ai engineer, light

ai/ml engineer

devops engineer

project manager

ptw engineer

ai platform engineer

<div>
 
 Introduction
 
 
 
 A career in IBM Consulting is built on long-term client relationships and close collaboration worldwide. You&rsquo;ll work with leading companies across industries, helping them shape their hybrid cloud and AI journeys. With support from our strategic partners, robust IBM technology, and Red Hat, you&rsquo;ll have the tools to drive meaningful change and accelerate client impact. At IBM Consulting, curiosity fuels success. You&rsquo;ll be encouraged to challenge the norm, explore new ideas, and create innovative solutions that deliver real results. Our culture of growth and empathy focuses on your long-term career development while valuing your unique skills and experiences.
 
 
 
 Your Role And Responsibilities
 
 
 
 As a Data Engineer specializing in Data Platforms-Databricks, you will play a critical role in building and enhancing the Databricks platform for client's Data and AI use cases. This role involves implementing Data and AI use cases on the Databricks platform, requiring strong technical expertise and collaboration. Your primary responsibilities will include:
 
 
 <ul>
 <li>
 Implement Data and AI use cases: Implement data and AI use cases on the Databricks platform, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Enhance Databricks Platform: Build and enhance the Databricks platform to meet client needs, leveraging expertise in data engineering and cloud technologies.
 </li>
 <li>
 Support Client Use Cases: Collaborate with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Required Technical And Professional Expertise
 
 
 
 <ul>
 <li>
 Databricks Platform Expertise: Experience with building and enhancing Databricks platforms for data and AI use cases, including implementing data and AI solutions.
 </li>
 <li>
 Data Engineering Skills: Experience with data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 Cloud Technology Knowledge: Experience with cloud technologies, including migration, deployment, and management of data and AI applications on cloud-based infrastructure.
 </li>
 <li>
 Implementation Expertise: Experience with implementing data and AI use cases on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 <li>
 Technical Collaboration: Experience working collaboratively with clients to understand their data and AI requirements, providing technical expertise to implement use cases on the Databricks platform.
 
 
 </li>
 </ul>
 
 Preferred Technical And Professional Experience
 
 
 
 <ul>
 <li>
 Cloud Migration Knowledge: Exposure to migrating data and AI applications to cloud-based infrastructure, including deployment and management on Databricks platforms.
 </li>
 <li>
 Advanced Data Engineering: Exposure to advanced data engineering principles and practices, including data processing, storage, and retrieval on cloud-based platforms.
 </li>
 <li>
 AI Solution Implementation: Exposure to implementing AI solutions on Databricks platforms, ensuring seamless integration and optimal performance.
 </li>
 </ul>
</div>

