{"id":29085,"url":"https://alion.io/job/thorit-ai-data-engineer-all-genders","title":"AI & Data Engineer (all genders)","company":{"id":7889,"name":"Thorit","domain":"thorit.com","url":"https://alion.io/company/thorit","size_band":"11-50","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":{"grade":"B","score":81,"open_postings":8,"ghost_share":0,"stale_share":0.75,"repost_share":0,"time_to_fill_p50_days":null,"computed_at":"2026-10-15T05:46:00Z"}},"role":"Data Science","role_family":"Data Science","seniority":null,"employment_type":"full_time","work_mode":"hybrid","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":33000,"max_usd":83000,"period":"year","method":"role_country_seniority_unknown","sample_n":27},"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":"BigQuery","optional":false},{"name":"Claude","optional":false},{"name":"dbt","optional":false},{"name":"Docker","optional":false},{"name":"DuckDB","optional":false},{"name":"GCP","optional":false},{"name":"Gemini","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Hybrid Search","optional":false},{"name":"LLM","optional":false},{"name":"pgvector","optional":false},{"name":"Pinecone","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"RAG","optional":false},{"name":"Snowflake","optional":false},{"name":"Tool Use","optional":false},{"name":"TypeScript","optional":false},{"name":"Weaviate","optional":false},{"name":"Claude Code","optional":true},{"name":"Confluence","optional":true},{"name":"Cursor","optional":true},{"name":"GitHub Actions","optional":true},{"name":"GitLab CI","optional":true},{"name":"Jira","optional":true}],"status":"live","first_seen_at":"2026-04-27T17:06:15Z","employer_posted_date":"2026-04-27","last_verified_at":"2026-10-15T17:34:05Z","board_verified":true,"closed_at":null,"days_open":171,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":170},"description":"About the Role\nYou'll be the senior engineering anchor of our Lisbon AI hub. You'll ship production-grade agentic AI systems for enterprise clients (orchestration, RAG, evals, deployment, observability) AND own the data plumbing they depend on (dbt models on a warehouse layer over HubSpot and client data).\nThe AI Team today has more qualified AI requests in the pipeline than engineers capable of taking them from prototype to production. You change that.\nWhat You'll Do\nYou'll ship 3+ production agentic AI systems to enterprise clients within 12 months (deployed, signed off, in active use)\n\nYou'll build and maintain our reusable agent framework: tool-calling layer, prompt management, evals harness, observability, usable by future AI Engineers across all sites\n\nYou'll build and operate the internal data warehouse layer (dbt models, source freshness checks, tested transformations) for both client AI engagements and internal analytics\n\nYou'll establish our evals and data quality bar: every shipped agent gets documented evals, drift monitoring, and a rollback plan; every shipped pipeline gets tests and freshness SLAs\n\nYou'll maintain ≥ 85% billable utilisation across active engagements\n\nYou'll co-author 2+ public-facing technical assets (blog post, webinar, conference talk) on our AI or data engineering approach\n\nYou'll contribute to AI proposal and scoping conversations as the technical authority alongside Sales and Advisory\n\nWhat You Bring\nMust-haves\nDirect experience building and shipping agent systems using tool-calling LLMs (Claude, GPT, Gemini) to production. You understand tool schemas, multi-step reasoning, error handling, retries, observability\n\nHands-on data engineering experience with dbt (or comparable), modeling CRM or B2B data into a clean dimensional layer, operating a warehouse (BigQuery, Snowflake, Postgres, DuckDB, or similar) under change control\n\nProduction RAG experience with vector stores (Pinecone, Weaviate, pgvector), hybrid search, re-ranking, and chunking strategies that actually work for enterprise documents\n\nEvals and data-test discipline. You don't ship without them. Automated eval suites (golden datasets, LLM-as-judge, regression tests) and dbt-style data tests treated as production code, not notebooks\n\nProduction engineering hygiene: maintainable Python or TypeScript, tests, types, CI, deployment, cloud fluency (AWS, GCP, or Azure), Docker, basic IaC\n\nCost and latency awareness. You read token cost and warehouse cost like an SRE reads CPU. You know when to cache, when to fine-tune, when to switch models or pre-aggregate data\n\nNative-level Portuguese plus clear business English.