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oracle data conversion lead- associate manager Jobs in Cairo

data architect

SDG Group Middle East

<div>
 
 
 Responsibilities
 
 
 <ul>
 <li>
 
 End-to-End Solutions:
 
 You will design and develop end-to-end solutions for processing large data volumes, spanning from the initial business problem to scalable and optimized ETL/ELT pipelines.
 </li>
 <li>
 
 Tech Stack:
 
 You will work with technologies such as
 
 Databricks, Snowflake, dbt, and Microsoft Fabric
 
 , using
 
 Spark (Python/Scala)
 
 ,
 
 SQL
 
 ; and orchestration with
 
 Airflow, Data Factory
 
 or similar tools.
 </li>
 <li>
 
 Advanced Architectures:
 
 You will help to define and implement advanced architectures under the
 
 Data Lakehouse and Data Warehouse
 
 paradigms, supporting diverse data processing patterns including
 
 Batch, Near Real Time, and Streaming
 
 .
 </li>
 <li>
 
 Data Integration:
 
 You will develop
 
 data ingestion and transformation pipelines
 
 from diverse sources (APIs, files, databases, streaming), to build analytical data models supporting business use cases.
 </li>
 <li>
 
 Platform Foundation
 
 : You will collaborate in the implementation of frameworks and engines that provide a standard framework for the main functions of a data platform:
 
 Orchestration, Ingestion, Transformation, Quality, Security, Testing, Deployment, Observability
 
 , among others.
 </li>
 <li>
 
 Collaboration:
 
 You will collaborate with multidisciplinary teams and stakeholders, translating complex requirements into efficient technical solutions.
 </li>
 <li>
 
 Continuous Learning:
 
 You will stay up to date with the latest technological trends&mdash;especially in Data &amp; Analytics&mdash;through continuous training and the exploration of new tools and innovations.
 </li>
 <li>
 
 Career Path
 
 : You will be in control of your professional development together with your managers. SDG Group will give you the opportunity to build a professional career oriented to become a Data Architect in a world-class organization.
 </li>
 </ul>
 
 
 
 
 
 
 
 
 Requirement
 
 
 <ul>
 <li>
 
 Education
 
 : Degree in Computer Engineering or Computer Science. It&rsquo;s a plus to have a Master&rsquo;s Degree in any Data-related field
 </li>
 <li>
 
 Languages
 
 : English C1 level or higher
 </li>
 <li>
 
 Experience
 
 :
 
 2-3 year
 
 s of experience in
 
 Data Lake and/or Data Warehous
 
 e projects
 </li>
 <li>
 
 ETL/ELT
 
 : Experience on data integration with
 
 Spark (Python or Scala) and/or SQ
 
 L and
 
 dimensional data modelin
 
 g
 </li>
 <li>
 
 Cloud
 
 : Experience working in Cloud environments
 
 (AWS, GCP, or Azur
 
 e) and platforms
 
 (Databricks, Snowflake, Microsoft Fabri
 
 c)
 </li>
 <li>
 
 Code Management &amp; DataOps
 
 : Solid understanding of Git, CI/CD, pipeline monitoring, data quality control, and data versioning
 </li>
 <li>
 
 Consulting Background
 
 : Previous experience in consulting is a plus
 </li>
 </ul>
 
 
 
 
 .
 
</div>

Data Engineer Architect

Coca-Cola HBC

<div>
 
 
 Department:
 
 Data Insights &amp; Artificial Intelligence, Digital &amp; Technology Platform Services
 
 
 
 
 
 We are seeking a visionary Senior Data Modeler to architect the backbone of our next-generation AI ecosystem. In this role, you will move beyond legacy ETL patterns to build a Hub-and-Spoke data architecture that prioritizes interoperability and "AI-readiness." The ideal candidate will be part of our enterprise insights and transformation agenda, helping translate fragmented knowledge assets across source systems, such as ERP, CRM, PLM, PIM/MDM, LIMS, Regulatory, DAM, and SCM, into trusted, reusable, and governed context packs for Agentic AI use cases.
 
