analytics engineer

Orange Business

<div>
 
 About Us
 
 
 
 Join us at Orange Business!
 
 
 We are a network and digital integrator that understands the entire value chain of the digital world, freeing our customers to focus on the strategic initiatives that shape their business.
 
 
 Every day, you will collaborate with a team dedicated to providing consistent, sustainable global solutions, no matter where our customers operate. With over 30,000 employees across Asia, the Americas, Africa, and Europe, we offer a dynamic environment to develop and perfect your skills in a field filled with exciting challenges and opportunities.
 
 
 
 About The Role
 
 
 
 <ul>
 <li>
 Translate reporting and analytics needs into scalable data models (star/snowflake), conformed dimensions, and data marts.
 </li>
 <li>
 Evolve the data warehouse architecture and schema design to support new use cases and performance goals.
 </li>
 <li>
 Build and maintain ETL/ELT pipelines in Python/SQL; orchestrate workflows and enforce data quality checks.
 </li>
 <li>
 Implement a semantic/metrics layer to support consistent KPIs and enable self-service analytics.
 </li>
 <li>
 Define and run data quality tests, anomaly detection, lineage, and documentation to improve trust in data.
 </li>
 <li>
 Integrate diverse data sources (operational systems, relational DBs, Elasticsearch, APIs, message queues).
 </li>
 <li>
 Optimize performance (partitioning, indexing, clustering, materialized views) for reporting and ad-hoc analysis.
 </li>
 <li>
 Maintain security, confidentiality, and integrity of data in line with relevant regulations; implement RBAC and data masking where appropriate.
 </li>
 <li>
 Partner with analysts to design dashboards and reporting assets; enable BI best practices and governance.
 </li>
 <li>
 Participate in the on-call rotation to ensure data pipelines and services remain reliable.
 
 
 </li>
 </ul>
 
 About You
 
 
 
 <ul>
 <li>
 Advanced SQL and data modeling skills (dimensional modeling, SCDs, normalization vs. denormalization).
 </li>
 <li>
 Strong Python for data processing (e.g., pandas, SQLAlchemy) and building ETL/ELT with automated testing.
 </li>
 <li>
 Experience with CI/CD for data (Git, code reviews, data tests using dbt/Great Expectations or similar).
 </li>
 <li>
 Experience with at least one of: PostgreSQL, MySQL/MariaDB, or Elasticsearch.
 </li>
 <li>
 Orchestration and transformation tools (e.g., Airflow/Prefect and/or dbt).
 </li>
 <li>
 Comfortable with Linux, Docker, and Git.
 </li>
 <li>
 BI/visualization experience (e.g., Power BI, Tableau, Looker, Superset, or Metabase) and dashboard design fundamentals.
 </li>
 <li>
 Writing tests gives you confidence in your code.
 </li>
 <li>
 Willingness to work in an on-call rotation.
 </li>
 <li>
 Full professional proficiency in English (written and verbal ) essential
 </li>
 <li>
 4+ years of relevant experience.
 
 
 </li>
 </ul>
 
 Plus:
 
 
 
 <ul>
 <li>
 Experience with message queues and streaming (RabbitMQ, Kafka).
 </li>
 <li>
 Exposure to modern cloud warehouses (Snowflake, BigQuery, Redshift) or columnar/time-series stores (ClickHouse, TimescaleDB).
 </li>
 <li>
 Experience with Kubernetes for deploying data workloads.
 </li>
 <li>
 Data catalog/lineage tooling (DataHub, OpenLineage, Amundsen) and metrics layer design (dbt metrics, LookML, semantic layers).
 </li>
 <li>
 Security telemetry analytics experience and governance for sensitive data (RBAC, masking, GDPR).
 
 
 </li>
 </ul>
 You bring a can-do attitude, tackle challenges head-on and challenge the status quo with new and innovative ideas.
 
 
 
 What We Offer
 
 
 
 <ul>
 <li>
 Global Opportunities: Work in multi-national teams with opportunity to collaborate with colleagues and customers from all over the world.
 </li>
 <li>
 Flexible Work Environment: Flexible working hours and possibility to combine work from office and home (hybrid ways of working).
 </li>
 <li>
 Professional Development: training programs and upskilling/re-skilling opportunities.
 </li>
 <li>
 Career Growth: Internal growth and mobility opportunities within Orange.
 </li>
 <li>
 Caring and Daring Culture: Health and well-being programs and benefits, diversity &amp; inclusion initiatives, CSR and employee connect events.
 </li>
 <li>
 Reward Programs: Employee Referral Program, Change Maker Awards.
 
