{"id":2499321,"url":"https://alion.io/job/trigo-data-engineer","title":"Data Engineer","company":{"id":48492,"name":"Trigo","domain":"trigoretail.com","url":"https://alion.io/company/trigoretail","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Comeet","truth_index":null},"role":"Data Science","role_family":"Data Science","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Ramat Gan, Israel"],"countries":["IL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":61000,"max_usd":166000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":865},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"BigQuery","optional":false},{"name":"Computer Vision","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Google BigQuery","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Anomaly Detection","optional":true},{"name":"Looker","optional":true},{"name":"Tableau","optional":true},{"name":"Time Series Forecasting","optional":true}],"status":"live","first_seen_at":"2026-10-07T02:25:01Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-18T07:29:37Z","board_verified":true,"closed_at":null,"days_open":11,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":11},"description":"Description\nTrigo is Crafting Tomorrow's Retail Experience\nWe started with a simple question: How can vision AI make shopping better for everyone? Today, our team of passionate experts is transforming how people shop and how retailers operate, one store at a time.\nOur goal is to solve real retail challenges by developing advanced computer vision AI that prevents loss, enables grab-and-go shopping, and turns store data into valuable insights, all while delivering clear value from day one.\nWith multiple global deployments, deep partnerships with leading retailers, and a product suite that’s proving its impact every day, Trigo isn’t just imagining the future of retail, we’re building it.\nWe are looking for an experienced Data Engineer to own and evolve Trigo’s data infrastructure and analytics platform.\nYou will design and build scalable data pipelines and data models, working with large and diverse datasets generated across Trigo’s global retail deployments. You will own the data lifecycle from ingestion and transformation through orchestration, reliability, and analytics-ready datasets.\nAs a key technical owner of Trigo’s data platform, you will also work closely with analysts, Product, R&D, Operations, and Customer Success to build trusted data products, evolve our BI semantic layer, and turn complex data into scalable solutions\nA day in the life\nDesign, build, and maintain scalable ETL/ELT pipelines processing large and diverse datasets.\nOwn and evolve Trigo’s data architecture, from ingestion and transformation through analytics-ready data models and consumption.\nBuild reliable data workflows and orchestration processes, with a focus on scalability, performance, and maintainability.\nDesign and maintain curated data models that power analytics, operational workflows, and data-driven products.\nEnsure data quality, observability, monitoring, and reliability across datasets and pipelines.\nDevelop and evolve the BI semantic layer, enabling trusted metrics and self-service analytics across the company.\nWork closely with R&D and Product on data integrations and new data-driven capabilities, including use cases that bridge offline analytics and production systems.\nPartner with analysts and business stakeholders to translate complex requirements into scalable data solutions.\nYou bring to the table\n4+ years of experience as a Data Engineer, Analytics Engineer, or similar hands-on data role\nStrong command of SQL and proficiency in Python for data modeling and transformation\nExperience with modern data tools such as dbt, BigQuery, and Airflow (or similar)\nProven ability to design clean, scalable, and analytics-ready data models\nFamiliarity with BI modeling and metric standardization concepts\nExperience partnering with analysts and stakeholders to deliver practical data solutions\nA pragmatic, problem-solving mindset and ownership of data quality and reliability\nExcellent communication skills and ability to connect technical work with business impact\nNice to have\nExperience implementing or managing BI tools such as Tableau, Looker, or Omni.\nUnderstanding of retail, computer vision, or hardware data environments.\nExposure to time-series data, anomaly detection, or performance monitoring.\nInterest in shaping a growing data organization and influencing its direction.","description_format":"text","description_chars":3312,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Retail & Shop Systems","Computer Vision","Retail & Commerce AI"],"lifecycle":[{"event":"open","at":"2026-10-14T05:32:16Z"}],"visa":[],"liveness":{"score":75,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.836,"p_room":0.9,"age_days":10,"expected_fill_days":21,"reasons":["conf:0","velocity","win:mid"],"computed_at":"2026-10-17T05:46:00Z"},"pay":null,"html_url":"https://alion.io/job/trigo-data-engineer","json_url":"https://alion.io/job/trigo-data-engineer.json","meta":{"generated_at":"2026-10-18T10:52:27Z","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 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