Senior Data Engineer - Data Integration - Databricks

HR Hub

Role PurposeAs the Senior AI Delivery Lead, you will drive the execution of enterprise AI capabilities acrossthe group. You will champion a &quot;Configure-First&quot; approach&mdash;leveraging Copilot Studio for rapidM365-integrated solutions while reserving custom engineering for complex orchestration viaAzure AI Foundry. This role balances internal delivery, deep business collaboration, and thetechnical oversight of external AI providers to ensure a unified and secure AI ecosystem.The role operates within a federated group structure spanning 13 insurance entities across 9MENA countries. Influence and credibility matter more than hierarchy &mdash; the ability to engagesubsidiary teams, win trust across cultures, and drive adoption without direct authority is asimportant as technical capability.Key Responsibilities1. Business Collaboration &amp; Use Case Strategy<ul><li>Domain Partnership: Work directly with business, underwriting, claims, operations,</li></ul>finance, and risk teams to identify, document, and prioritize high-value AI use casesacross subsidiaries.<ul><li>Solution Translation: Translate complex business problems into functional AI solutions,</li></ul>moving from initial ideation to proof of concepts (PoCs) and MVPs.<ul><li>Ideation Leadership: Facilitate AI circles, hackathons, and prototype labs to foster a</li></ul>culture of AI-driven innovation across the group.2. Tiered AI Delivery &amp; Engineering<ul><li>Rapid Deployment: Prioritize the use of Copilot Studio and Power Platform for</li></ul>conversational AI and internal knowledge assistants to ensure speed-to-market.<ul><li>Custom Orchestration: Design and implement bespoke RAG pipelines and agentic</li></ul>workflows using the Microsoft Agent Framework and Azure AI Agent Service.<ul><li>Integration: Build AI-enabled workflows that connect with enterprise systems (CRM,</li></ul>ERP, Claims systems) via custom APIs and connectors.3. External Project Oversight<ul><li>Vendor Gatekeeping: Serve as the lead technical reviewer for AI projects developed by</li></ul>external providers to ensure they meet group standards for architecture and scalability.<ul><li>Compliance Alignment: Ensure third-party solutions adhere to the Group AI</li></ul>Governance Framework, data classification standards, and security protocols.4. Governance &amp; Monitoring<ul><li>Security &amp; Risk: Apply essential controls, including prompt injection protection and</li></ul>sensitive data detection, ensuring all AI activity is visible via Microsoft Sentinel.<ul><li>Performance Metrics: Maintain dashboards tracking token consumption, Azure costs,</li></ul>and the measurable business value delivered by each deployment.Required Experience &amp; Skills<ul><li>Experience: 5&ndash;8 years in AI/Software Engineering or Digital Transformation with a clear</li></ul>progression toward delivery leadership.<ul><li>Microsoft Ecosystem: Hands-on expertise in Copilot Studio, Azure AI Foundry, Azure</li></ul>OpenAI, and Azure AI Search.<ul><li>Agentic Frameworks: Experience with the Microsoft Agent Framework, Azure AI Agent</li></ul>Service, or equivalent orchestration frameworks such as LangChain, AutoGen, orSemantic Kernel.<ul><li>Technical Proficiency: Professional command of Python and at least one of C#,</li></ul>JavaScript, or TypeScript.<ul><li>Stakeholder Engagement: Exceptional communication skills, with the ability to engage</li></ul>equally with technical engineers and non-technical business leaders.<ul><li>Domain Knowledge: Experience in Insurance or Financial Services is a strong advantage.</li><li>Language: English and Arabic language proficiency is a meaningful advantage given our</li></ul>MENA footprint.Preferred Certifications<ul><li>Microsoft Azure AI Engineer Associate, Azure Solutions Architect Expert, Microsoft</li></ul>Power Platform certification<ul><li>Security certification: SC-900, AZ-500, or equivalent</li></ul>Success IndicatorsThe 90-Day Plan<ul><li>Governance Baseline: Establish the group's AI solution architecture and governance</li></ul>checklist.<ul><li>Active Delivery: Have at least one AI use case in active pilot and a documented roadmap</li></ul>of prioritized business use cases.<ul><li>Platform Readiness: Baseline the Azure AI platform with full logging, cost controls, and</li></ul>SIEM visibility.The 12 Months Plan<ul><li>Active Delivery: Scale 4&ndash;6 AI use cases into production across at least two business</li></ul>functions<ul><li>Governance Baseline: Quarterly value reporting to leadership about ai adoption and</li></ul>usage.Reporting LineThis role reports directly to the Group CTO, with close working relationships with:<ul><li>Group Data Analytics</li><li>Group CISO / Cybersecurity</li><li>Risk Management and Compliance</li><li>Data Protection / Legal</li><li>Business AI Champions across subsidiaries</li><li>Subsidiary IT teams</li><li>Microsoft and implementation partners where applicable</li></ul>Application Question(s):<ul><li>Expected Salary?</li></ul>Work Location: In person

Senior AI Delivery Lead

<div>
 
 
 About the Company
 
 
 
 
 
 
 
 
 
 At TP we deliver excellent service and support. Every colleague commits to the following principles:
 
 
 
 
 
 
 
 <ul>
 <li>
 
 Taking ownership.
 