 
 
 
 
 
 YOUR NEW KEY RESPONSIBILITIES:
 
 
 <ul>
 <li>
 Architecture &amp; Design (Hub-and-Spoke)
 </li>
 <li>
 Design and implement a robust Hub-and-Spoke data model (e.g., Data Vault 2.0 or specialized Star Schema) to decouple core business entities from source-specific attributes.
 </li>
 <li>
 Establish "Golden Records" within the Hub to ensure a single version of truth for master data (Customer, Product, Asset).
 </li>
 <li>
 Standardize "Spoke" delivery layers to provide high-performance, domain-specific data marts for downstream AI/ML consumption. Design data structures for event-based, streaming integration patterns including structured and unstructured data.
 </li>
 <li>
 Semantic Intelligence &amp; Ontology
 </li>
 <li>
 Develop and maintain the Semantic Layer to abstract complex SQL logic into business-friendly terms.
 </li>
 <li>
 Map data relationships into an Ontology/Knowledge Graph format to support RAG (Retrieval-Augmented Generation) and AI reasoning.
 </li>
 <li>
 Define the logic for metrics, attributes, and hierarchies once, ensuring consistency across all AI agents and BI tools.
 </li>
 <li>
 Data Cataloguing &amp; Discovery
 </li>
 <li>
 Integrate data models with an Enterprise Data Catalog (e.g., Atlan, Purview).
 </li>
 <li>
 Automate metadata harvesting to ensure the catalog reflects real-time lineage, quality scores, and ownership.
 </li>
 <li>
 Tag data with semantic descriptors to enable AI-driven "natural language to SQL" capabilities.
 </li>
 <li>
 AI Readiness &amp; Governance
 </li>
 <li>
 Structure data to support feature stores and vector databases.
 </li>
 <li>
 Collaborate with Data Engineers to ensure "Data-as-a-Product" delivery standards.
 </li>
 <li>
 Enforce strict interoperable data modeling standards that prioritize data quality, privacy, and auditability.
 </li>
 <li>
 Lead Community of Practice for Data Modelling and drive continuous improvement.
 </li>
 </ul>
 
 
 
 
 
 ARE THESE YOUR SECRET INGREDIENTS?
 
 
 <ul>
 <li>
 BSc or MSc in relevant fields such as Computer Science, Information Science, Data Science, Artificial Intelligence, Knowledge Engineering, Computational Linguistics, or related discipline.
 </li>
 <li>
 2+ experience in Data Architecture, Semantic Architecture, Knowledge Architecture, Data Integration and Metadata Management.
 </li>
 <li>
 Data Vault 2.0, Dimensional Modeling (Kimball), 3NF, Strong understanding of one or more of the following: Knowledge Models, knowledge graphs, metadata storage, versioning, tagging and modelling.
 </li>
 <li>
 Experience with automated metadata management and line9age tools.
 </li>
 <li>
 Advanced SQL, Python (for metadata automation) / PySpark, and SPARQL/Cypher.
 </li>
 <li>
 Hands-on experience designing data architecture patterns to support RAG pipelines, prompt / grounding patterns, context orchestration and memory management. Understanding of how structured data feeds into Vector DBs and LLM contexts.
 </li>
 <li>
 Systems Thinking: Ability to see the "Big Picture" and how one change impacts the entire network.
 </li>
 <li>
 A definite advantage would be a passion for naming conventions and definitions&mdash;if the AI doesn't understand the column name, neither will the user.
 </li>
 <li>
 Acting as the bridge between the "Data Producers" (Engineers) and "Data Consumers" (Data Scientists).
 </li>
 <li>
 Experience with relevant technologies such as graph databases, vector / search platforms, semantic web technologies, event-based streaming platforms, and cloud AI / data ecosystems.
 </li>
 <li>
 Exposure to tools such as Databricks, Snowflake, Fabric, DBT, Looker, AtScale, Cube, Lakehouse, DeltaLake, Neo4j, Stardog, Ontotext GraphDB, Azure ecosystem, Kafka or equivalent streaming technology.
 </li>
 <li>
 Experience working with enterprise knowledge and data domains such as PLM, PIM / MDM, LIMS, Regulatory, DAM, ERP, SCM, or other structured and unstructured business data sources.
 </li>
 <li>
 Strong influencing, interpersonal, and communication skills, with the ability to work effectively across Data, AI, Technology, and business functions. Experience presenting solutions, trade-offs, and recommendations to senior management and technical leadership teams.
 </li>
 </ul>
 
