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Artefact

Data and AI-driven business transformation consulting

Data Engineer

Data EngineeringConfirmed live in the last 24 hours
Full-timeBogotá, Bogota, ColombiaNo salary listedRemote

About the Job

Requirements

  • Have completed a bachelor's degree in computer science, statistics, engineering, economics, or a related field.
  • Have a good level of English.

Responsibilities

  • Work with a team of consultants, data scientists, creatives, and engineers to identify client needs and define innovative solutions.
  • Participate in solution delivery from beginning to end, managing design and implementation with assistance from senior engineers, and optimizing performance and scalability.
  • Work across the project value chain, including infrastructure and platform creation, data collection, application of machine learning models, REST API creation, front-end development, testing, and continuous deployment.
  • Explain technical terms and solutions to business-oriented audiences and work with people from diverse backgrounds.
  • Prioritize tasks, meet deadlines, and raise risks or problems.

Desired Qualifications

  • Share knowledge and contribute actively to disseminating information within Artefact.
  • Bring forward solutions, new ideas, and innovations.

About the Company

Artefact

Data and AI-driven business transformation consulting

Artefact helps organizations use data and AI to transform their operations and decision-making. It provides end-to-end services across the data value chain, from strategy and data platform implementation to governance, advanced analytics, and sector-specific AI tools, delivered through consulting and project execution. The company works with industries like FMCG, retail, and luxury goods to optimize marketing performance, customer engagement, and ROI. Artefact differentiates itself by combining consulting expertise with data science and AI capabilities across multiple regions, offering integrated, sector-focused solutions rather than just advisory services. The main goal is to help clients adopt data-driven approaches to improve efficiency, decision quality, and marketing results at scale.

Company size
1,001-5,000
Company stage
IPO
Headquarters
Paris, France
Founded
1998

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