 You hold the request or problem until it is resolved. We do not send people away to another (internal) desk.
 </li>
 <li>
 
 Unburdening colleagues.
 
 We do not say "no, this is not possible". We think along with them and explain how what they want can be achieved in a different way.
 </li>
 <li>
 
 Proactive communication.
 
 If we are not going to meet a deadline you hear it from us proactively, not after the fact.
 </li>
 </ul>
 
 
 
 
 
 
 
 About the Role
 
 
 
 
 
 
 
 
 
 As a Senior CX Platform &amp; Conversational AI Engineer, you design, operate and continuously improve TP's CCaaS and conversational AI capabilities. You ensure that Genesys Cloud, IVR, routing, chat, messaging, voice, integrations and AI-supported customer journeys improve agent productivity, customer experience and account outcomes. The role combines hands-on CCaaS engineering with conversational AI, prompt lifecycle management, ITIL discipline and measurable CX improvement. You treat prompts, bot flows and agent-assist configurations as production artefacts that are versioned, tested, monitored and changed under control. The role contributes directly to business outcomes such as AHT, FCR, containment, CSAT, agent productivity and cost-to-serve, while ensuring platform reliability, secure data handling and operational continuity. You report to the IT Director and work closely with IT Engineering &amp; Development, Service Management, Operations, Business Service &amp; AI Demand Partners and relevant vendors.
 
 
 
 
 
 
 
 
 
 Responsibilities
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Owning the technical lifecycle and operational quality of Genesys Cloud / PureCloud capabilities within the assigned scope.
 </li>
 <li>
 Designing, configuring, operating and improving Genesys Cloud / PureCloud and related CCaaS components.
 </li>
 <li>
 Building and optimising IVR, ACD, chat, SMS/messaging, email routing and channel-spanning customer journeys.
 </li>
 <li>
 Supporting SIP trunks, telephony integration, voice quality, call routing and incident resolution.
 </li>
 <li>
 Integrating CCaaS platforms with CRM, ServiceNow, knowledge bases, agent desktop tools, reporting and conversational AI services.
 </li>
 <li>
 Designing and improving bot flows, intent models, fallback handling, escalation logic and containment optimisation.
 </li>
 <li>
 Supporting LLM-driven summarisation, suggested responses, next-best-action and knowledge retrieval at the point of need (agent assist).
 </li>
 <li>
 Ensuring that AI-supported customer journeys and agent-assist capabilities are designed with appropriate human-in-the-loop, privacy and quality controls.
 </li>
 <li>
 Designing, testing, versioning, monitoring and retiring prompts as production artefacts under change control.
 </li>
 <li>
 Defining and executing test scenarios, regression checks and go-live validation for CX-critical changes.
 </li>
 <li>
 Working with Business Service &amp; AI Demand Partners and Operations stakeholders to translate business and client requirements into measurable CX platform improvements.
 </li>
 <li>
 Supporting and shaping the convergence between CCaaS capabilities and conversational AI within the CX domain.
 </li>
 <li>
 Supporting vendor coordination for Genesys, telephony, conversational AI and integration-related topics.
 </li>
 <li>
 Applying ITIL incident, problem, change and release practices to CX-critical services.
 </li>
 <li>
 Maintaining flow documentation, prompt documentation, runbooks, test scenarios and support guidance.
 </li>
 </ul>
 
 
 
 
 
 
 
 Qualifications
 
 
 
 
 
 
 
