{"id":1569215,"url":"https://alion.io/job/pricewaterhousecoopers-etic-data-engineer-manager","title":"ETIC, Data Engineer, Manager","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":"B","score":80,"open_postings":1163,"ghost_share":0,"stale_share":0.989,"repost_share":0.001,"time_to_fill_p50_days":13,"computed_at":"2026-10-12T06:55:09Z"}},"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":50000,"max_usd":130000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":2157},"experience_years_min":8,"visa_sponsorship":true,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Azure","optional":false},{"name":"Agile","optional":true},{"name":"AWS","optional":true},{"name":"Azure Data Factory","optional":true},{"name":"Hadoop","optional":true}],"status":"live","first_seen_at":"2025-10-12T00:00:00Z","employer_posted_date":"2025-10-12","last_verified_at":"2026-10-12T21:40:52Z","board_verified":true,"closed_at":null,"days_open":365,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":365},"description":"Line of Service\nAdvisoryIndustry/Sector\nTechnologySpecialism\nAdvisory - OtherManagement Level\nManagerJob 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.\nEnhancing your leadership style, you motivate, develop and inspire others to deliver quality. You are responsible for coaching, leveraging team member’s unique strengths, and managing performance to deliver on client expectations. With your growing knowledge of how business works, you play an important role in identifying opportunities that contribute to the success of our Firm. You are expected to lead with integrity and authenticity, articulating our purpose and values in a meaningful way. You embrace technology and innovation to enhance your delivery and encourage others to do the same.\nExamples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to:\nAnalyse and identify the linkages and interactions between the component parts of an entire system.\nTake ownership of projects, ensuring their successful planning, budgeting, execution, and completion.\nPartner with team leadership to ensure collective ownership of quality, timelines, and deliverables.\nDevelop skills outside your comfort zone, and encourage others to do the same.\nEffectively mentor others.\nUse the review of work as an opportunity to deepen the expertise of team members.\nAddress conflicts or issues, engaging in difficult conversations with clients, team members and other stakeholders, escalating where appropriate.\nUphold and reinforce professional and technical standards (e.g. refer to specific PwC tax and audit guidance), the Firm's code of conduct, and independence requirements.\no Bachelor’s degree in Computer Science, Information Systems, Data Analytics, Business Administration, or a related field.\no Relevant certifications in Microsoft Azure Cloud\n8+ years of experience in the Data & Analytics field\nEducation (if blank, degree and/or field of study not specified)\nDegrees/Field of Study required:Degrees/Field of Study preferred:Certifications (if blank, certifications not specified)\nRequired Skills\nOptional Skills\nAccepting Feedback, Accepting Feedback, Active Listening, Agile Scalability, Amazon Web Services (AWS), Analytical Thinking, Apache Hadoop, Azure Data Factory, Coaching and Feedback, Communication, Creativity, Data Anonymization, Database Administration, Database Management System (DBMS), Database Optimization, Database Security Best Practices, Data Engineering, Data Engineering Platforms, Data Infrastructure, Data Integration, Data Lake, Data Modeling, Data Pipeline, Data Quality, Data Transformation {+ 24 more}Desired Languages (If blank, desired languages not specified)\nTravel Requirements\nNot SpecifiedAvailable for Work Visa Sponsorship?\nNoGovernment Clearance Required?\nNoJob Posting End Date","description_format":"text","description_chars":3394,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","Cybersecurity","Financial Services","Civil Defense"],"lifecycle":[{"event":"open","at":"2026-10-01T06:54:00Z"}],"visa":[],"liveness":{"score":4,"band":"cold","label":"Long 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