{"id":3819706,"url":"https://alion.io/job/indicium-ai-senior-analytics-engineer","title":"Senior Analytics Engineer (Data & AI)","company":{"id":2826334,"name":"Indicium AI","domain":"indicium.ai","url":"https://alion.io/company/indicium-ai","size_band":"501-1000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"InHire","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"senior","employment_type":null,"work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Brazil"],"countries":["BR"],"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":"Anthropic","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"dbt","optional":false},{"name":"OpenAI","optional":false},{"name":"Power BI","optional":false},{"name":"pySpark","optional":false},{"name":"SQL","optional":false},{"name":"Unity","optional":false},{"name":"Agile","optional":true},{"name":"CI/CD","optional":true},{"name":"Claude Code","optional":true},{"name":"Delta Lake","optional":true},{"name":"Dimensional Modeling","optional":true},{"name":"Git","optional":true},{"name":"GitHub","optional":true},{"name":"ISO 27001","optional":true},{"name":"Machine Learning","optional":true},{"name":"Python","optional":true},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-11-05T16:47:26Z","employer_posted_date":"2026-11-06","last_verified_at":"2026-11-08T06:31:16Z","board_verified":true,"closed_at":null,"days_open":2,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":2},"description":"About Indicium AI\nIndicium AI is trusted by the world's leading enterprises to deliver AI into production at scale. We are a global, AI-native consultancy with deep expertise across Financial Services, Energy & Utilities, Healthcare & Life Sciences, Retail & CPG, and Manufacturing - guiding organizations from strategy through build to measurable business outcomes. With 600+ AI experts, 50+ enterprise clients, and five global locations, we work side-by-side with the world's leading AI partners - including Anthropic, Databricks, AWS, OpenAI, and Microsoft - to deliver modern AI with speed, clarity, and lasting impact.\nAs a global company, we offer career opportunities across Europe and the Americas and are looking for talent eager to grow globally with our team. Please indicate in your application if you are available to work abroad and if you hold a European passport.\nAbout the Opportunity\nThe Senior Analytics Engineer will serve as the analytical modeling reference on data platform modernization projects for industrial clients on Azure Databricks. You will be responsible for turning legacy business logic into tested, documented data products, each with an owner per domain, powering Power BI dashboards, natural-language analytics, and AI agents.\nThe role involves working with data owners in the business areas and with the client’s technical leadership to define metrics, business rules, and modeling standards. It also includes leading the evolution of the analytics layer within the squad and mentoring mid-level and junior analytics engineers.\nWe are looking for a hands-on professional who writes code, backs technical decisions with data, and delivers autonomously in legacy environments and at a fast pace.\nKey Responsibilities\nDesign, build, and structure scalable data models using a framework (dbt or equivalent) on Databricks, in the Silver and Gold layers, defining naming conventions, layering, tests, documentation, and code review standards.\nRefactor legacy transformations in PySpark/SQL notebooks into modular, tested models, maintaining KPI parity with current reports through reconciliation.\nLead discovery with data owners to define grain, business rules, KPIs, and responsibilities, turning them into domain-based data products within a domain-oriented operating model (data mesh).\nBuild and govern the semantic layer (metric definitions, Unity Catalog Metric Views or equivalent) consumed by Power BI, natural-language analytics (Databricks AI/BI Genie), and AI agents.\nImplement data quality as code: tests, freshness SLAs, anomaly checks, and observability (e.g., Elementary), with a defined owner for each alert.\nSupport the decommissioning of legacy BI tools and the consolidation of the Power BI portfolio on top of governed models.\nDesign source-independent staging and conformed dimensions, so that ERP changes affect downstream models as little as possible.\nApply governance at the modeling layer together with Data Engineering: Unity Catalog permissions, classification and masking of personal data, lineage, and documentation of data subject to regulatory controls.\nOptimize the cost and performance of production models, taking into account data volume and compute consumption.\nSet up CI for the analytics layer (lint, slim CI, automated tests) on Azure DevOps and review the code of mid-level and junior analytics engineers.\nPresent indicators, trade-offs, and technical decisions to client leadership.\nDocument decisions (architecture decision records, data contracts, and runbooks) and support the evolution of the analytics layer.\nHave the freedom and critical thinking to propose and challenge solutions related to data modeling and the data platform.\n\nPreferred Qualifications & Experience\nSenior experience in analytics engineering or data modeling in production environments.\nAdvanced SQL and production experience with dbt Core (incremental models, snapshots, macros, packages, tests, and documentation), including defining project structure and modeling standards.\nHands-on experience with Databricks (Delta Lake, Unity Catalog, SQL Warehouse) or an equivalent cloud lakehouse/data warehouse.\nMastery of dimensional modeling (Kimball, SCDs, conformed dimensions) and experience defining metrics with business areas.\nExperience modeling data for Power BI (star schema, performance, row-level security) and knowledge of information design.\nProven experience migrating legacy logic (notebooks, stored procedures, or logic embedded in BI) to a governed modeling layer without breaking reports.\nAdvanced knowledge of cost and performance optimization for high-volume data models.\nIntermediate/advanced knowledge of Python and PySpark for reading, refactoring, and validating code and data.