 
 <ul>
 <li>
 At minimum a demonstrable bachelor-level working and thinking ability in IT, engineering, telecommunications, computer science or a related ICT discipline, or equivalent experience.
 </li>
 <li>
 Genesys Cloud certification preferred.
 </li>
 <li>
 ITIL Foundation desirable; practical ITIL experience required.
 </li>
 <li>
 Conversational AI, bot design, prompt engineering or CX automation certification is desirable.
 </li>
 <li>
 Working knowledge of SIP / VoIP, REST APIs, contact-centre fundamentals and omnichannel service delivery is required.
 </li>
 <li>
 Minimum 5 years of experience in CCaaS, contact center technology, telephony or CX platform engineering.
 </li>
 <li>
 Strong hands-on experience with Genesys Cloud / PureCloud, including routing, queues, flows, IVR and platform administration.
 </li>
 <li>
 Working knowledge of SIP, VoIP, trunking, voice quality and telephony troubleshooting.
 </li>
 <li>
 Experience with REST APIs, JSON, webhooks and integration patterns.
 </li>
 <li>
 Experience with ServiceNow ITSM processes required; ServiceNow integration / API experience desirable.
 </li>
 <li>
 Experience with conversational AI, bot flows, intent models, prompt design or agent assist is strongly desirable.
 </li>
 <li>
 Working knowledge of ITIL incident, problem, change and release practices.
 </li>
 <li>
 Strong documentation discipline: flow documentation, prompt documentation, runbooks, test scenarios and operational handover.
 </li>
 <li>
 Ability to work independently in an international remote or hybrid team.
 </li>
 <li>
 English C1 required.
 </li>
 </ul>
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Hands-on Genesys Cloud / PureCloud experience.
 </li>
 <li>
 Strong understanding of IVR, ACD, routing, queues and omnichannel flows.
 </li>
 <li>
 Working knowledge of SIP / VoIP / trunking and voice troubleshooting.
 </li>
 <li>
 Experience with REST APIs, JSON and integration patterns.
 </li>
 <li>
 ITIL incident, problem and change management awareness.
 </li>
 <li>
 ServiceNow ITSM awareness.
 </li>
 <li>
 Strong documentation discipline.
 </li>
 <li>
 English C1.
 </li>
 <li>
 Ability to work independently in an international remote / hybrid environment.
 </li>
 <li>
 Basic conversational AI and prompt engineering awareness, or demonstrable willingness and ability to learn quickly.
 </li>
 </ul>
 
 
 
 
 
 
 
 Preferred Skills
 
 
 
 
 
 
 
 
 <ul>
 <li>
 Advanced conversational AI design.
 </li>
 <li>
 Prompt lifecycle management.
 </li>
 <li>
 Agent assist design and evaluation.
 </li>
 <li>
 Bot analytics and containment optimisation.
 </li>
 <li>
 Genesys advanced integrations.
 </li>
 <li>
 AI ethics and data compliance in customer interaction environments.
 </li>
 <li>
 Customer journey analytics.
 </li>
 <li>
 ServiceNow API integration.
 </li>
 <li>
 Vendor management and advanced stakeholder communication.
 </li>
 </ul>
 
 
</div>

Senior Full Stack & AI Solutions Developer

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
 
 
 
 
 Role Overview
 
 
 
 We&rsquo;re looking for a
 
 Full Stack AI Software Engineer with strong AI/ML experience
 
 to join our AI Factory team.
 
 
 You&rsquo;ll work on designing, developing, and deploying scalable, production-grade applications that integrate
 
 Large Language Models
 
 ,
 
 Generative AI
 
 , and
 
 data pipelines
 
 .
 
 
 You will collaborate closely with data scientists, AI researchers, and business stakeholders to turn ideas into impactful AI-powered software products.
 
 
 
 Key Responsibilities
 
 
 
 <ul>
 <li>
 Design and develop end-to-end AI-powered applications and internal tools for business teams.
 </li>
 <li>
 Build and maintain full-stack applications using React (frontend) and Python/FastAPI (backend).
 </li>
 <li>
 Implement and optimize LLM-based systems, including RAG pipelines, prompt engineering, and model integration.
 </li>
 <li>
 Collaborate with AI/ML engineers to productionize models and integrate them into user-facing products.
 </li>
 <li>
 Deploy, monitor, and maintain applications using Docker and Kubernetes.
 </li>
 <li>
 Contribute to the AI Factory platform by developing reusable components, APIs, and SDKs.
 </li>
 <li>
 Ensure software quality through testing, CI/CD pipelines, and DevOps best practices.
 
