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data modeler

Systems Limited - Egypt

<div>
 
 
 Data Modelling (Bank)
 
 
 
 
 Location: New Cairo (On-Site)
 
 
 
 
 
 
 
 Technical Skills:
 
 
 <ul>
 <li>
 Strong knowledge of DWH and Data Modelling concepts
 </li>
 <li>
 SQL expertise for query building and data validation
 </li>
 <li>
 Experience with ETL processes and tools is a plus
 </li>
 <li>
 Understanding of data testing methodologies
 </li>
 </ul>
 
 
 
 
 
 Roles &amp; Responsibilities:
 
 
 <ul>
 <li>
 Develop and maintain conceptual, logical, and physical data models
 </li>
 <li>
 Collaborate with business analysts and developers to meet project requirements
 </li>
 <li>
 Perform data validation and testing to ensure accuracy and quality
 </li>
 <li>
 Support in performance tuning and optimization of queries and models
 </li>
 </ul>
</div>

Data Modeler

<div>
 
 
 Line of Service
 
 
 Advisory
 
 
 
 
 Industry/Sector
 
 
 Technology
 
 
 
 
 Specialism
 
 
 Advisory - Other
 
 
 
 
 Management Level
 
 
 Senior Associate
 
 
 
 
 Job Description &amp; Summary
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 
 5-7 years of experience in data modeling and data architecture.
 
 Strong knowledge of:
 
 Dimensional modeling (Kimball)
 
 Data Vault (preferred)
 
 3NF / normalized modeling
 
 Star &amp; Snowflake schemas
 
 Experience with enterprise data warehouse or lakehouse architecture.
 
 Strong SQL skills.
 
 Experience with modeling tools (ERwin, ER/Studio, PowerDesigner, or equivalent).
 
 Experience in financial services, regulatory reporting, or large-scale enterprise data environments is preferred.
 
 Knowledge of data governance frameworks (DAMA-DMBOK preferred).
 
 Strong analytical and problem-solving skills.
 
 &nbsp;
 
 
 
 
 
 
 
 Required Skills
 
 
 
 
 
 Optional Skills
 
 
 Accepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Airflow, Apache Hadoop, Azure Data Factory, Communication, Creativity, Data Anonymization, Data Architecture, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Databricks Unified Data Analytics Platform, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline {+ 27 more}
 
 
 
 
 
 Desired Languages
 
 
 
 
 (If blank, desired languages not specified)
 
 
 
 
 
 
 Travel Requirements
 
 
 Not Specified
 
 
 
 
 Available for Work Visa Sponsorship?
 
 
 No
 
 
 
 
 Government Clearance Required?
 
 
 No
 
 
 
 
 Job Posting End Date
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
</div>

ETIC, Data Modeler, Senior Associate

geidea

<div>
 
 Established in 2008,
 
 Geidea
 
 epitomizes customer focused empowerment and commercial success through continuous innovation.
 
 
 
 Geidea
 
 makes best in class digital payment solutions available for all by attracting and leveraging the best creative &amp; entrepreneurial talent in the market
 
 
 Our solutions give any business the chance to get ahead and reach for more no matter their size or maturity.
 
 
 Our technology mirrors our people - Smart, Innovative &amp; Forward Thinking
 
 
 www.geidea.net
 
 
 
 
 
 To maintain a competitive advantage as we grow, we are currently looking for a new " Date Architect Senior Manager".
 
 
 
 
 
 
 Job purpose:
 
 
 
 A highly skilled Data Architect to design and lead the development of scalable, secure, and high-performance data platforms across the enterprise. This role is central to shaping the data ecosystem supporting our Fintech services&mdash;including real-time financial transactions, credit scoring models, regulatory reporting, and customer analytics.
 
 
 
 
 
 Data Architect will work across engineering, analytics, and product teams to build modern data infrastructure incorporating Big Data platforms, data lakes, ELT/ETL pipelines, and data warehouses. Your solutions must ensure high availability, governance, security, and performance&mdash;compliant with SAMA and other regulatory frameworks.
 
 
 
 
 
 
 Responsibilities:
 
 
 <ul>
 <li>
 
 Data Architecture Design:
 
 </li>
 <li>
 Lead the end-to-end architecture of enterprise data platforms including Data Lakes, Lakehouse, and Data Warehouses.
 </li>
 <li>
 Design and maintain canonical data models (conceptual, logical, and physical) for structured, semi-structured (JSON, XML), and unstructured data.
 </li>
 <li>
 Develop architectural blueprints for hybrid and cloud-native solutions leveraging AWS, Azure, or GCP.
 </li>
 <li>
 Standardize data ingestion, transformation, and serving layers for streaming and batch use cases.
 </li>
 <li>
 
 Big Data &amp; Distributed Systems Engineering:
 