 
 </li>
 </ul>
 
 Only Your Skills Matter
 
 
 
 Regardless of your age, gender identity, race, ethnic origin, religion/belief, sexual orientation, marital status, neurotype, disability, veteran status or appearance, we encourage diversity within our teams because it is a strength for the collective and a vector of innovation. Orange Group is a disabled-friendly company and equal opportunity employer: don't hesitate to tell us about your specific needs.
</div>

Analytics Engineer

sonnen Egypt

<div>
 
 Standort
 
 
 
 Cairo, EG
 
 
 
 Stellen-ID
 
 : 4758
 
 
 Join the energy revolution with #teamsonnen!
 
 
 At sonnen, we&rsquo;re driven by a clear goal: creating a future powered by clean, affordable energy for everyone. That&rsquo;s why we make our customers independent &ndash; not only from fossil fuels, but also from rising electricity costs.
 
 
 The key to this independence is our intelligent, all-in-one energy system. It combines solar panels, battery storage, energy tariffs, and wallboxes &ndash; all developed and manufactured in Germany.
 
 
 As the first and only provider in Germany, we also connect thousands of home batteries into one shared network: the sonnenVPP, our industry-leading virtual power plant.
 
 
 In short: every day, we&rsquo;re working to shape the energy future. And we&rsquo;d be thrilled to have you join us!
 
 
 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:
 
 Computer Science, Data Warehouse, Business Intelligence, Quality Assurance, Project Manager, Technology
</div>

Data Engineer (m/f/d)

Prometeia

<div>
 
 
 Business Intelligence Developer / Data Management Engineer
 
 
 
 
 
 
 Prometeia is a global firm of quantitative experts and software engineers, dedicated to applying financial modelling, economic research and data science to solve complex business and regulatory challenges. Our mission is to combine academic excellence with industry experience, integrating macro-economic research, quantitative analysis, business consulting and software development. This distinctive mix of competences has made Prometeia a leading company in Risk, Asset and Wealth Management solutions across Europe, Africa and Middle East
 
 
 .As a leading provider of Risk Management solutions in the Egyptian market, Prometeia is looking to strengthen its
 
 Risk &amp; Regulatory Analytics Team in Cair
 
 o, by hiring a Business Intelligence Developer / Data Management Engineer with proven experience in the fields of Bank and Financial Services Data Management, MIS and Regulatory Reporting.
 
 
 
 
 
 
 RESPONSIBILITIES
 
 
 
 The successful candidate will collaborate with a specialized team of business consultants and IT resources, operating within different projects for financial intermediaries. Key responsibilities include:
 
 <ul>
 <li>
 Critical analysis of large volumes of banking/insurance data.
 </li>
 <li>
 Understand customer requirements for data management processes, focused on Data Warehouse and Data Lakehouse.
 </li>
 <li>
 Make data-related decisions by analyzing, manipulating, tracking and reporting structured and unstructured data.
 </li>
 <li>
 Deliver functional and technical analysis for data and meta-data.
 </li>
 <li>
 Design, build, test and deploy ETL procedures, to feed Data Warehouse/Data Lakehouse and automate data loading processes.
 </li>
 <li>
 Analyze and investigate data issues.
 </li>
 <li>
 Manage the User Acceptance Testing (UAT) of data delivery.
 </li>
 </ul>
 
 
 
 
 
 REQUIREMENTS
 
 
 <ul>
 <li>
 Degree in IT, information studies, software engineering, or a related discipline.
 </li>
 <li>
 Up to 4 years&rsquo; experience on delivering Data Management or BI solutions for banks, preferably in Egypt or the Middle East region.
 </li>
 </ul>
 
 Advanced knowledge of:
 
