1 month ago
Cairo, EgyptEntry Level / Mid Level
Responsibilities
- Design and build data infrastructure and systems that enable efficient data processing and analysis.
- Develop and implement data pipelines, data integration, and data transformation solutions.
- Architect, model, and implement data platforms using structured and unstructured data sources.
- Deliver enterprise data platform solutions across data warehouses, Big Data, master data management, data quality management, and data profiling.
- Implement ETL and ELT solutions, dimensional models, Data Vault models, and related data architectures.
- Design data models from conceptual through physical levels, including slowly changing dimensions and single customer views.
- Tune SQL queries and ensure solutions are scalable and maintainable.
- Support cloud infrastructure, DevOps, networking, and security elements of data platform implementations.
- Define and support data visualization, KPI, metric, and insight requirements.
- Adapt technical communication for audiences unfamiliar with the technologies.
- Work across a portfolio of client transformation programmes with teams in Cairo, the UK, Germany, and the Middle East.
Requirements
- University degree in computer science, engineering, business analytics, information systems, or a related discipline.
- 1–3 years of hands-on experience with Azure Data Factory, Data Lake Storage, Files, Blob, Synapse, Data Lake Analytics, Event Hub, Data Catalog, and Stream Analytics.
- At least 1 year of hands-on experience delivering cloud-based data analytics solutions.
- Understanding of data architecture approaches for ingesting, modelling, and serving structured and unstructured data.
- Experience delivering enterprise data platform solutions through the full implementation lifecycle.
- Experience with modern data lakes, data warehouses, dimensional modelling, and data modelling techniques.
- Experience with SQL and query performance tuning.
- Foundational delivery knowledge of at least one of SAP Business Analytics, Oracle, Cognos, Informatica, IICS, SSIS, Datastage, Talend, or another data warehouse or data management vendor.
- Experience in at least one business function such as Marketing, Sales, Finance, Workforce, or Procurement.
- Practical knowledge of data modelling, manipulation, and visualization using tools such as Excel, Alteryx, Power BI, Tableau, or Qlik.
- Preferably, experience implementing data visualization with Power BI.
- Preferred certifications include Open Group Certified Technical Specialist – Data Engineering, Alteryx, Microsoft Power BI, Tableau, Microsoft Azure Data Engineering, or Microsoft Azure Fundamentals.
- Experience with Data Vault and Industrial 3NF data models, such as Accord, TDW, or CLDM.
Benefits
- The role is based in Cairo and works with PwC Global Network teams across the UK, Germany, and the Middle East.
- The role offers exposure to a portfolio of large and complex commercial-sector client transformation programmes.
- Travel requirements are not specified.
- Work visa sponsorship is not available.
Categories
Data Engineering
About PwC
PwC is a global network of professional services firms providing assurance, tax, and advisory work for businesses and public-sector clients. It sells project-based and managed consulting, audit, and deals services, and implements and integrates business applications. Formed in 1998 by the merger of Price Waterhouse and Coopers & Lybrand, it is headquartered in London and is one of the Big Four accounting firms.