{"id":4013912,"url":"https://alion.io/job/pwc-data-engineermiddlesenior","title":"Data Engineer(Middle/Senior)","company":{"id":206170,"name":"PwC","domain":"pwc.lv","url":"https://alion.io/company/pwc-3","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":94,"open_postings":925,"ghost_share":0,"stale_share":0.24,"repost_share":0.005,"time_to_fill_p50_days":56,"computed_at":"2026-11-10T06:52:35Z"}},"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":["Lviv, Ukraine"],"countries":["UA"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":null,"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Databricks","optional":false},{"name":"GCP","optional":false},{"name":"Knowledge Graph","optional":false},{"name":"Microsoft Fabric","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false}],"status":"live","first_seen_at":"2026-11-10T11:45:06Z","employer_posted_date":"2026-11-10","last_verified_at":"2026-11-10T11:45:06Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"Job Description & Summary\nPwC is a global network of more than 370,000 professionals in 149 countries that turns challenges into opportunities. We create innovative solutions in audit, consulting, tax and technology, combining knowledge from all over the world.\nPwC SDC Lviv, opened in 2018, is part of this global space. It is a place where technology is combined with team spirit, and ambitious ideas find their embodiment in real projects for Central and Eastern Europe.\nWhat do we guarantee?\nWork format: Remote or in a comfortable office in Lviv - you choose.\nDevelopment: Personal development plan, mentoring, English and Polish language courses.\nStability: Official employment from day one, annual review of salary and career prospects.\nCorporate culture: Events that unite the team and a space where everyone can be themselves.\nJoin theTechnology Consulting team and help clients modernize the way they work with data. We deliverend-to-end data platform and analytics solutions across cloud environments, working with international clients. Our team brings together data engineers, architects, analysts, and technology consultants who enjoy solving complex business challenges through modern technologies.\nAre you a data professional ready to take the next step in your career, taking more ownership of data engineering projects, working with cloud technologies and modern data platforms, and starting to guide technical decisions?\nAs a Senior Data Engineer, you will:\nCo-design, develop, and maintain data pipelines using Databricks, Snowflake, Microsoft Fabric, and cloud-native technologies.\nBuild and automate data ingestion, transformation, validation, and loading processes.\nImplement integrations between databases, applications, APIs, and cloud platforms.\nWork with both batch and real-time data processing solutions.\nParticipate in cloud migration and modern data platform initiatives.\nInvestigate technical issues and develop sustainable solutions.\nPrepare technical documentation and contribute to engineering best practices.\nCollaborate with business analysts, architects, developers, and testing teams.\nSupport technical workshops and explain complex concepts to clients and stakeholders.\nGrow toward Lead Data Engineer or Data Architect career paths.\nWhat matters to us:\nSolid experience in software development and data engineering.\nPractical experience withdata warehousing, data lakes, Lakehouse architecture, data modeling, data quality, operational data store, or data mastering.\nHands-on experience and certification in cloud platforms such as Azure, AWS, or GCP.\nExperience applying CI/CD, Infrastructure as Code, DevOps practices, or automated testing in real projects.\nProven project delivery experience in at least one of the following technologies: Databricks, Snowflake, MS Fabric and Cloud technologies.\nInterest and initial hands-on experience with AI, LLMs, and AI agents, e.g. using APIs, prompt engineering, Knowledge Graph or RAG.\nAbility to independently translate technical designs 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