 
 </li>
 </ul>
 Stay updated on the latest trends in
 
 AI/ML
 
 ,
 
 Generative AI
 
 , and
 
 LLM frameworks
 
 (LangChain, LlamaIndex, etc.)
 
 
 
 About You
 
 
 
 
 Required Qualifications
 
 
 
 <ul>
 <li>
 7+ years of professional experience as a Software Engineer.
 </li>
 <li>
 Strong leadership skills
 </li>
 <li>
 Strong full-stack development skills:
 </li>
 <li>
 Proven experience building AI-driven applications, especially with LLMs, Generative AI, or RAG systems.
 </li>
 <li>
 Hands-on experience with containerization and orchestration tools (Docker, Kubernetes).
 </li>
 <li>
 Familiarity with cloud platforms (AWS, Azure, or GCP) and CI/CD pipelines.
 </li>
 <li>
 Solid understanding of RESTful APIs, microservices, and system design.
 </li>
 <li>
 Strong problem-solving skills, with a collaborative and pragmatic mindset.
 
 
 </li>
 </ul>
 
 Preferred Qualifications
 
 
 
 <ul>
 <li>
 Experience with LangChain, LlamaIndex, or similar LLM frameworks.
 </li>
 <li>
 Knowledge of vector databases (e.g., PostgreSql, Pinecone, Weaviate, FAISS).
 </li>
 <li>
 Exposure to MLOps and AI model lifecycle management.
 </li>
 <li>
 Familiarity with prompt engineering and AI agent frameworks.
 </li>
 <li>
 Experience building internal tools or platforms for cross-functional teams.
 
 
 </li>
 </ul>
 You bring passion, energy, taste for exploration and adaptability. You seek the opportunity to expand your knowledge and develop new skills.
 
 
 
 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>

Senior Full Stack AI Software Engineer

Sana Commerce

<div>
 
 What started in 2007 with a pizza and a plan has grown into a fast-moving SaaS company empowering manufacturers, distributors, and wholesalers to thrive in complex B2B commerce.
 
 
 
 
 Our mission is simple: help businesses build stronger relationships through seamless digital commerce.
 
 
 
 
 At Sana Commerce, you&rsquo;ll join a team that&rsquo;s bold, growth-oriented, and customer-obsessed, where every engineer has real ownership and impact.
 
 
 
 
 
 About the role
 
 
 
 
 
 We&rsquo;re looking for a Senior Full Stack Software Engineer who can help us build a high performance, scalable e-commerce platform.
 
 
 
 
 You will be playing a critical role in expanding our product at speed, while building features that help our customers grow, and contributing to our initiative of bringing engineering excellence to a new level.
 
 
 
 
 
 
 Job Description
 
 
 
 
 
 What you'll be doing
 
 
 
 
 <ul>
 <li>
 Design and develop robust, scalable, and high-performance software systems using C#, .NET, TypeScript (ES6), React.js, Redux, RxJS, Webpack, and GraphQL
 </li>
 <li>
 Collaborate with a cross-functional team to define, design, and ship new features
 </li>
 <li>
 Lead the system design, testing and coding standards efforts, contributing with clean &amp; high-performance code and architecture
 </li>
 <li>
 Implement modern best practices and patterns in software engineering
 </li>
 <li>
 Mentor software engineers
 </li>
 <li>
 Conduct code reviews and ensure coding standards, best practices, and security guidelines are implemented
 </li>
 <li>
 Troubleshoot, debug, and upgrade existing software
 </li>
 <li>
 Stay up to date with emerging trends and technologies in software development to continuously improve our products and processes
 
 
 </li>
 </ul>
 
 Qualifications
 
 
 
 
 
 
 What you'll bring:
 
 
 