\n\nNice-to-haves\nExperience integrating AI or agent systems with HubSpot, Salesforce, or comparable enterprise CRM platforms\n\nPrior experience as the senior engineering anchor on a distributed team across multiple time zones\n\nPublic open-source contributions or shipped commercial AI products\n\nExperience building or contributing to an internal agent framework or LLM tooling layer\n\nYour Team\nYou'll join the AI Team within our Development & Technology Practice as the Lisbon anchor. You'll report to the Director Development & Technology, with day-to-day collaboration with Senior Engineers across the Practice. You'll partner closely with the Tech Consulting team on solution architecture, the Development team on integration work, and the Consulting Practice (Advisory) on AI proposal scoping.\nTech Stack\nAI & Agentic: Claude (primary), GPT, Gemini, tool-calling and function-calling APIs, internal agent framework\n\nRAG & Knowledge: Pinecone, Weaviate, pgvector, hybrid search, re-ranking\n\nLanguages: Python (primary), TypeScript\n\nData Engineering: dbt, BigQuery / Snowflake / Postgres / DuckDB, source-freshness checks, dbt tests\n\nInfrastructure: AWS, GCP, or Azure, Docker, basic IaC, GitHub Actions or GitLab CI\n\nInternal Tooling: Jira, Confluence, Forecast, Claude AI, Claude Code, Cursor\n\nWhat We Offer\nStatutory: Standard Portuguese employment benefits via local entity or EOR (paid time off, public holidays, parental leave, statutory health coverage)\n\nHealth: Private health insurance top-up\n\nLearning: Full Blinkist Business library (4,500+ books), 3 months of Babbel, HubSpot certifications fully funded, dedicated AI conference budget\n\nFlexibility: Up to 4 weeks per year working from anywhere in the EU with a €500 allowance, hybrid setup with Lisbon hub access\n\nCulture & Tools: Flat hierarchies with direct access to CEO and Leadership, modern stack (HubSpot, Jira, Confluence, Claude AI)\n\nAbout Thorit\nThorit is one of Europe's leading HubSpot partners and a top business and technology consultancy. We combine strategic advisory with hands-on IT implementation, from CRM architecture to fully automated go-to-market infrastructure powered by AI and agentic systems.\nReady to Apply?\nSend your application via Ashby. A cover letter is optional, but a concrete example of the most complex agent system you've personally shipped to production (architecture, tooling, evals, rollout, what broke and how you fixed it) is required.","description_format":"text","description_chars":5091,"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":"Upper-Intermediate (B2)","optional":false},{"language":"Portuguese","level":"All levels","optional":false}]},"benefits":["Health insurance","Parental leave"],"hiring_locations":[{"name":"Portugal","iso":"PT","kind":"country"},{"name":"Germany","iso":"DE","kind":"region"},{"name":"France","iso":"FR","kind":"region"},{"name":"Austria","iso":"AT","kind":"region"},{"name":"Belgium","iso":"BE","kind":"region"},{"name":"Bulgaria","iso":"BG","kind":"region"},{"name":"Croatia","iso":"HR","kind":"region"},{"name":"Cyprus","iso":"CY","kind":"region"},{"name":"Czech Republic","iso":"CZ","kind":"region"},{"name":"Denmark","iso":"DK","kind":"region"},{"name":"Finland","iso":"FI","kind":"region"},{"name":"Hungary","iso":"HU","kind":"region"},{"name":"Ireland","iso":"IE","kind":"region"},{"name":"Italy","iso":"IT","kind":"region"},{"name":"Netherlands","iso":"NL","kind":"region"},{"name":"Poland","iso":"PL","kind":"region"},{"name":"Romania","iso":"RO","kind":"region"},{"name":"Spain","iso":"ES","kind":"region"},{"name":"Sweden","iso":"SE","kind":"region"},{"name":"Estonia","iso":"EE","kind":"region"},{"name":"Greece","iso":"GR","kind":"region"},{"name":"Latvia","iso":"LV","kind":"region"},{"name":"Lithuania","iso":"LT","kind":"region"},{"name":"Luxembourg","iso":"LU","kind":"region"},{"name":"Malta","iso":"MT","kind":"region"},{"name":"Slovakia","iso":"SK","kind":"region"},{"name":"Slovenia","iso":"SI","kind":"region"}],"hiring_excludes":[],"relocation_offered":false,"industries":["CRM Software","Enterprise Apps Implementation Partners"],"lifecycle":[{"event":"open","at":"2026-04-27T17:06:15Z"}],"visa":[],"liveness":{"score":8,"band":"cold","label":"Long shot","p_open":1,"p_active":0.281,"p_room":0.28,"age_days":170,"expected_fill_days":66,"reasons":["conf:3","win:tail","crowd:"],"computed_at":"2026-10-15T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/thorit-ai-data-engineer-all-genders","json_url":"https://alion.io/job/thorit-ai-data-engineer-all-genders.json","meta":{"generated_at":"2026-10-15T17:59:56Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":27238,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-16T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":7889},"rest":"https://alion.io/mcp/rest/get_company?id=7889"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fthorit-ai-data-engineer-all-genders"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fthorit-ai-data-engineer-all-genders"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fthorit-ai-data-engineer-all-genders"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/thorit-ai-data-engineer-all-genders\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fthorit-ai-data-engineer-all-genders"}]}