Company Name: Winston Artory Group

Job Details: RemoteFull,Time

Job Url: https://hiring.cafe/viewjob/qowciq4cll49rmqb

Job Description: Posted 2mo agoSenior Data Engineer (Colombia)@ Winston Artory GroupView All JobsNorth America or ColombiaRemoteFull TimeResponsibilities:Design ingestion, Build pipelines, Develop AIRequirements Summary:Senior Data Engineer with 5+ years experience; English fluency; B.S. in Computer Science; strong Python/SQL; data pipelines; ETL/ELT; web scraping; AI/ML systems; startup experience preferred.Technical Tools Mentioned:Python, SQL, Airflow, Dagster, Temporal, Web scraping, LLM APIs, ML models, PostgreSQL, Data lakes, Data warehouses, dbt, Fivetran
About the roleLocationColombia (Remote)The RoleWe're hiring a Senior Data Engineer to architect and scale the systems that power our AI-driven valuation tools, market analytics, and collector insights. You'll lead development of our data ingestion pipelines, enrichment workflows, and metadata infrastructure—from scraping and parsing messy real-world sources to preparing structured datasets that feed public indices, machine learning models and collector-facing tools.This is a high-ownership role for someone who thrives at the intersection of data engineering, AI integration, and real-world asset intelligence. You'll work closely with backend engineers, domain experts, and product leadership to turn fragmented data into a competitive advantage.What You'll DoDesign and operate scalable data ingestion and web scraping systemsBuild batch and real-time pipelines to normalize, enrich, and version data across structured and unstructured sourcesDevelop systems to support LLM- and ML-based document parsing, OCR, and classificationOwn the architecture of our data storage and processing stack, including PostgreSQL, data lakes, and data warehousesOperationalize AI/ML workflows by preparing clean training and inference datasets with robust lineage, validation, and error handlingIntegrate output with backend APIs, valuation services, and frontend analytics dashboardsCollaborate across engineering and product to ship reliable, intelligent features quicklyContribute to our infrastructure tooling, including CI/CD, IaC (Terraform), and data observabilityYou Might Be a Fit If YouRequired:Education: B.S. in Computer Science or equivalentLanguage: Fluency in English (written and spoken)Experience: 5+ years of experience building data platforms in production environments, ideally in startup or fast-moving contextsTechnical Skills:Fluent in Python, SQL, and familiar with orchestration tools like Airflow, Dagster, or TemporalHave designed or maintained web scraping pipelines at scale, using best practices around retries, proxies, and anti-bot strategiesUnderstand tradeoffs between ETL and ELT, and have hands-on experience with data lakes and data warehousesHave integrated structured and unstructured sources, and enjoy resolving messy edge cases that come with real-world dataHave worked with LLM APIs or ML models in production, particularly for document understanding, NLP, or entity extractionThrive in AI-native environments and enjoy building tools that support intelligent automation and analyticsCare about clean architecture, versioning, reproducibility, and quality in data systemsPreferred:Experience with art, collectibles, or other fragmented asset classes where clean data is rare but valuableFamiliarity with vector databases and semantic searchExperience with modern data stack tools (dbt, Fivetran, etc.)Knowledge of data governance and compliance requirementsWe offer great benefits, including:A Welcoming TeamA friendly, international team working with modern, cutting-edge technologiesCollaborative, inclusive, and supportive company cultureTransparent communication and regular feedbackTeam-building activities and virtual social eventsEmployee recognition and appreciation programsCompensationSalary aligned with experience, skills, and local market benchmarkingDiscretionary performance-based bonusesEquity option grants of company shares, offering alignment with company successHealth & FlexibilityFlexible remote work environmentPaid time off, including vacation, sick leave, and local holidayAdditional leave for bereavement or family emergenciesGrowth & DevelopmentOpportunities for continuous learning and skill developmentAccess to training, courses, and knowledge-sharing sessionsMentorship and leadership development initiativesPlease note: English fluency is required. Interviews will be conducted in English.¿Te suena interesante? ¡Esperamos recibir tu candidatura!