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Engineering
 </li>
 <li>
 5+ years of experience in software development, with a strong background in web development using C#, .NET and React
 </li>
 <li>
 You have a strong engineering mindset and experience in having end to end ownership of the software you build (DevOps, testing, system design, observability, git version control)
 </li>
 <li>
 You have solid experience with reactive programming principles and flux architecture
 </li>
 <li>
 You have designed scalable, complex systems based on services-oriented architecture, on cloud (Azure Cloud preferred) and you are familiar with event driven architecture and domain driven design
 </li>
 <li>
 You have a strong drive to continuously improve your craft
 </li>
 <li>
 You have a passion for mentoring and guiding team members
 </li>
 <li>
 You&rsquo;ve fully embraced generative AI tools, and you&rsquo;ve found your way using AI to help you be a high-performing engineer, deliver faster and at a higher quality
 </li>
 <li>
 You are experienced in working in an agile environment
 </li>
 <li>
 You have excellent problem-solving skills
 </li>
 <li>
 Your communication and teamwork skills enable you to effectively collaborate with cross-functional teams and find solutions to new challenges
 </li>
 </ul>
 
 
 Why you&rsquo;ll love working here
 
 
 
 
 <ul>
 <li>
 Impact from day one &ndash; Join a scale-up where your ideas shape how global businesses operate online.
 </li>
 <li>
 Continuous learning &ndash; Access a structured onboarding rated 9.1/10 by previous hires, mentorship, and feedback culture.
 </li>
 <li>
 Hybrid flexibility &ndash;
 
 Work from our Alexandria office 3 days per week
 
 and from home 2 days.
 </li>
 <li>
 Career growth &ndash; Expand your technical and leadership scope in a company built for long-term success.
 </li>
 </ul>
 
 
 Our values
 
 
 
 
 
 At Sana Commerce, our values drive everything we do:
 
 
 
 <ul>
 <li>
 Champions of Our League &ndash;
 
 We deliver lasting success, balancing quick wins and long-term value
 
 </li>
 <li>
 Supercharge Our Customers &ndash;
 
 We&rsquo;re revolutionizing B2B commerce together, helping our customers to lead and succeed.
 
 </li>
 <li>
 Determined to Grow &ndash;
 
 We embrace challenges, growing and raising the bar for ourselves and our industry.
 
 </li>
 <li>
 Bold Together &ndash;
 
 We dare to be bold because we have each other&rsquo;s back.
 
 </li>
 </ul>
 
 
 Ready to build reliability that scales?
 
 
 
 
 
 Apply now and help shape the foundation of our next-generation SaaS platform.
 
 
 
 
 
 
 Additional Information
 
 
 
 
 
 
 
 
 
 
 
</div>

Senior Full Stack Software Engineer - Alexandria

Henkel

<div>
 
 About this Position
 
 The Data Engineer supports the development and operation of Henkel&rsquo;s enterprise metadata platform, DataHub. The role focuses on building scalable data engineering and governance solutions that connect key enterprise platforms into one centralized ecosystem serving global data consumers.
 
 
 As part of a hands-on engineering environment, the position contributes to data quality, automation, and cloud-based capabilities that strengthen how data is discovered, understood, and trusted across Henkel.
 
 
 
 What You&acute;ll Do
 
 
 
 <ul>
 <li>
 Build and maintain scheduled metadata ingestion pipelines integrating platforms such as Databricks Unity Catalog, Power BI, SAP, and Azure Synapse into DataHub
 </li>
 <li>
 Support and enhance governance automation solutions covering dataset compliance, ownership, descriptions, lineage, and automated tagging
 </li>
 <li>
 Develop and improve data quality and completeness scoring capabilities across the enterprise data landscape
 </li>
 <li>
 Work directly with DataHub SDKs, REST APIs, and GraphQL APIs to support metadata operations and integrations
 </li>
 <li>
 Contribute to AI-enabled metadata access capabilities supporting intelligent assistants and modern AI solutions
 </li>
 <li>
 Build and maintain data lineage between source systems and downstream consumers
 </li>
 <li>
 Develop scalable cloud-native solutions running on Azure Kubernetes Service (AKS)
 </li>
 <li>
 Collaborate with global and cross-functional teams to support scalable and reliable enterprise data solutions
 </li>
 <li>
 Support engineering best practices including testing, monitoring, and continuous platform enhancements
 
