 <ul>
 <li>
 (Senior) Define and design the architecture of our analytics platform, ensuring scalability, performance, and reliability.
 </li>
 <li>
 You design and build scalable data pipelines, ETL processes, and data lake and data warehousing solutions to support our analytics solutions.
 </li>
 <li>
 You develop and maintain data integration processes with a variety of structured and unstructured data sources.
 </li>
 <li>
 You implement, test, and maintain infrastructural components of sonnen&rsquo;s analytics platform and deploy and maintain data models.
 </li>
 <li>
 You implement data quality checks and monitoring mechanisms to ensure accuracy, completeness, and consistency of data.
 </li>
 <li>
 You define coding principles and support data scientists and analysts in implementing algorithms into operational solutions.
 </li>
 <li>
 Adhere to stringent quality assurance and documentation standards, utilizing version control and code repositories such as Gitlab.
 </li>
 <li>
 You stay up to date with emerging trends and technologies in data engineering and assess their potential applications to our business needs.
 </li>
 <li>
 (Senior) Share your knowledge by coaching/pair coding with more junior engineers.
 
 
 </li>
 </ul>
 
 What You Will Need On That Journey
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in computer science or a related technical field.
 </li>
 <li>
 +3 years of relevant employment experience in roles such as Data Scientist, Data Engineer, or Data Architect.
 </li>
 <li>
 +3 years of experience with ETL tools, Data Modeling, and Data Architecture.
 </li>
 <li>
 Experience with Big Data technologies such as Hadoop, Hive, and Spark.
 </li>
 <li>
 Ability to translate organizational goals into technical solutions.
 </li>
 <li>
 Experience with Infrastructure as Code (experience in Terraform and Ansible are a plus).
 </li>
 <li>
 Proficiency in Python, SQL, and NoSQL.
 </li>
 <li>
 Excellent communication and project management skills.
 
 
 </li>
 </ul>
 
 Stellensegment:
 
 Data Warehouse, Business Intelligence, Computer Science, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

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 apply your passion for finding opportunities in data by using established tools and techniques or by innovating/building new ones.
 
 
 In this role, you will collaborate with highly talented business consultants and data-scientists to design and drive architecture and implementation planning for our clients and act as a big data evangelist, educating McKinsey's and client's teams on data engineering topics. You&rsquo;ll actively cooperate with data scientists and digital consultants to incorporate clients&rsquo; requirements and impactful analysis into our data products. You&rsquo;ll also be an expert in data engineering and advise relevant people at the firm on technical aspects of analytics engagements.
 
 
 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.
 
 
 Lastly, you'll do meaningful work that makes a real difference with our clients. This is a hybrid client-facing/technical role using state-of-the-art technologies, whilst also being able to communicate complex intractable ideas to non-technical audiences.
 
 
 
 Your Qualifications and Skills
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science, engineering, mathematics or another relevant subject
 </li>
 <li>
 3+ years of experience in big data related software development; experience with data modeling, design patterns and building highly scalable and secured solutions
 </li>
 <li>
 Background in development with practical experience with at least one general purpose programming languages (Python, R, C, Java, Scala, etc.)
 </li>
 <li>
 Familiar with big data platforms (SQL, Teradata, Hadoop, Spark)
 </li>
 <li>
 Experience preparing data for analytics and following a data science workflow
 </li>
 <li>
 Advanced knowledge of data structures and algorithms, networking, operating systems, standard unix/linux operating systems, version control and DevSecOps tool chains, etc.
 </li>
 <li>
 Ability to work with a myriad of data types (structured and unstructured), extracting information from modern and legacy data platforms and identify and perform linkages across disparate data sets
 </li>
 <li>
 Meaningful experience in extracting and loading data from multiple database technologies like RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL), MPP (AWS Redshift, Teradata, Snowflake) and optionally NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan)
 </li>
 <li>
 Experience and interest in Cloud platforms such as AWS, Azure, GCP
 </li>
 <li>
 Commercial client-facing project experience is helpful
 </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 Engineer - QuantumBlack, AI by McKinsey

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674 data engineer jobs IN Cairo 12 Months Contract Jobs In Cairo Jobs In Alexandria Egypt

Data Engineer

Marketing Data Engineer

BI Data Engineer

Data Engineer (m/w/d)

Data Engineer (m/f/d)

Data Engineer (m/w/d)

Data Engineer - QuantumBlack, AI by McKinsey