 <ul>
 <li>
 Design and implementation of Data Analysis Environments and Data Analytics.
 </li>
 <li>
 DWHs, Datamarts and DBMS structure and functionalities.
 </li>
 <li>
 Dashboard and automated reporting analysis and delivery.
 </li>
 <li>
 Oracle databases and Informatica Power Center
 </li>
 <li>
 SQL Server language
 </li>
 <li>
 SQL Server databases, Reporting Services, Tabular databases and DAX query language will be considered as plus.
 </li>
 <li>
 Services for data visualization like Tableau and PowerBI.
 </li>
 <li>
 Familiarity with Python libraries and tools for Machine Learning (numpy/pandas) and scientific computing
 </li>
 <li>
 Knowledge of statistics, Machine Learning and major clustering, classification and regression algorithms.
 </li>
 <li>
 Excellent algorithmic skills.
 </li>
 </ul>
 
 
 
 
 
 PROJECT SKILLS
 
 
 <ul>
 <li>
 Experience in analysis of business requirements for the implementation of input data interfaces.
 </li>
 <li>
 Experience with production of MIS and BI reports to support strategic decisions, risk and performance management.
 </li>
 <li>
 Experience with production of regulatory reporting for national and international supervisors (BCBS/CBE).
 </li>
 <li>
 Ability to create and follow work plans and monitor related project deadlines both with colleagues and clients (project managers and business experts).
 </li>
 <li>
 Ability to manage the interface with the client for first level debugging of anomalies / tickets (Help Desk Management).
 </li>
 <li>
 Ability to work independently on tasks.
 </li>
 <li>
 Be analytical and overly detailed oriented when dealing with functional/methodological support issues and projects.
 </li>
 <li>
 Be flexible and adaptable to changing priorities
 </li>
 </ul>
 
 
 
 
 
 SOFT SKILLS
 
 
 <ul>
 <li>
 Arabic native speaker
 </li>
 <li>
 Fluency in English is mandatory (at least C1)
 </li>
 <li>
 Capable of working within a multi-language and multicultural environment
 </li>
 <li>
 Strong attention to details and technicalities
 </li>
 <li>
 Excellent organizational and technical skills
 </li>
 <li>
 Teamwork attitude, flexibility, and proactivity
 </li>
 <li>
 Problem solving skills and good interpersonal skills
 </li>
 </ul>
 
 
 
 
 
 WHAT WE OFFER
 
 
 
 The selected candidate will be offered a career path that will include projects abroad as well as the opportunity to work in a stimulating and dynamic environment, strongly oriented towards the enhancement of resources according to the objectives attained.
 
 
 
 
 
 
 LOCATION
 
 
 
 Cairo
 
 
 
 
 
 
 OTHER
 
 
 
 Applications made without sending an updated cv in English won't be co
 
 
 nsidered.The eligible candidates will be contacted for a preliminary call by the Corporate HR Representatives (Italy-based).
 
 
 Prometeia is committed to employing a diverse workforce. Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.
 
 
 
</div>

Business Intelligence Developer / Data Management Engineer

TechLabs London

<div>
 
 About TechLabs London:
 
 
 
 At TechLabs London, we build cutting-edge digital products that power smarter, more connected organizations. Our flagship solution is transforming housing management with modern cloud technology, intuitive design, and seamless integration. We are now embedding
 
 AI and intelligent automation
 
 across our platforms &mdash; and this role is at the center of that mission. We&rsquo;re looking for a driven and creative
 
 AI Engineer
 
 to lead this charge with us, to deliver production-ready AI features, predictive analytics, and computer vision tools that unlock real business value.
 
 
 
 Job Purpose:
 
 As an AI Engineer you&rsquo;ll be responsible for the development, deployment, and optimisation of advanced AI and ML capabilities within TechLabs London. You will collaborate with cross-functional teams to embed intelligent solutions into our existing product suite and shape the next generation of AI-powered features across our platforms. This role is perfect for someone who&rsquo;s passionate about building practical AI solutions and wants to see their work improve lives, save time, and power decisions. You&rsquo;ll help the business translate complex challenges into intelligent, scalable solutions.
 