 
 </li>
 </ul>
 
 What makes you a good fit
 
 
 
 <ul>
 <li>
 </li>
 <li>
 Strong experience with Python and SQL, including working with analytical databases such as PostgreSQL or Databricks
 </li>
 <li>
 Experience building and maintaining scalable and scheduled data pipelines, including automation, error handling, and reliability practices
 </li>
 <li>
 Understanding of REST APIs, GraphQL, and system integrations
 </li>
 <li>
 Experience with cloud platforms and services, preferably Microsoft Azure and Databricks
 </li>
 <li>
 Familiarity with containerization technologies and Kubernetes-based environments
 </li>
 <li>
 Experience with metadata platforms or data governance solutions such as DataHub or similar tools is considered a plus
 </li>
 <li>
 Familiarity with CI/CD pipelines, infrastructure automation, and modern engineering practices is an advantage
 </li>
 <li>
 Strong analytical, problem-solving, and communication skills
 </li>
 <li>
 Ability to work independently and collaborate effectively with technical and non-technical stakeholders
 </li>
 <li>
 Passion for data quality, governance, automation, and scalable engineering solutions
 </li>
 <li>
 Comfortable working with modern technologies, open-source solutions, and continuously learning new concepts and tools
 
 
 </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>
 Global 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 Programme provides a wide range of mental health and wellbeing benefits
 
 
 </li>
 </ul>
 At Henkel, we come from a broad range of backgrounds, perspectives, and life experiences. We believe the uniqueness of all our employees is the power in us. Become part of the team and bring your uniqueness to us! We look for a diverse team of individuals who possess different backgrounds, experiences, personalities and mindsets.
</div>