 
 
 
 
 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.
 
 
 
 
 
 
 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>

Senior Data Modeler

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)

Integrant, Inc.

<div>
 
 We're on the lookout for exceptional individuals to join our team as
 
 Principal Data Engineers
 
 . As a part of our team, you'll be driving change and making a significant impact in the gaming industry.
 
 <ul>
 <li>
 Lead the design, development, and maintenance of end-to-end data analytical solutions using Microsoft on-premises and cloud technologies.
 </li>
 <li>
 Engage in collaborative requirement elicitation activities with our valued clientele.
 </li>
 <li>
 Mentor and guide junior team members in the field of data engineering.
 </li>
 <li>
 Showcase your expertise by delivering innovative analytical solutions to our clients and contributing to knowledge transfer within the organization.
 </li>
 
 
 </ul>
 
 Requirements
 
 
 
 <ul>
 <li>
 6+ years of experience as a data engineer.
 </li>
 <li>
 Familiarity with analytical architectures including Data Warehouses, Data Lakes and Data Lakehouses.
 </li>
 <li>
 Knowledge of Microsoft relational engines available - both on-premises (MS SQL Server) and on the cloud (Azure SQL, Azure Synapse Analytics Dedicated Pools).
 </li>
 <li>
 Knowledge of query and workload optimization.
 </li>
 <li>
 Knowledge of administrating and managing analytical solutions both on premises and on the cloud.
 </li>
 <li>
 Knowledge of NoSQL offerings on Azure (e.g. CosmosDB).
 </li>
 <li>
 Knowledge of setting up Data Lakes on ADLS gen 2 and Azure Synapse Analytics.
 </li>
 <li>
 Knowledge of using SSIS and Azure Data Factory to set up ETL jobs.
 </li>
 <li>
 Knowledge of setting up OLAP solutions using SSAS.
 </li>
 <li>
 Familiarity with Azure Data Catalog to manage data lake metadata.
 </li>
 <li>
 Knowledge of governance over Azure based analytical solutions including using tools such as Purview, Active Directory, Key Vault, Azure DevOps, etc.
 </li>
 <li>
 Knowledge of using Azure Stream Analytics to capture and analyze data in real time.
 </li>
 <li>
 Knowledge of setting up data warehouse solutions both on-premises (using MS SQL Server) and on the cloud (using Azure Synapse Analytics).
 </li>
 <li>
 Knowledge of Dimensional Modeling (Dimensions, Facts, Slowly Changing Dimensions, Outriggers, Role Playing Dimensions, Junk Dimensions, Degenerate Dimensions, Multi-valued Dimensions, Transactional Facts, Periodic Snapshot Facts and Accumulating Snapshot Facts).
 </li>
 <li>
 Knowledge of implementing common ETL patterns to support data warehouse workloads.
 </li>
 <li>
 Knowledge of using U-SQL, PolyBase and Azure Data Lake Analytics to perform federated querying.
 </li>
 <li>
 Knowledge of PowerBI.
 </li>
 <li>
 Familiarity with SSRS.
 </li>
 <li>
 
 Snowflake Experience:
 