 </li>
 <li>
 Architect Big Data processing solutions using Apache Spark, Flink, Presto, Trino, or Databricks for large-scale processing of financial and behavioral data.
 </li>
 <li>
 Implement distributed file systems (e.g., HDFS, S3, ADLS) and optimize file formats like Parquet, ORC, and Avro.
 </li>
 <li>
 Ensure scalable compute using EMR, Dataproc, or AKS/Kubernetes-based platforms.
 </li>
 <li>
 
 Data Lakes and Lakehouse Architecture:
 
 </li>
 <li>
 Design and operationalize data lakes as central repositories for raw and curated data assets.
 </li>
 <li>
 Build Delta Lake, Apache Hudi, or Iceberg-based architectures to support ACID transactions, schema evolution, and time travel.
 </li>
 <li>
 Define governance standards across raw, staged, curated, and analytics layers of the lake architecture.
 </li>
 <li>
 
 ELT/ETL Frameworks &amp; Pipelines:
 
 </li>
 <li>
 Develop robust ELT/ETL pipelines using tools like Apache Airflow, DBT, AWS Glue, Azure Data Factory, or Kafka Connect.
 </li>
 <li>
 Optimize data transformations for performance, reusability, and modular design (e.g., using SQL/Scala/Python).
 </li>
 <li>
 Ensure orchestration of dependencies, retries, alerting, and logging in a fully observable pipeline ecosystem.
 </li>
 <li>
 
 Data Warehousing &amp; BI Integration:
 
 </li>
 <li>
 Architect cloud-based data warehouses such as Snowflake, BigQuery, Redshift, or Synapse Analytics.
 </li>
 <li>
 Define dimensional models (Star, Snowflake), facts/dimensions, and materialized views optimized for analytics and dashboarding tools (e.g., Power BI, Tableau, Looker).
 </li>
 <li>
 Enable self-service analytics by integrating semantic layers, metadata management, and data cataloging tools.
 </li>
 <li>
 
 Security, Governance &amp; Compliance:
 
 </li>
 <li>
 Implement data encryption (at-rest/in-transit), tokenization, and row/column-level security mechanisms.
 </li>
 <li>
 Define and enforce data governance policies, including data lineage, classification, and auditing aligned with SAMA, NCA, GDPR, and internal policies.
 </li>
 <li>
 Integrate with data catalogs (e.g., Alation, DataHub, Apache Atlas) and governance tools.
 </li>
 <li>
 
 DevOps &amp; Observability:
 
 </li>
 <li>
 Support CI/CD for data pipelines and infrastructure as code using Terraform, CloudFormation, or Pulumi.
 </li>
 </ul>
 
 Implement observability practices via data quality checks, SLAs/SLIs, and monitoring tools like Prometheus, Grafana, or Datadog.
 
 
 
 
 
 
 Qualifications:
 
 
 <ul>
 <li>
 Bachelor&rsquo;s or master&rsquo;s degree in computer science, Data Engineering, or a related technical field.
 </li>
 <li>
 
 8+ years of experience
 
 in data architecture, with significant contributions to production-grade data systems.
 </li>
 <li>
 Proven track record in designing and deploying
 
 petabyte-scale data infrastructure
 
 in
 
 Fintech
 
 ,
 
 Banking
 
 , or
 
 RegTech
 
 environments.
 </li>
 </ul>
 
 
 
 
 
 Our values guide how we think and act - They describe what we care about the most
 
 
 
 
 C
 
 ustomer first - It&rsquo;s embedded in our design thinking and customer service approach
 
 
 
 O
 
 pen - Openness allows us to constantly improve and evolve
 
 
 
 R
 
 eal - No jargon and no excuses!
 
 
 
 B
 
 old - Constantly challenging ourselves and our way of thinking.
 
 
 
 R
 
 esilient &ndash; If we fail, we bounce back stronger than before.
 
 
 
 C
 
 ollaborative - We know that we can achieve a lot more as a team.
 
 
 We are changing lives by constantly striving for a better solution.
 
 
 
</div>

Data Architect Senior Manager

e& CX Solutions Egypt

<div>
 
 
 Job Summary:
 
 
 
 We are seeking a
 
 Data Governance Engineer
 
 to join our UAE Technology Offshoring Team. The Ideal candidate will be responsible for the below:
 
 
 Data Modeling with a strong understanding of data warehouse (DWH) concepts, data issues&rsquo; validation, and data mesh architecture and Star Schema
 
 
 The ideal candidate should have hands-on experience with cloud platforms like Azure and Databricks, as well as data catalogue tools.
 
 
 They should also be proficient in data quality tools and familiar with basic data engineering concepts, including data pipelines, ETL processes, and data lineage tracking.
 
