{"id":1392810,"url":"https://alion.io/job/teamlyzer-ai-data-engineer-2","title":"AI Data Engineer","company":{"id":701663,"name":"Teamlyzer","domain":"teamlyzer.com","url":"https://alion.io/company/teamlyzer","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":true,"listed_via":"teamlyzer.com","ats_vendor":"Schema","truth_index":{"grade":"B","score":75,"open_postings":13,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":31,"computed_at":"2026-09-29T05:45:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Lisbon, Portugal"],"countries":["PT"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":31000,"max_usd":74000,"period":"year","method":"role_country_seniority_unknown","sample_n":18},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"BigQuery","optional":false},{"name":"Embeddings","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Function Calling","optional":false},{"name":"GCP","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Prompt Engineering","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"SQL","optional":false},{"name":"Vertex AI","optional":false}],"status":"live","first_seen_at":"2026-09-24T00:00:00Z","employer_posted_date":"2026-09-24","last_verified_at":"2026-09-24T00:00:00Z","board_verified":false,"closed_at":null,"days_open":6,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":6},"description":"Sobre a vaga\nWe are seeking a highly qualified professional to join our team as an AI Data Engineer (with Google Cloud Platform). You will be responsible for designing, building, and optimizing scalable data solutions that support analytics, reporting, and AI-driven use cases. We are looking for a professional with strong expertise in GCP, data engineering, and modern data architectures.\nO que vais fazer\nDesign, develop, and maintain scalable data pipelines and data platforms on GCP\nBuild and optimize solutions using BigQuery and other Google Cloud data services\nDevelop and maintain data models that support business reporting, analytics, and operational processes\nEnsure data quality, governance, security, and compliance standards are consistently applied\nCollaborate with business and technical stakeholders to gather requirements and translate them into data solutions\nMonitor and optimize data platform performance, reliability, and cost efficiency\nSupport the implementation of data engineering best practices across projects\nContribute to architecture decisions and provide technical guidance to project teams\nPresent technical recommendations and solutions to client stakeholders\nSupport AI and advanced analytics initiatives by preparing and managing high-quality datasets\nO que é pedido\nStrong hands-on experience with SQL and Python\nDeep knowledge of Google Cloud Platform (GCP), with BigQuery expertise being mandatory\nMinimum knowledge of Generative AI concepts (must have), including embeddings, RAG pipelines, Vertex AI SDK, prompt engineering, and function calling fundamentals\nProven track record delivering end-to-end data engineering projects\nStrong experience in data modeling, data quality, and data governance best practices\nExperience designing and implementing scalable data pipelines and data platforms\nStrong understanding of ETL/ELT frameworks and modern data architectures\nClient-facing experience with the ability to communicate technical concepts to non-technical stakeholders\nStrong analytical and problem-solving skills\nExcellent communication and stakeholder management abilities\nFluent in English (C1 or above)\nValorizado\nGoogle Cloud Certifications such as Professional Data Engineer, Professional Cloud Architect, or equivalent\nExperience with Azure or AWS is considered a plus\nO que é oferecido\nOpportunities to keep skills relevant through certifications, learning, and diverse work experiences\nResumo organizado por IA a partir do anúncio original. Confirma os detalhes no site da empresa.","description_format":"text","description_chars":2535,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Career Services","Job Boards & Aggregators","Online Reviews & Ratings"],"lifecycle":[{"event":"open","at":"2026-09-28T12:24:09Z"}],"liveness":{"score":59,"band":"ok","label":"Likely open","p_open":1,"p_active":0.591,"p_room":1,"age_days":5,"expected_fill_days":31,"reasons":["seen:5","stale_co","velocity","win:early","comp:brand"],"computed_at":"2026-09-29T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/teamlyzer-ai-data-engineer-2","json_url":"https://alion.io/job/teamlyzer-ai-data-engineer-2.json","meta":{"generated_at":"2026-09-30T01:47:59Z","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":1382,"day_limit":5000,"remaining_today":3618,"minute_limit":60,"resets_at":"2026-10-01T00:00:00Z"}}}