 Experience with Snowflake is required.
 </li>
 </ul>
 
 Nice to Have:
 
 <ul>
 <li>
 An MSc in Computer Science or other relevant field.
 </li>
 <li>
 Familiarity with Azure Databricks.
 </li>
 <li>
 Familiarity with DataOps
 </li>
 <li>
 Familiarity with Azure Cognitive Services.
 </li>
 <li>
 Familiarity with Azure ML.
 </li>
 <li>
 Familiarity with MLOps.
 </li>
 <li>
 Familiarity of containerization tools and frameworks (Docker, Kubernetes, etc.)
 </li>
 <li>
 Familiarity with Azure HD Insight.
 </li>
 <li>
 Familiarity with the Hadoop ecosystems, including tools like Hive, Spark and Kafka.
 </li>
 <li>
 Familiarity with Azure Functions to perform lightweight transformations.
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 <ul>
 <li>
 Salary paid in USD
 </li>
 <li>
 Six-month career advancing opportunities
 </li>
 <li>
 Supportive and friendly work environment
 </li>
 <li>
 Premium medical insurance [employee +family]
 </li>
 <li>
 English language development courses
 </li>
 <li>
 Interest-free loans paid over 2.5 years
 </li>
 <li>
 Technical development courses
 </li>
 <li>
 Planned overtime program (POP)
 </li>
 <li>
 Employment referral program
 </li>
 <li>
 Premium location in Maadi
 </li>
 <li>
 Social insurance
 </li>
 </ul>
</div>

Principal Data Engineer

NOK Human Capital

<div>
 
 
 About NOK HC
 
 
 
 NOK Human Capital is a leading HR consulting and talent acquisition firm with a global footprint and a proven track record of supporting Fortune 500 clients. We specialize in connecting top-tier talent with industry leaders, driving innovation, and fostering high-performance cultures across the MENA region and beyond.
 
 
 
 
 
 
 Job Title
 
 
 
 
 AI &amp; Data Automation Engineer
 
 
 
 
 
 
 
 Job Summary
 
 
 
 We are looking for a skilled
 
 AI &amp; Data Automation Engineer
 
 to design and build intelligent automation and analytics solutions. In this role, you will develop AI-powered workflows, scalable data pipelines, and interactive analytics applications to enhance decision-making and eliminate manual processes. You will work closely with cross-functional teams to translate business needs into efficient, data-driven solutions and enable self-service analytics across the organization.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Design and build AI-powered workflows and automation solutions to enhance business processes
 </li>
 <li>
 Develop scalable data pipelines for data ingestion, transformation, validation, and publishing
 </li>
 <li>
 Build and deploy AI/ML and LLM-based use cases such as classification, anomaly detection, and insight generation
 </li>
 <li>
 Create interactive, web-based analytics applications to support business and operational decision-making
 </li>
 <li>
 Integrate backend systems, APIs, and data layers to enable self-serve analytics platforms
 </li>
 <li>
 Replace manual reporting and static dashboards with automated, application-based solutions
 </li>
 <li>
 Ensure data quality, consistency, and scalability across data models and analytics systems
 </li>
 <li>
 Collaborate with cross-functional teams to translate business needs into technical solutions
 </li>
 <li>
 Enable data-driven decision-making by delivering actionable insights and scalable data products
 </li>
 </ul>
 
 
 
 
 