 
 Additionally, this role requires strong English and communication skills, as it involves working with diverse cultures and nationalities.
 
 
 The candidate should be comfortable collaborating with cross-functional teams in an agile environment, documenting processes, and engaging with stakeholders across different domains.
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 1. Data Modelling Management:
 
 
 <ul>
 <li>
 Implement and maintain data governance frameworks, policies, and standards.
 </li>
 <li>
 Ensure high-quality data management across DWH models and data sources.
 </li>
 <li>
 Develop and execute data quality rules, validation processes, and monitoring frameworks.
 </li>
 <li>
 Identify and resolve data quality issues in collaboration with business and operation teams.
 </li>
 <li>
 Work with data quality tools to automate data validation and cleansing processes.
 </li>
 </ul>
 
 
 2. Data Warehouse (DWH) &amp; Data Modeling:
 
 
 <ul>
 <li>
 Support the design and governance of data warehouse (DWH) models based on business requirements.
 </li>
 <li>
 Ensure data consistency and integrity across structured and semi-structured datasets.
 </li>
 <li>
 Collaborate with data architects and engineers to optimize DWH performance.
 </li>
 <li>
 Work with Data Mesh architecture to enable decentralized data ownership and governance.
 </li>
 </ul>
 
 
 3. Cloud &amp; Data Engineering Concepts:
 
 
 <ul>
 <li>
 Utilize Databricks for Quality &amp; Analytics.
 </li>
 <li>
 Understand ETL (Extract, Transform, Load) and ELT concepts for data ingestion pipelines.
 </li>
 <li>
 Support the development and governance of data pipelines using tools like Databricks or Apache Spark.
 </li>
 <li>
 Implement data lineage tracking to ensure data transparency and traceability across pipelines.
 </li>
 </ul>
 
 
 4. Data Privacy &amp; Compliance:
 
 
 <ul>
 <li>
 Identification, classification, and protection of PII and sensitive data.
 </li>
 <li>
 Ensure compliance with data privacy regulations such as GDPR, CCPA, and local policies.
 </li>
 <li>
 Maintain data lineage and governance documentation.
 </li>
 </ul>
 
 
 5. Agile &amp; Squad-Based Collaboration:
 
 
 <ul>
 <li>
 Work in an agile environment using the squad model.
 </li>
 <li>
 Collaborate with cross-functional teams, including data engineers, analysts, and business stakeholders.
 </li>
 <li>
 Participate in sprint planning, backlog grooming, and agile ceremonies.
 </li>
 </ul>
 
 
 6. Communication &amp; Cross-Cultural Collaboration:
 
 
 <ul>
 <li>
 Work with teams across different cultures and nationalities to align data governance strategies.
 </li>
 <li>
 Clearly communicate technical and governance concepts to both technical and non-technical stakeholders.
 </li>
 <li>
 Facilitate discussions, workshops, and training sessions to promote data governance best practices.
 </li>
 </ul>
 
 
 
 
 
 Required Skills &amp; Qualifications:
 
 
 <ul>
 <li>
 Experience in data governance, data quality, and data modeling
 </li>
 <li>
 
 Technical Expertise:
 
 </li>
 <li>
 Strong knowledge of data governance frameworks and data quality management.
 </li>
 <li>
 Experience with data warehouse (DWH) concepts and Data Mesh architecture.
 </li>
 <li>
 Knowledge of SQL, Python, or Spark
 </li>
 <li>
 Hand-on experience in IBM Tools
 </li>
 <li>
 Experience working with data quality tools
 </li>
 <li>
 Understanding of basic data engineering concepts, including ETL processes, data pipelines, and data lineage tracking.
 </li>
 <li>
 Experience with data catalog tools ( Azure Purview).
 </li>
 <li>
 Hands - on experience in Erwin
 </li>
 </ul>
 
 
 
 <ul>
 <li>
 
 Data Privacy &amp; Compliance:
 
 </li>
 </ul>
 
 Understanding of PII identification, data classification, and regulatory compliance.
 
 <ul>
 <li>
 Agile &amp; Squad Methodology: Experience working in an agile environment with cross-functional squads.
 </li>
 <li>
 Strong English &amp; Communication Skills:
 </li>
 <li>
 Strong verbal and written communication skills to engage with technical and business stakeholders.
 </li>
 </ul>
 
 
</div>

Data Governance Engineer

Müller's Solutions

<div>
 M&uuml;ller's Solutions is actively searching for a Google Cloud Data Engineer to enhance our data processing capabilities. In this vital role, you will be responsible for designing and implementing data pipelines leveraging Google Cloud technologies. You will work closely with data analysts, business stakeholders, and other engineering teams to ensure data is accurately processed, integrated, and made available for analysis and reporting.
 
