{"id":1460848,"url":"https://alion.io/job/pricewaterhousecoopers-data-engineering-manager","title":"Data Engineering Manager","company":{"id":5739,"name":"PricewaterhouseCoopers","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":991,"ghost_share":0,"stale_share":0.996,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-03T05:45:00Z"}},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Warsaw, Poland"],"countries":["PL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":78000,"max_usd":147000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":16},"experience_years_min":8,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AI Agents","optional":false},{"name":"Azure","optional":false},{"name":"Databricks","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Scrum","optional":false},{"name":"Snowflake","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false},{"name":"Agentic Workflows","optional":true},{"name":"DynamoDB","optional":true},{"name":"Model Context Protocol","optional":true},{"name":"pgvector","optional":true},{"name":"PostgreSQL","optional":true},{"name":"Weaviate","optional":true}],"status":"live","first_seen_at":"2026-06-16T00:00:00Z","employer_posted_date":"2026-06-16","last_verified_at":"2026-10-03T23:53:04Z","board_verified":true,"closed_at":null,"days_open":110,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":109},"description":"Job Description & Summary\nIn PwC Poland’s Digital&IPA we create innovative applications and deliver data-driven insights by combining software engineering expertise with advanced data analysis, including GenAI applications. Our capabilities span across data science, UX design, business intelligence, data engineering, frontend & backend development and cloud solutions. Our multidisciplinary approach ensures that we deliver comprehensive, impactful solutions that drive business success. We carry out projects in various industries, including banking, insurance and retail, supporting clients from Europe, the USA, South America, and Asia.\nWe are looking for:\nData Engineering Manager\nYour future role:\nA hybrid leadership position split equally between business development and hands-on technical delivery on client projects,\nBuilding strong cooperation with adjacent teams (AI Engineering, Software Development, Cloud) to design integrated, cross-domain offerings,\nCo-creating and evolving our \"Data for AI\" proposition: how we deliver data foundations for GenAI, agentic systems, and ML use cases,\nSupporting pre-sales activities: client meetings, solution scoping, estimations, proposals, and RFP responses, \nContributing to thought leadership: internal knowledge sharing, conference talks, articles, and client workshops, \nSupporting recruitment and growth of the Data Engineering practice, \nActing as a Data Architect, Tech Lead, or SME on client engagements - designing end-to-end cloud data platforms on Azure, including data architectures powering GenAI and agentic solutions (vector databases, RAG pipelines, AI-ready data products), \nGuiding team members, reviewing architectural decisions and code, and maintaining regular communication with senior client stakeholders. \nApply if you have:\nAt least 8 years of professional experience in data engineering, including senior, lead, or architect roles, \nProven experience in client-facing or pre-sales activities (scoping, estimations, proposals, solution presentations), \nHands-on experience designing and delivering cloud data platforms, like Databricks, MS Fabric, Snowflake, \nWorking experience processing large volumes of structured, semi-structured and unstructured data with Python, Spark and SQL \nSolid understanding of data warehousing concepts and experience in data modeling,\nFamiliarity with Data Governance topics: data quality assurance, data lineage, versioning, cataloging, privacy etc., \nPractical understanding of how data engineering supports GenAI and agentic use cases (e.g. vector stores, RAG pipelines, feature/context delivery for agents), \nExcellent communication and stakeholder management skills, including with senior business audiences, \nMin C1 in English, written and spoken, \nFluency in Polish for internal communication, \nFamiliarity with Scrum or other agile PM methodologies, \nNice to have:\nHands-on experience with GenAI applications as a developer (e.g. RAG, agentic workflows, MCP or similar tool/data integration patterns), \nExperience with vector databases (e.g. Azure AI Search, Weaviate, pgvector) and document databases (MongoDB, DynamoDB), \nExperience cooperating with AI/ML or software engineering teams on integrated solutions, \nRelevant certifications (e.g. Databricks Certified Data Engineer Professional, Azure Solutions Architect). \nBy joining us you gain:\n Work flexibility - hybrid working model (min. 2 days in the office per week), flexible start of the day, workation, sabbatical leave, \nDevelopment and upskilling - our full support during onboarding process, mentoring from experienced colleagues, training sessions, workshops, certification co/financed by PwC e.g. Data Engineering learning paths with MS Azure or Databricks and conversations with native speaker, \n Wide medical and well-being program - a medical care package (incl. physiotherapy, discounts on dental care), coaching, mindfulness sessions, psychological support, education through dedicated webinars and workshops, financial and legal advice, \nPossibility to create your individual benefits package (a.o. lunch pass, insurance packages, concierge, veterinary package for a pet, massages) and access to a cafeteria - vouchers, discounts on IT equipment and car purchase, \n3 paid hours for volunteering per month, \nAdditional paid Birthday Day off, \nAnd when you start enjoying PwC as much as we do, you may recommend your friend to work with us. \nRecruitment process:\nApply,\nHave a conversation with our Recruiter during a short HR screening call,\nGet to know each other better during an interview with our Hiring Manager. \nWith any queries please contact us .\nYour personal data will be processed for recruitment purposes by PwC Advisory spółka z ograniczoną odpowiedzialnością sp.k. or another PwC entity which runs a recruitment process - (list of entities). If you have given separate consent, data will also be processed for other purposes in accordance with the content of the consents granted. Full information about processing your personal data is available in the Privacy Policy.\n#LI-PZ1 #LI-Hybrid","description_format":"text","description_chars":5116,"description_truncated":false,"requirements":{"experience_years_min":8,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"Polish","level":"Advanced (C1)","optional":false},{"language":"English","level":"All levels","optional":false}]},"benefits":["Cafeteria","Hybrid work"],"hiring_locations":[{"name":"Poland","iso":"PL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Professional Services","Financial Advisory, Valuation & Restructuring","Management Consulting","Tax Advisory & Preparation"],"lifecycle":[{"event":"open","at":"2026-09-29T12:04:36Z"}],"visa":[],"liveness":{"score":6,"band":"cold","label":"Long shot","p_open":1,"p_active":0.2,"p_room":0.28,"age_days":109,"expected_fill_days":14,"reasons":["conf:3","stale_co","velocity","win:tail","crowd:brand"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pricewaterhousecoopers-data-engineering-manager","json_url":"https://alion.io/job/pricewaterhousecoopers-data-engineering-manager.json","meta":{"generated_at":"2026-10-04T01:04:54Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","usage":{"tier":"crawler","counted_by":"address","units_charged":1,"used_today":1370,"day_limit":5000,"remaining_today":3630,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}