 Qualifications
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, Software Engineering, or a related field
 </li>
 <li>
 2&ndash;4 years of experience in software engineering, data engineering, automation, or AI/ML roles
 </li>
 <li>
 Strong proficiency in Python, with hands-on experience building production-grade pipelines and automation systems
 </li>
 <li>
 Solid SQL skills with experience handling large-scale datasets
 </li>
 <li>
 Experience or exposure to AI/ML concepts, including LLMs, prompt engineering, or AI-powered workflows
 </li>
 <li>
 Familiarity with cloud platforms, preferably AWS (e.g., Lambda, Step Functions, Glue, S3, Bedrock, SageMaker)
 </li>
 <li>
 Experience building data pipelines or scheduled/event-driven workflows (e.g., Airflow, cron)
 </li>
 <li>
 Exposure to frontend technologies (e.g., React) is a plus
 </li>
 <li>
 Familiarity with data warehouses and distributed systems (e.g., Redshift, Athena, Spark)
 </li>
 <li>
 Strong problem-solving skills with the ability to translate business needs into technical solutions
 </li>
 <li>
 Ability to work independently and deliver end-to-end solutions
 </li>
 <li>
 Excellent communication skills in English (written and spoken)
 </li>
 </ul>
 
 
 
 
 
 Work Conditions
 
 
 <ul>
 <li>
 Location: New Cairo
 </li>
 <li>
 Work Type: Onsite
 </li>
 </ul>
</div>

AI Data Engineer

Talent 360 ME

<div>
 
 Wind Integrated Solutions, Oracle Partner
 
 
 in Egypt, KSA &amp; UAE
 
 is looking for "AI &amp; Data Engineer " with a strong foundation in data manipulation, machine learning, and natural language processing (NLP).
 
 
 Wind Integrated Solutions is Software Development Company that provides technology services, business automation, and business digitalization.
 
 
 
 Job Requirements:
 
 
 
 <ul>
 <li>
 BSc in Computer Science, Engineering or relevant field.
 </li>
 <li>
 2-4 years of hands-on experience in data engineering, data architecture, or AI/ML presales.
 </li>
 <li>
 Understanding of modern data stack: data warehouses, data lakes, ETL/ELT pipelines, data governance
 </li>
 <li>
 Familier with data services (Azure Data Factory, Synapse, Microsoft Fabric, Purview or similar )
 </li>
 <li>
 Familiarity with AI/ML concepts and practical applications in enterprise settings
 </li>
 <li>
 Experience creating data architecture diagrams and technical documentation
 </li>
 <li>
 Excellent presentation and storytelling skills, capable of translating technical concepts for executive audiences
 </li>
 <li>
 English and Arabic fluency
 
 
 
 </li>
 </ul>
 
 Required Skills:
 
 
 
 <ul>
 <li>
 Lead technical discovery and data maturity assessments with enterprise customers across Saudi Arabia and Egypt
 </li>
 <li>
 Design and present data platform architectures using modern tools (Microsoft Fabric, Azure Data Services, OpenMetadata, SQLMesh)
 </li>
 <li>
 Create compelling business cases that connect data governance and AI capabilities to measurable business outcomes
 </li>
 <li>
 Develop technical proposals, solution architectures, and pricing models for data and AI engagements
 </li>
 <li>
 Deliver demonstrations of AI agent workflows, agentic automation, and conversational data access patterns
 </li>
 <li>
 Support Microsoft co-sell motions for Azure AI, Microsoft Fabric, and Copilot-related opportunities
 </li>
 <li>
 Collaborate with the Product Developer to align presales demonstrations with current product capabilities
 </li>
 <li>
 Contribute to thought leadership content: whitepapers, case studies, and technical blog posts
 </li>
 <li>
 Track competitive landscape across data governance and AI platforms (Informatica, Collibra, Databricks, Coalesce)
 
 
 
 </li>
 </ul>
 
 Company Industry
 
 : Information Technology Services
 
 
 
 Company website:
 
 https://www.wind-is.com
 
 
 
 Location:
 
 Maadi - Cairo
 
 
 
 Working Hours:
 
 9:00 AM to 5:00 PM.
 
 
 
 Working Days:
 
 From Sun to Thu.
 
