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Consulting – Data Engineer

  • Dubai

PwC Middle East


At PwC, we measure success by our ability to create the value that our clients and our people are looking for. Our reputation lies in building lasting relationships with our clients and a focus on delivering value in all we do. We’re a network of firms in 158 countries with more than 236,000 people who are committed to delivering world-class capabilities and quality in assurance, tax and advisory services.

Established in the region for 40 years, PwC Middle East employs over 4,200 people across 12 countries. Complementing our depth of industry expertise and breadth of skills is our sound knowledge of local business environments across the Middle East region. Our tailored solutions help our clients meet the challenges and opportunities of doing business in the Middle East market and beyond.

Line of Service



Management Level

Senior Associate
Job Description & Summary

Needs to have the ability to work with business and technical stakeholders to understand the business requirements, extract the analysis needed, study the data available and produce a data product that can support a company’s decision-making process and advanced analysis of information. Able to design, build, operationalize, secure and monitor data processing systems with emphasis on security and compliance; scalability and efficiency; reliability and fidelity; and flexibility and portability.

Key Technical Skills:

•Collect, manage, analyze and visualize data
•Develop, construct, test and maintain architectures (such as databases and large-scale processing systems)
•Ability to work with multiple data sources and databases
•Advanced working SQL knowledge and experience working with relational databases, query authoring (T-SQL, PL/SQL, etc.) as well as working familiarity with a variety of databases (SQL Server, Oracle, etc.)
•Functional and technical design of DW (star schema and snowflakes)
•Advanced working experience in data ingestion tools, such as ADF, SSIS, Informatica for ETL pipelines development
•Advanced working experience in dimensional data modelling, data model optimization and model performance tuning
•Build and verify new data models that aid decision-making
•Practical experience with Visualization and Reporting tools such as Qlik, Tableau, Power BI and Excel (Power Pivot)
•Capable of collaborating with Team Leads in understanding and contributing to the technical solution from design through implementation level

Leadership, Management and Other Skills:

•Partner with Team Leads and Product Owners in understanding all data requirements
•Proven ability to suggest and implement creative, innovative solutions which are aligned to the business requirements
•Work with technical teams to build/improve data analytics and business intelligence techniques
•Excellent spoken and written English skills, with ability to communicate clearly and concisely with QA, other developers and Team Lead
•Interpersonal skills to interact with team members
•Follow defined methodology and standards including preparation and maintenance of documentation for all stages of an Analytics project execution
•Strong analytical and problem-solving skills
•Positive attitude with ability to see through to completion
Technologies and Tools:
•Relational SQL and NoSQL databases, including some of the following: Azure Synapse/SQL DW and SQL Database, SQL Server and Oracle
•Data pipeline and workflow management tools: Data Factory, Informatica Data Engineering, Databricks, etc.
•Core cloud services from at least one of the major providers in the market (Azure, AWS, Google)
•Data visualization tools, mainly Power BI
•Agile Methodologies, such as SCRUM
•Task tracking tools, such as TFS and JIRA
Education(if blank, degree and/or field of study not specified)

Degrees/Field of Study required:
Degrees/Field of Study preferred:
Certifications(if blank, certifications not specified)

Required Skills

Optional Skills

Desired Languages(If blank, desired languages not specified)

Travel Requirements

Up to 60%
Available for Work Visa Sponsorship?

Government Clearance Required?


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