 
 
 Responsibilities:
 
 
 
 <ul>
 <li>
 Design and build end-to-end AI pipelines across use cases such as predictive modelling, NLP, computer vision, and conversational AI.
 </li>
 <li>
 Design, develop and deploy conversational AI solutions using LLMs and agentic frameworks (e.g. LangChain, LangGraph), including RAG pipelines, intent classification, entity extraction, and multi-turn dialogue management.
 </li>
 <li>
 Apply computer vision to extract intelligence from images and videos for detection, classification, and automation.
 </li>
 <li>
 Develop time-series models that analyze behavior and generate predictive.
 </li>
 <li>
 Experiment with foundational models and fine-tune them for specific tasks relevant to our domain.
 </li>
 <li>
 Integrate models into production by working with our developers to deploy solutions into our products and beyond.
 </li>
 <li>
 Architect and build scalable, secure, and reusable ML APIs, workflows, and pipelines using modern MLOps practices and containerisation (Docker).
 </li>
 <li>
 Translate business problems into data-driven solutions, working closely with product, customer success, and engineering teams.
 </li>
 <li>
 Champion AI-first thinking across the company, supporting POCs, internal tooling, and customer-facing features.
 </li>
 <li>
 Collaborate with internal developers, product managers, domain experts, and external stakeholders to ensure solutions are feasible, maintainable, and impactful, as well as to define data strategies and model objectives.
 </li>
 <li>
 Conduct rigorous A/B testing and model evaluation.
 </li>
 <li>
 Support the integration of models into production systems using APIs and microservices.
 </li>
 <li>
 Stay abreast of advancements in AI/ML research and apply relevant breakthroughs to ongoing projects.
 
 
 
 </li>
 </ul>
 
 Skills and Experience:
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in information technology, Software Engineering, Computer Science, or related field.
 </li>
 <li>
 Proven experience building and deploying LLM-powered applications, including RAG pipelines and conversational agents.
 </li>
 <li>
 Hands-on experience with LangChain or similar agentic frameworks (LangGraph, AutoGen, or equivalent).
 </li>
 <li>
 Strong proficiency in Python and relevant ML libraries (e.g. pandas, scikit-learn, PyTorch, spaCy, Hugging Face, OpenCV etc.)
 </li>
 <li>
 Experience with cloud platforms &mdash; Azure is our primary platform (preferred); AWS or GCP also considered.
 </li>
 <li>
 Containerization and orchestration: Docker, Docker Compose.
 </li>
 <li>
 Solid understanding of data modelling, feature engineering, and data warehousing concepts.
 </li>
 <li>
 Strong knowledge of SQL and experience with relational and/or vector databases (e.g. pgvector, Pinecone, Weaviate).
 </li>
 <li>
 Proficiency in version control, CI/CD, and model deployment practices.
 </li>
 <li>
 Experience integrating AI models into web or mobile applications is highly valued.
 </li>
 <li>
 Experience with MLOps tools like MLflow, Airflow, DVC.
 </li>
 <li>
 Familiarity with MCP Server (Model Context Protocol) for building tool-augmented AI agents is a plus.
 
 
 
 </li>
 </ul>
 
 Mindset &amp; Soft Skills:
 
 
 
 <ul>
 <li>
 Strong problem-solving and analytical thinking &mdash; able to translate messy real-world data into measurable solutions.
 </li>
 <li>
 Pragmatic and delivery-oriented &mdash; capable of balancing technical innovation with business impact.
 </li>
 <li>
 Communicative and collaborative &mdash; comfortable working across teams and disciplines.
 </li>
 <li>
 Self-driven &mdash; able to manage time, priorities, and project ownership in a fast-moving team.
 </li>
 <li>
 Knowledge of data governance, bias mitigation, and explainable AI techniques.
 </li>
 </ul>
</div>

AI& Data Engineer (Hybrid)

Deloitte

<div>
 
 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
 
 
 
 Our consultants work in a variety of projects to solve clients' toughest data problems by combining industry experience, consulting, and analytical skills to create a lasting impact.
 
 
 
 Responsibilities
 
 
 
 Our projects and clients vary greatly, and your responsibilities will differ based on your level of experience/skillset and the focus of the client engagement, but within our Analytics &amp; Cognitive SAS practice, your role is likely to include some or all of the following:
 
 
 <ul>
 <li>
 Advising clients on appropriate tooling for a particular solution based on your expertise in specific technologies
 </li>
 <li>
 Supporting our future pipeline of work, from design to sales, through to setup and delivery
 </li>
 <li>
 Placing a focus upon exceeding client expectations and delivering against our continuous improvement goals, taking a client problem, and turning it into a technical solution
 </li>
 <li>
 Providing technical oversight for other team members, including mentoring and guidance on technologies and methodologies
 </li>
 <li>
 Having the opportunity to lead and directly shape client relationships, with extensive client interaction as part of our Analytics team
 </li>
 <li>
 Working in an environment where self-development, learning and knowledge sharing is actively encouraged as part of the day-to-day work of the team
 