 
 
 Benefits:
 
 Attractive salary - Social &amp; Medical insurance - Friendly Environment - Learning &amp; Development Opportunities - Other benefits
 
 
 Apply now to drive innovation and growth with our dynamic team!
</div>

Midlevel AI & Data Engineer

Imdad

<div>
 <ul>
 <li>
 Lead the end-to-end technical design and delivery of Salesforce solutions, including custom development, integrations, and platform configurations.
 </li>
 <li>
 Architect scalable solutions across Salesforce clouds (Sales Cloud, Service Cloud, Experience Cloud, etc.) aligned with best practices.
 </li>
 <li>
 Translate business requirements into technical specifications, data models, and solution designs.
 </li>
 <li>
 Develop and review Apex classes, triggers, Lightning Web Components (LWC), Visualforce pages, and Flows.
 </li>
 <li>
 Own the technical governance of the Salesforce org &mdash; managing code quality, release management, and deployment pipelines (CI/CD).
 </li>
 <li>
 Lead and mentor a team of Salesforce developers and administrators, conducting code reviews and providing technical guidance.
 </li>
 <li>
 Design and implement integrations with third-party systems using REST/SOAP APIs, middleware platforms (e.g., Jitterbit), and platform events.
 </li>
 <li>
 Collaborate with Business Analysts and Product Owners to align technical solutions with business goals.
 </li>
 <li>
 Manage and mitigate technical risks, proactively identifying issues and recommending solutions.
 </li>
 <li>
 Stay current with Salesforce releases, new features, and emerging best practices, and assess their impact on the platform.
 </li>
 <li>
 Ensure compliance with security, data governance, and regulatory requirements within the Salesforce environment.
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 
 Minimum Qualifications:
 
 
 <ul>
 <ul>
 <li>
 8+ years of hands-on Salesforce development experience, with at least 2 years in a technical lead or senior role.
 </li>
 <li>
 Deep expertise in Apex, LWC, SOQL/SOSL, Visualforce, and Salesforce APIs.
 </li>
 <li>
 Strong experience with Salesforce declarative tools &mdash; Flows, Process Builder, Validation Rules, and Custom Metadata.
 </li>
 <li>
 Proven experience designing and building integrations with external systems using REST/SOAP APIs and event-driven architecture.
 </li>
 <li>
 Solid understanding of Salesforce data modelling, security model (profiles, permission sets, sharing rules), and governor limits.
 </li>
 <li>
 Experience with DevOps tools and CI/CD pipelines (e.g., Salesforce DX, Git, Copado, Gearset, or similar).
 </li>
 <li>
 Familiarity with Agile/Scrum delivery methodologies.
 
 </li>
 </ul>
 </ul>
 
 
 Certifications (Required / Preferred)
 
 
 <ul>
 <li>
 
 Required:
 
 Salesforce Platform Developer I
 </li>
 <li>
 
 Preferred:
 
 Salesforce Platform Developer II, Salesforce Application Architect, System Architect
 
 </li>
 </ul>
 
 
 Required Skills:
 
 
 <ul>
 <li>
 Strong leadership and team mentoring capabilities.
 </li>
 <li>
 Excellent communication skills &mdash; able to convey complex technical concepts to non-technical stakeholders.
 </li>
 <li>
 Analytical mindset with strong problem-solving and decision-making abilities.
 </li>
 <li>
 Ability to manage multiple priorities and deliver in a fast-paced environment.
 
 </li>
 </ul>
 
 
 Preferable Skills:
 
 
 <ul>
 <li>
 Experience in large-scale Salesforce org transformations or migrations.
 </li>
 <li>
 Proficiency with
 
 dbt
 
 &nbsp;for data transformation and modelling.
 </li>
 <li>
 Hands-on experience with data orchestration and data pipeline tools.
 </li>
 <li>
 Experience with
 
 Tableau
 
 for data visualisation and reporting.
 
 </li>
 </ul>
</div>

SalesForce Technical Lead - Cairo

Explore 391+ Data architect in Cairo this April. Find roles across top companies and apply now to boost your career.