 
 
 Key Responsibilities:
 
 
 
 <ul>
 <li>
 Design, develop, and optimize data pipelines using Google Cloud Dataflow, Pub/Sub, and other GCP data services
 </li>
 <li>
 Implement data lakes and data warehouses using Google BigQuery, ensuring efficient data storage, retrieval, and processing
 </li>
 <li>
 Collaborate with data scientists and analysts to understand data requirements and provide solutions that meet business needs
 </li>
 <li>
 Monitor and evaluate data pipeline performance, implementing necessary optimizations and troubleshooting issues as they arise
 </li>
 <li>
 Ensure data quality by developing and implementing validation routines and data profiling techniques
 </li>
 <li>
 Document data architecture, ETL processes, and operational procedures to facilitate knowledge sharing within the team
 </li>
 <li>
 Stay informed of emerging trends and best practices in data engineering and GCP technologies
 </li>
 <li>
 Participate in team efforts to define and enhance data governance and management practices
 
 
 </li>
 </ul>
 
 Requirements
 
 
 
 
 Requirements:
 
 
 
 <ul>
 <li>
 Bachelor's degree in Computer Science, Information Technology, Data Science, or a related field
 </li>
 <li>
 3+ years of experience in data engineering, with a focus on Google Cloud Platform
 </li>
 <li>
 Proficient in designing and implementing data pipelines using Google Cloud Dataflow, BigQuery, and related tools
 </li>
 <li>
 Strong SQL skills and experience in data modeling and data warehousing concepts
 </li>
 <li>
 Familiarity with programming languages such as Python or Java for data processing tasks
 </li>
 <li>
 Ability to work with various data sources, including structured and unstructured data
 </li>
 <li>
 Strong analytical and problem-solving skills with attention to detail
 </li>
 <li>
 Ability to effectively communicate technical concepts to both technical and non-technical stakeholders
 
 
 </li>
 </ul>
 
 Preferred Qualifications:
 
 
 
 <ul>
 <li>
 Google Cloud certifications (e.g., Google Cloud Professional Data Engineer) are highly desirable
 </li>
 <li>
 Experience with real-time data processing using Apache Beam and Google Cloud Pub/Sub
 </li>
 <li>
 Understanding of CI/CD practices in data engineering workflows
 </li>
 <li>
 Knowledge of data visualization tools and techniques to present data insights effectively
 
 
 </li>
 </ul>
 
 Benefits
 
 
 
 1- Attractive Package.
 
 
 2- Family Benefits.
 
 
 3- Visa.
 
 
 4-Air Tickets.
</div>

Google Cloud Data Engineer

Accenture

<div>
 
 Role Overview:
 
 
 
 As an Oracle Data Loading Developer Consultant, you will design, develop, and maintain advanced data solutions to support data generation, collection, and processing. You will focus on creating efficient data pipelines, ensuring data quality, and implementing ETL processes for seamless data migration and deployment across systems. This role requires subject matter expertise, collaboration with cross-functional teams, and contributing to impactful decisions while providing innovative solutions.
 
 
 
 Key Responsibilities:
 
 
 
 
 <li>
 Design and develop robust data solutions to optimize operational efficiency.
 
 </li>
 <li>
 Build and maintain reliable data pipelines, ensuring high performance and data quality.
 
 </li>
 <li>
 Implement ETL processes for effective data migration and deployment across systems.
 
 </li>
 <li>
 Collaborate with cross-functional teams to identify and implement data-driven strategies.
 
 </li>
 <li>
 Conduct regular assessments to monitor and improve data quality.
 
 </li>
 <li>
 Stay updated with industry trends and best practices in data engineering.
 
 </li>
 <li>
 Provide solutions to complex problems within your team and across multiple teams.
 
 </li>
 <li>
 Contribute to key decisions and ensure alignment with organizational goals.
 
 </li>
 <li>
 Expert Proficiency: Oracle Data Integrator (ODI), Data Migrations, Data Access, Data Engineering, and Data Pipelines.
 
 </li>
 <li>
 Advanced Proficiency: Data Processing methodologies and tools.
 
 </li>
 <li>
 Strong problem-solving and analytical skills.
 
 </li>
 <li>
 Ability to collaborate effectively across teams and drive data-driven strategies.
 
 </li>
 <li>
 Commitment to maintaining high standards of data governance and quality assurance.
 
 
 
 </li>
</div>

Oracle Data Loading Developer-Consultant

Explore 684+ Data modeler in Cairo this March. Find roles across top companies and apply now to boost your career.

684 data modeler jobs In Cairo

Data Modeler

Data Modeler

ETIC, Data Modeler, Senior Associate

Data Architect Senior Manager

Data Governance Engineer

Google Cloud Data Engineer

Oracle Data Loading Developer-Consultant