{"id":692640,"url":"https://alion.io/job/bees-senior-data-engineer","title":"Senior Data Engineer","company":{"id":668841,"name":"BEES","domain":"bees.com","url":"https://alion.io/company/bees-2","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Greenhouse","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"senior","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Campinas, Brazil"],"countries":["BR"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":43000,"max_usd":112000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1536},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"CI/CD","optional":false},{"name":"Dimensional Modeling","optional":false},{"name":"GCP","optional":false},{"name":"Machine Learning","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-07-29T12:54:37Z","employer_posted_date":"2026-09-09","last_verified_at":"2026-10-04T00:57:03Z","board_verified":true,"closed_at":null,"days_open":66,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":66},"description":"About us\nAB InBev is the leading global brewer and one of the world’s top 5 consumer product companies. With over 500 beer brands, we’re number one or two in many of the world’s top beer markets, including North America, Latin America, Europe, Asia, and Africa.\nAbout BEES\nAt BEES, our ambition is - and always will be - to put customers at the heart of everything we do, making their lives easier and their businesses more profitable. Through our B2B e-commerce and SaaS platform, we bring the power of digital to small and medium-sized retailers, unlocking new growth opportunities for all.\nWhat you'll do:\nLeads efforts within the organization to drive the development and maintenance of data services and solutions to support products, downstream services, or infrastructure tools and platforms used across BEES.\nDesign efficient data models and understand concepts such as normalization, denormalization, and dimensional modeling.\nImplement improvements in architecture and processes to improve the performance, monitoring, and evolution of data products.\nDevelop and maintain data ingestion, processing, control/security, and data provisioning processes for different consumers (services, front-end, among others).\nContribute to obtaining knowledge in the business context and creating new data products to meet their strategic and operational needs.\nWhat you'll need:\nDegree in Computer Science, Computer Engineering, Information Systems, Systems Development Analysis or similar;\nAdvanced English;\nAssess scalability, reliability, security, and compliance implications of data pipeline designs.\nUnderstand cloud computing platforms and services offered by providers like AWS, Azure, and Google Cloud.\nEvaluate programming solutions in Python, PySpark, Scala, and SQL for data processing and analysis.\nEvaluate data quality processes and controls to ensure accuracy and completeness.\nApply debugging techniques to identify and resolve cross-module issues.\nImplement monitoring, alerting, and failure handling mechanisms in architecture designs.\nAssess effectiveness of CI/CD principles and practices in automated pipelines.\nDesign, develop, and maintain APIs for data exchange between applications.\nApply Agile practices to plan, execute, and deliver data engineering tasks and projects.\nLogical reasoning and analytical skills;\nMeeting deadlines and quality of work;\nEffective and transparent dialog with other areas and co-workers;\nAbility to communicate and interpersonal relationships to to present cases and discuss them with other areas involved;\nBeing independent in activities;\nWork as part of a team, promoting a good relationship with the team;\nEvaluate data pipeline solutions for latency, throughput and accuracy.\nAnalyze data requirements and business needs to inform data modeling decisions.\nUnderstand the principles and assumptions of different machine learning capabilities.\nIntegrate data sets with visualization tools to create insightful reports and dashboards\nMore about you:\nLogical reasoning and analytical skills;\nMeeting deadlines and quality of work;\nEffective and transparent dialog with other areas and co-workers;\nAbility to communicate and interpersonal relationships to to present cases and discuss them with other areas involved;\nBeing independent in activities;\nWork as part of a team, promoting a good relationship with the team;\nEvaluate data pipeline solutions for latency, throughput and accuracy.\nAnalyze data requirements and business needs to inform data modeling decisions.\nUnderstand the principles and assumptions of different machine learning capabilities.\nIntegrate data sets with visualization tools to create insightful reports and dashboards\nWhat We Offer:\nPerformance based bonus*\nAttendance Bonus* \nPrivate pension plan\nMeal Allowance\nCasual office and dress code\nDays off*\nHealth, dental, and life insurance\nMedicines discounts\nWellHub partnership\nChildcare subsidies\nDiscounts on Ambev products*\nClube Ben partnership\nScholarship*\nSchool materials assurance\nLanguage and training platforms\nTransport allowance\n*Rules applied\nEqual Opportunity & Affirmative Action:\nAB InBev Growth Group is proud to be an Equal Opportunity and Affirmative Action employer. We do not discriminate based upon of race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics.\nThe following fields are optional, but anticipate the information for your registration*.\nRemember: your data will never be used as elimination criteria in selection processes. With them, AB InBev Growth Group is able to analyze diversity and reduce biases in selection processes. We want to contribute to changing this reality by being an inclusive company. \nFor more information: www.abinbev.com","description_format":"text","description_chars":4821,"description_truncated":false,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"Advanced (C1)","optional":false}]},"benefits":["Growth opportunities","Life insurance","Performance based bonus"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-09-11T01:21:32Z"}],"visa":[],"liveness":{"score":27,"band":"fade","label":"Fading","p_open":1,"p_active":0.615,"p_room":0.44,"age_days":65,"expected_fill_days":52,"reasons":["conf:13","velocity","win:tail","crowd:"],"computed_at":"2026-10-03T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/bees-senior-data-engineer","json_url":"https://alion.io/job/bees-senior-data-engineer.json","meta":{"generated_at":"2026-10-04T02:35:13Z","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":3740,"day_limit":5000,"remaining_today":1260,"minute_limit":60,"resets_at":"2026-10-05T00:00:00Z"}}}