{"id":131155,"url":"https://alion.io/job/ciandt-job-31300-senior-data-developer-brazil","title":"Senior Data Developer, Brazil","company":{"id":957,"name":"CI&T","domain":"ciandt.com","url":"https://alion.io/company/ciandt","size_band":"5000+","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"Lever","truth_index":{"grade":"A","score":97,"open_postings":21,"ghost_share":0,"stale_share":0.333,"repost_share":0,"time_to_fill_p50_days":14,"computed_at":"2026-10-27T05:46:45Z"}},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"remote","remote_scope":"stated_countries","remote_scope_basis":"posting_text","remote_working_hours":null,"hiring_geo_confidence":"explicit","locations":["Brazil"],"countries":["BR"],"hiring_countries":["BR"],"hiring_countries_total":1,"salary":null,"salary_estimate":{"min_usd":50000,"max_usd":106000,"period":"year","method":"role_seniority_country_cell","sample_n":8},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"Computer Vision","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Git","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Machine Learning","optional":false},{"name":"SQL","optional":false},{"name":"Time Series","optional":true}],"status":"live","first_seen_at":"2026-08-27T13:08:08Z","employer_posted_date":"2026-08-27","last_verified_at":"2026-10-27T14:10:53Z","board_verified":true,"closed_at":null,"days_open":61,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":61},"description":"Our client's Digital Supply Chain Analytics team is scaling how artificial intelligence and modern data platforms support day-to-day decisions across manufacturing, logistics, planning, procurement, and operations. The team is running multiple parallel initiatives - from data pipelines feeding AI agents, to a full SaaS replacement for forecasting and inventory management, to machine learning for vision and forecasting systems - and needs additional hands-on developers to keep pace.\nThe Senior Data Developer joins an existing team and contributes to established code repositories, with work scoped to the individual's strongest skills - whether that's database and pipeline development, application and UI development, or machine learning. Rather than owning a fixed set of responsibilities end to end, this person becomes part of a larger team accountable for the overall project, picking up the pieces of work best suited to their profile. What matters most is the ability to work confidently inside an existing codebase, follow solid Git practices, and communicate clearly and consistently with the rest of the team.\n\nResponsibilities:\nContributes to existing code repositories by extending and maintaining code according to established patterns and conventions.\nFollows Git best practices, including branching, commit hygiene, code review, and merge processes.\nCommunicates progress, blockers, and technical decisions clearly and consistently with the broader team.\nCollaborates within a larger cross-functional team accountable for the overall success of each project.\nData Pipelines & Integration\nBuilds data pipelines that feed downstream applications, including AI agents that manage purchase orders, by integrating and transforming data from sources such as Google BigQuery and SAP.\nDevelops and maintains ETL/ELT (Extract, Transform, Load / Extract, Load, Transform) processes to ensure reliable, accurate data flow between systems.\nDesigns and maintains database structures that support operational and analytical workloads.\nApplication & UI Development\nBuilds and extends front-end interfaces for internal applications, including a SaaS replacement for forecasting and inventory management.\nDevelops backend features and administrative functionality that support day-to-day application operations.\nBuilds and maintains scheduled jobs (cron jobs) that automate recurring application or data processes.\nMachine Learning\nSupports the development of machine learning models for use cases such as computer vision and forecasting.\nAssists in preparing data and features required to train and evaluate models.\nRequirements:\nDemonstrated experience contributing to and extending existing code repositories in a team environment\nStrong working knowledge of Git and collaborative version control practices\nClear, consistent communication skills, comfortable working closely with a distributed team\nDepth in at least one of the following areas, with working familiarity in others: database development and SQL, front-end/application development, ETL and data pipeline development, or machine learning\nComfort working across a range of tasks as scoped by the team, rather than a single fixed role\nExperience with Google BigQuery, SAP, or similar enterprise data platforms is a plus where relevant to assigned tasks\nNice to Have:\nExperience with SAP integrations\nExperience building or maintaining SaaS-style applications (forecasting, inventory management, or similar)\nExperience with machine learning for computer vision or time-series forecasting\nExperience with scheduled/automated jobs (cron) and lightweight administrative tooling\nExperience in supply chain, manufacturing, logistics, or procurement 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