\nAdvanced experience with Git and CI/CD in data projects (Azure DevOps or GitHub).\nExperience leading end-to-end analytics projects and providing technical guidance to analytics engineers.\nExperience presenting indicators and technical decisions to senior leadership, backing cost-versus-benefit trade-offs.\nSolid knowledge of AI and its applications, including preparing data and metrics for consumption by agents, plus a grasp of statistics and machine learning.\nAutonomy and a results-driven mindset to deliver at a fast pace in legacy environments.\nAvailability for a hybrid model, with 2 days per week on-site in Monções/SP.\nNice to haves\nExperience with ERP data: SAP S/4HANA, SAP Datasphere/Business Data Cloud, or TOTVS Protheus.\nExperience with mining, heavy industry, or industrial automation data (e.g., production, grade, recovery, maintenance MTBF/MTTR).\nExperience with supply chain or HR KPIs.\nKnowledge of data mesh, domain ownership models, and DAMA-DMBOK practices.\nExperience with data controls for SOX.\nExperience with semantic layers (Unity Catalog Metric Views, dbt Semantic Layer) and Databricks AI/BI Genie.\nExperience with data observability tools (Elementary, Monte Carlo, or similar).\nExperience migrating from Qlik to Power BI.\nDatabricks Professional, dbt Developer/Architect, or Power BI Data Analyst (PL-300) certification.\nDaily use of AI coding assistants (e.g., Claude Code) in data work.\nWhy Indicium AI\nWork on AI projects that actually transform the world's largest enterprises\n\nUse cutting-edge AI tools and technologies every single day\n\nCollaborate with global teams on high-impact, real-world solutions\n\nBe backed by a supportive team that's genuinely in your corner\n\nBenefit from serious investment in your learning and career growth\n\nEarn competitive compensation and benefits\n\nEnjoy company events and gatherings that bring the global team together\n\nJoin a fast-growing company where ambitious careers thrive\n\nSelection Process Stages\nInterview with Talent Acquisition\n\nTechnical Challenge\n\nInterview with Technical Management\n\nEvidence Storage\n\nAs part of our commitment to Information Security and in compliance with the requirements of the ISO 27001 standard (item 7.2, clause d), we would like to inform you that in future stages of the selection process, you will be required to provide proof of the skills and qualifications mentioned in your resume (such as diplomas and certificates). This verification is mandatory and essential to ensure compliance with our governance standards prior to hiring.\nSome of the benefits offered by Indicium:\nOur Culture\nModern, transparent, and inclusive management.\n\nDynamic environment, open to innovation and creativity.\n\nData-driven culture.\n\nAutonomy and engagement.\n\nLight and relaxed atmosphere with a focus on challenges.\n\nHigh-growth environment (Fast-paced scaling).\n\nRemote work and flexible hours.\n\nFor Your Professional Development\nStructured career path.\n\nFeedback and growth culture (45/90-day onboarding reviews and semi-annual performance cycles).\n\nMentorship Program for dedicated support during onboarding.\n\nExperienced and collaborative team.\n\nHigh-impact projects.\n\nAgile methodologies and cross-functional teams.\n\nFree weekly English conversation classes.\n\nCertification Program (full financial support and performance rewards).\n\nTutoring opportunities at Indicium Academy.\n\nInternal initiatives such as \"Tech Tracks\" and \"Databloggers.\"\n\nFor Your Health and Wellbeing\nGlobal offices in Florianópolis, São Paulo, New York, Lisbon, and London.\n\nIn-office snacks and beverages.\n\nPoints and rewards program.\n\nPsychological support via \"Programa Oxigênio\" and Zenklub.\n\nBirthday day off.\n\nWeekly happy hours and game nights (both remote and in-person).\n\nWellhub (formerly Gympass).\n\nBradesco Health Insurance.\n\nFlash Card (flexible benefits - total R$ 1,350.00).\n\nAnnual bonus (performance-based).\n\nReferral Program (R$ 250 per successful hire).\n\nExtended maternity leave (6 months).","description_format":"text","description_chars":8731,"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":[]},"benefits":["Company events","Health insurance","Professional development"],"hiring_locations":[{"name":"Brazil","iso":"BR","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Artificial Intelligence","AI Consulting & Integration","Data Engineering & Migration Services"],"lifecycle":[{"event":"open","at":"2026-11-05T17:17:54Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":2,"expected_fill_days":34,"reasons":["conf:3","velocity","win:early"],"computed_at":"2026-11-08T05:47:12Z"},"pay":null,"html_url":"https://alion.io/job/indicium-ai-senior-analytics-engineer","json_url":"https://alion.io/job/indicium-ai-senior-analytics-engineer.json","meta":{"generated_at":"2026-11-08T08:16:58Z","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":17979,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-11-09T00:00:00Z"}},"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":2826334},"rest":"https://alion.io/mcp/rest/get_company?id=2826334"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Findicium-ai-senior-analytics-engineer"},{"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%2Findicium-ai-senior-analytics-engineer"},{"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%2Findicium-ai-senior-analytics-engineer"},{"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/indicium-ai-senior-analytics-engineer\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Findicium-ai-senior-analytics-engineer"}],"agent":{"mcp":"https://alion.io/mcp/jobs","mcp_open":"https://alion.io/mcp/open","next":[{"tool":"get_job","arguments":{"id":3819706}},{"tool":"search_jobs","arguments":{"company":"indicium.ai","detail":"compact"}},{"tool":"match_people","arguments":{"job_id":3819706},"note":"people open to offers who fit this vacancy"}],"note":"The same data through MCP tools: https://alion.io/mcp/open needs no sign-in (compact searches, postings, people); https://alion.io/mcp with an Alion account has everything. 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