 
 </li>
 </ul>
 
 Connect To Your Skills And Professional Experience
 
 
 
 <ul>
 <li>
 Bachelor's degree in computer science or computer engineering from reputable university
 </li>
 <li>
 7 - 10 years of experience as Software Testing Engineer at least 2 of them in Testing Automation.
 </li>
 <li>
 2+ years of programming experience, preferably in Java.
 </li>
 <li>
 Experience in Test Management tools ( Jira)
 </li>
 <li>
 Experience in API Testing Automation tools (SOAPUI, Postman)
 </li>
 <li>
 Experience in Test Automation tools and frameworks (Selenium, Cucumber, Rest Assured)
 </li>
 <li>
 Participate in internal and client-facing meetings to discuss requirements and shape test scripts based on knowledge of the product.
 </li>
 <li>
 Identify and breakdown the necessary tasks to test a new product
 </li>
 <li>
 Design test scripts by working with stakeholders and other members of the team
 </li>
 <li>
 Set up automated tests and UAT test scripts
 </li>
 <li>
 Identify and carry out a root cause analysis of errors and flag issues as and when they surface
 </li>
 <li>
 Participating in some of the offering development process to understand the growth and capability of the product
 </li>
 <li>
 Adhering to and updating established QA processes
 </li>
 <li>
 Devising and deploying fixes and improvements
 </li>
 <li>
 Writing and updating user documentation and operational procedures
 </li>
 <li>
 Visualise the test script results either by developing reports independently or working with the visualization developers.
 </li>
 <li>
 Using the knowledge of product testing to work in developing any in-built product validation processes where required
 
 
 </li>
 </ul>
 
 Connect to your service line - Technology &amp; Transformation
 
 
 
 Distinctive thinking, deep expertise, and collaborative working. That&rsquo;s what connects us. That&rsquo;s what makes us Deloitte. If you want to help solve some of the biggest challenges around, join us. Together, we&rsquo;ll make an impact that matters.
 
 
 
 Personal independence
 
 
 
 Regulation and controls are standard practice in our industry and Deloitte is no exception. These controls provide important legal protection for both you and the firm. We are subject to a number of audit regulations, one of which requires that certain colleagues abide by specific personal independence constraints. This can mean that you and your "Immediate Family Members" are not permitted to hold certain financial interests (shares, funds, bonds etc.) with audit clients of the firm. The recruitment team will provide further detail as you progress through the recruitment process.
 
 
 
 Connect to your Industry
 
 
 
 &ldquo;What attracted me to Deloitte were the endless opportunities and the collective experience of other like-minded individuals. Deloitte&rsquo;s clients include many of the world&rsquo;s largest organisations; I wanted to be part of a team that made a difference that I could be proud of.&rdquo;
 
 
 <ul>
 <li>
 Dan, Technology &amp; Transformation
 
 
 </li>
 </ul>
 
 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 | Automation Testing Tech Lead, Cairo, Egypt

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 RESPONSIBILITIES:
 
 
 
 &bull; Part of a team responsible for charting the AI strategy and defining the problems to be solved with AI.
 
 
 &bull; Integration of advanced AI features into Power BI reports.
 
 
 &bull; Use of AI visuals like decomposition trees, key influencers, and Q&amp;A.
 
 
 &bull; Collaboration with business users to deliver intelligent, AI-powered dashboards.
 
 
 &bull; Embedding machine learning models into Power BI using Azure ML.
 
 
 &bull; Enabling predictive analytics and NLP (Natural Language Processing) within reports.
 
 
 &bull; Participate in code and design reviews to maintain a high-quality codebase.
 
 
 &bull; Collaborate across teams to help with AI adoption and best practices.
 
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 
 &bull; Bachelor&rsquo;s or master&rsquo;s degree in Computer Science, Engineering, Data Science, or a related field.
 
 
 &bull; 3+ years of experience in AI, machine learning, or applied analytics, ideally with a focus on business intelligence tools.
 
 
 &bull; Proven experience developing AI-powered solutions in Power BI, including use of AI visuals (e.g., key influencers, decomposition trees, Q&amp;A), and integrating ML models via Azure ML.
 
 
 &bull; Strong understanding of Power BI architecture, DAX, Power Query, and data modeling best practices.
 
