{"id":1656905,"url":"https://alion.io/job/bees-intermediate-data-engineer-2","title":"Intermediate 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":"middle","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":35000,"max_usd":94000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":550},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Airflow","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"Azure DevOps","optional":false},{"name":"Databricks","optional":false},{"name":"ETL/ELT","optional":false},{"name":"GCP","optional":false},{"name":"GitHub Actions","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Scala","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"Spark","optional":true}],"status":"live","first_seen_at":"2026-01-19T15:06:10Z","employer_posted_date":"2026-09-30","last_verified_at":"2026-10-02T16:44:38Z","board_verified":true,"closed_at":null,"days_open":256,"trust":{"level":"stale","repost_count":0,"flags":["stale"],"days_open":255},"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:\nImplement ETL/ELT solutions and data integration between multiple systems and data sources.\nDesign, implement, and maintain data pipelines to ingest, store, and process large volumes of data.\nCollaborate with other teams to ensure data security and compliance.\nDesign, develop, and implement solutions to optimize the performance and scalability of data processing systems.\n What you'll need:\nBachelor's degree in Computer Science, Computer Engineering, Information Systems, Systems Analysis and Development, or similar;\nIntermediate English;\nApply knowledge of data pipeline concepts and tools to implement data transformation, cleaning, and aggregation tasks.\nUse data pipeline frameworks and libraries to automate data processing tasks and optimize workflows.\nFollow best practices for developing data pipelines, including version control, testing, and thorough documentation.\nApply programming skills in Python, PySpark, Scala, and SQL to effectively manipulate and transform data.\nUnderstand and utilize cloud computing platforms and services offered by providers such as AWS, Azure, and Google Cloud.\nDevelop data pipelines using orchestration frameworks (e.g., Apache Airflow, Luigi, Mage, Databricks Workflows), integrating with PySpark and/or Scala as needed.\nUnderstand and apply software design principles to data engineering projects.\nApply data modeling techniques to design efficient and scalable data models.\nOptimize PySpark and SQL query performance, considering data volume, query complexity, and system resources.\nUse data tools for ingestion, transformation, analysis, and visualization.\nMore about you:\nLogical reasoning and analytical skills;\nMeeting deadlines and delivering quality work;\nEffective and transparent communication with other teams and coworkers;\nCommunication and interpersonal skills to present and discuss cases with other involved areas;\nAutonomy in performing tasks;\nDevelop and maintain APIs for data exchange between applications.\nExperience with cloud computing platforms (AWS, Azure, Google Cloud) and their services.\nUse automation frameworks and tools such as Azure DevOps, Terraform, and GitHub Actions.\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 plans \nDiscounts on medications \nPartnership with WellHub \nChildcare assistance \nDiscounts on Ambev products* \nClube Ben partnership \nScholarship program* \nSchool supplies support \nLanguage learning platforms and training \nTransportation allowance\nRules 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 race, color, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other applicable legally protected characteristics. The 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":3933,"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":"Intermediate (B1)","optional":false}]},"benefits":["Growth opportunities","Life insurance"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":[],"lifecycle":[{"event":"open","at":"2026-10-02T01:57:58Z"}],"liveness":{"score":7,"band":"cold","label":"Long shot","p_open":1,"p_active":0.265,"p_room":0.28,"age_days":255,"expected_fill_days":52,"reasons":["conf:3","velocity","win:tail","crowd:"],"computed_at":"2026-10-02T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/bees-intermediate-data-engineer-2","json_url":"https://alion.io/job/bees-intermediate-data-engineer-2.json","meta":{"generated_at":"2026-10-03T02:28:47Z","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":2724,"day_limit":5000,"remaining_today":2276,"minute_limit":60,"resets_at":"2026-10-04T00:00:00Z"}}}