Data Engineer

Storm Ideas

<ul><li>Up to EUR 25,000 per year, on a full-time, permanent employment contract</li><li>Fully remote working from anywhere in Egypt!</li><li>33 Days Paid Leave and Benefits</li><li>Working with globally recognisable brands in US Entertainment</li><li>High-end, fast computer</li><li>All the latest software and productivity tools you&rsquo;ll need</li></ul>About the Role We are hiring a manager to relentlessly drive Storm's AI tooling operations forward. This role sits within our AI Operations team and is focused on the operational management of the AI tools, AI platforms, and AI-enabled workflows used across the business. It is a high-accountability operating role focused on AI tooling operations, AI platform reliability, and the technical standards that keep Storm's AI stack running well.AI is moving relentlessly. We need someone who can stay on top of that pace, understand what is changing in the AI tooling landscape, decide what matters for Storm's AI stack, and continuously adapt how our AI tools are configured, run, and used as platforms, costs, risks, and capabilities shift.A significant part of this role is making sure AI tooling is configured well, used correctly, and operationally reliable. You will work with teams that use AI tools day-to-day, understand where AI tooling is causing friction, identify the practical technical levers that will improve how those tools perform, and follow through on the detailed, sometimes tedious operational work that makes an AI stack dependable.This role is for someone who wants real responsibility for the operational quality of our AI tooling. You will be expected to bring order to messy AI tooling operations, push through technical improvements, and keep Storm in control of fast-moving AI platform developments rather than reacting too late to them. Strong organisation and judgment are not enough on their own; the role requires practical technical judgment on AI platforms and tooling.If you are looking for a predictable maintenance role, this is not it.About Storm Ideas Founded in 2008, Storm Ideas is an international team working with globally recognised clients, particularly across the US TV and entertainment industry.Our work sits at the intersection of media, technology, creativity, and operations. We build products, produce content at scale, design smarter ways for clients and internal teams to work, and keep looking for new ways to improve how the company operates.We are a remote-first, fast-moving company with established clients, a growing team, and a strong appetite for better tools, better systems, and better ways of working.We are an AI-native agency and AI tooling is central to how our teams work. The AI Operations team exists to keep that tooling reliable, well-configured, and well-run. This role sits within that team and is focused on driving the operational quality of our AI stack.What You Will Do<ul><li>Take operational ownership of the configuration, reliability, and technical standards of Storm's AI tools and AI platforms</li><li>Lead the AI Operations team's technical response when AI tools, platforms, or underlying capabilities change</li><li>Set and uphold technical operational standards for AI tooling within the AI Operations team's remit</li><li>Improve visibility around AI tool configuration, AI platform usage, AI tool access administration, and AI platform operational performance</li><li>Identify weak, unstable, or high-friction AI tooling operations, develop technical solutions and drive them to be durable and scalable</li><li>Give leadership clearer visibility on where the AI tooling stack is performing reliably, where it is fragile, and what AI platform or tooling changes are needed next</li></ul>What We Are Looking For<ul><li>Demonstrable experience in the operational management of technical platforms, specifically AI tools or AI platforms</li><li>High agency and strong ownership of technical operational outcomes</li><li>Sound decision-making under ambiguity and pace</li><li>Ability to prioritise hard trade-offs on a technical platform stack and act decisively</li><li>Ability to drive technical operational improvements to completion, not just propose them</li><li>Clear, direct technical communication and the confidence to hold technical standards</li><li>Genuine command of AI tools and AI platforms, and a strong instinct for how fast the AI tooling environment is moving</li><li>Strong technical aptitude on AI platforms specifically: LLM platform configuration, prompt and agent configuration, AI tool APIs and integrations, AI tool permissions, AI-related automation, and AI workflow dependencies</li><li>Sound judgment about when to act, when to ask, and how to translate between user needs and AI platform realities</li><li>Energy, discipline, and follow-through to operate at sustained pace</li></ul>What Success Looks Like<ul><li>You do not wait to be assigned problems; you find weak spots in how Storm's AI tooling stack is running, propose technical solutions, and drive them through.</li><li>You can look across a changing AI platform landscape, identify what matters operationally for Storm's AI stack, decide what needs to adapt technically, and then drive that change through to real operational improvement.</li><li>You do not just keep work moving. You make Storm's AI tooling stack materially better at running.</li><li>You take responsibility for AI tooling operational outcomes. You do not wait for perfect clarity, and you do not let the AI stack drift.</li></ul>This Role Will Suit You If<ul><li>You want to operate where change is fast, technical standards are high, and the work matters</li><li>You like turning messy AI tooling operations into controlled, repeatable technical operations</li><li>You are comfortable being judged on AI platform operational outcomes, not just effort or intent</li><li>You can combine practical technical execution with strong judgment on AI platforms</li><li>You are motivated by making a company's AI tooling stack materially better at running</li></ul>What It's Like To Work HereModern Tech Stack We use current tools, hardware, and working methods across our teams, and this role is responsible for the operational quality of the AI tooling part of that stack.Agility and Openness for Ideas We actively encourage people to bring forward ideas that improve how AI tools are configured and run. Operating with the agility of a growing company, alongside the support of an established organisation, means we value quick decision-making, practical experimentation, and clear follow-through.Team-based This role sits within the existing AI Operations team and is accountable for a defined part of the AI tooling stack. You will contribute to team priorities within that remit.Flexibility Storm is a remote-first company and this role is fully remote within Egypt. We care about outcomes, communication, and availability, not where you sit.Recruitment Process<ul><li>Online video interview (short recorded answers to role-relevant questions)</li><li>Follow-up technical exercise (compensated) designed to test skills relevant to this position</li><li>Interview and exercise review with the hiring manager</li><li>Final interview with Louise (CEO)</li></ul>Work Location: Remote

AI Operations Manager

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