 
 &bull; Familiarity with Azure AI Services (e.g., OpenAI, AI Search, AI Language, AI Document Intelligence) and their integration into Power BI.
 
 
 &bull; Experience with Python and basic ML frameworks (e.g., scikit-learn) and model optimization in Power BI.
 
 
 &bull; Understanding of natural language processing (NLP) and its application in business reporting is a plus.
 
 
 &bull; Hands-on experience with Azure Machine Learning, Databricks, or Synapse Analytics is beneficial &ndash; focus on data preparation pipelines that feed into Power BI.
 
 
 &bull; Comfortable working in Agile environments using tools like Azure DevOps.
 
 
 &bull; Azure certifications (e.g., Azure Data Scientist Associate, Power BI Data Analyst Associate) are a plus.
 
 
 &bull; Strong analytical thinking, communication, and stakeholder collaboration skills.
 
 
 
 
 
 
 ABOUT YOUR NEW TEAM
 
 
 
 We are Coca-Cola Hellenic, a growth-focused consumer goods business and strategic bottling partner of the Coca-Cola Company. We bottle, distribute and sell an unrivalled range of products in 29 markets in Europe, Africa and Eurasia. As we do, we create value for all stakeholders, support socio-economic growth and build a more positive environmental impact.
 
 
 We bring together more than 30,000 people from over 70 nationalities, coming from five continents. The diversity of our markets, from mature to emerging economies, provides a wide range of attractive opportunities for growth.
 
 
 We nurture our talents. We give opportunities to people across all functions and levels, as well as different geographies, backgrounds and education. We are willing to take a risk on the people we believe in, even if they don&rsquo;t have the perfect experience. We have faith in what every person can be.
 
 
 And although we have so much to be proud of, we always stay humble. We believe the real magic happens &ndash; for us and for you &ndash; when we OPEN UP.
 
 
 
 
 
 
 AT COCA-COLA HBC, DIVERSITY HELPS US 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

Konecta

<div>
 
 About the job
 
 
 
 
 
 
 Required skills (must have)
 
 
 <ul>
 <li>
 
 Google Cloud Platform
 
 : hands-on experience with Compute Engine, Cloud Storage, BigQuery, Pub/Sub, IAM, VPC, Cloud Functions.
 </li>
 <li>
 
 Infrastructure as Code (IaC)
 
 : strong knowledge of Terraform (Deployment Manager/Ansible is a plus).
 </li>
 <li>
 
 Containers &amp; Orchestration
 
 : Docker, Kubernetes (GKE), Helm.
 </li>
 <li>
 
 CI/CD &amp; DevOps
 
 : automation pipelines (GitLab CI, Jenkins, Cloud Build, ArgoCD).
 </li>
 <li>
 
 Networking &amp; Security
 
 : firewall, load balancer, VPN, IAM, access and identity policy management.
 </li>
 <li>
 
 Monitoring &amp; Logging
 
 : observability tools (Cloud Monitoring/Logging, Prometheus, Grafana).
 </li>
 <li>
 
 Scripting
 
 : solid proficiency in Python and Bash.
 </li>
 </ul>
 
 
 Preferred skills (nice to have)
 
 
 <ul>
 <li>
 Google Professional Cloud Engineer or Google Professional Data Engineer certification.
 </li>
 <li>
 Experience in multi-cloud environments (AWS, Azure).
 </li>
 <li>
 Knowledge of FinOps practices for cloud cost optimization.
 </li>
 <li>
 Experience with service mesh tools (Istio, Linkerd).
 </li>
 </ul>
 
 
 Required soft skills
 
 
 <ul>
 <li>
 Ability to work in multidisciplinary teams (DevOps, Data, Security).
 </li>
 <li>
 Strong documentation mindset (architectures, procedures, runbooks).
 </li>
 <li>
 Problem-solving skills in complex and distributed environments.
 </li>
 <li>
 Flexibility and curiosity towards new cloud-native technologies
 </li>
 </ul>
 
 &hellip; more
 
 
 
 
 
 Requirements added by the job poster
 
 
 &bull; 3+ years of work experience with Bash
 
 
 &bull; 3+ years of work experience with Python (Programming Language)
 
 
 &bull; 3+ years of work experience with Google Cloud Platform (GCP)
 
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Cloud Engineer - GCP

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