{"id":1588327,"url":"https://alion.io/job/pricewaterhousecoopers-etic-azure-data-engineer-senior-associate","title":"ETIC, Azure Data Engineer, Senior Associate","company":{"id":5739,"name":"PwC","domain":"pwc.com","url":"https://alion.io/company/pwc","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":87,"open_postings":2628,"ghost_share":0,"stale_share":0.511,"repost_share":0,"time_to_fill_p50_days":24,"computed_at":"2026-10-24T06:02:35Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Cairo, Egypt"],"countries":["EG"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":55000,"max_usd":144000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2491},"experience_years_min":5,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Azure Data Factory","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Agile","optional":true},{"name":"Airflow","optional":true},{"name":"AWS","optional":true},{"name":"Hadoop","optional":true}],"status":"live","first_seen_at":"2025-08-17T00:00:00Z","employer_posted_date":"2025-08-17","last_verified_at":"2026-10-24T19:04:51Z","board_verified":true,"closed_at":null,"days_open":434,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":434},"description":"Line of Service\nIndustry/Sector\nSpecialism\nManagement Level\nSenior AssociateJob Description & Summary\nAt PwC, our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights, enabling informed decision-making and driving business growth.In data engineering at PwC, you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines, data integration, and data transformation solutions.\nData Engineer:\nJob Description:\nWe're looking for a versatile Data Engineer who’s equally comfortable building data pipelines as they are digging into complex SQL queries and supporting ad hoc data needs. This role straddles the line between engineering and analytics, requiring someone who thrives on solving business problems through data and has a strong grasp of relational databases, data modeling, and hands-on data manipulation.You’ll play a key role in maintaining data accuracy across systems, supporting stakeholders with one-off data needs, and making targeted updates directly in production databases.\nResponsibilities:\nWrite SQL queries to extract, analyze, and transform data for business reporting or internal use.\nCreate and execute ad hoc insert, update, and delete scripts in complex relational databases.\nPartner with analysts, product managers, and business stakeholders to fulfill one-off data requests and generate insights.\nEnsure data integrity and accuracy when performing manual interventions or debugging data issues.\nCollaborate with engineering teams to optimise database structure and improve data quality.\nDocument queries, data structures, and one-off scripts for transparency and repeatability.\nDesign, develop, and maintain data pipelines and ETL/ELT processes in Azure Cloud environments (Data Factory / Logic Apps / Synapse / Databricks)\nRequirements:\n5+ years of experience in data engineering, analytics, or database administration roles.\nStrong proficiency in SQL (including CTEs, window functions, subqueries).\nBasic proficiency in Python for maintaining and updating existing ETL processes.\nDeep understanding of relational database systems.\nExperience writing safe, efficient data modification scripts for use in production environments.\nStrong communication skills - 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