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Artefact

Data and AI-driven business transformation consulting

Data Engineer Manager

Engineering LeadershipConfirmed live in the last 24 hours
Full-timeJakarta, IndonesiaNo salary listedIn-person

About the Job

Requirements

  • At least 8 years of industry experience in data engineering.
  • Proficiency in Python, SQL, and database management.
  • Experience with data pipelines and extract, transform, load (ETL), cloud services (Microsoft Azure, Google Cloud Platform, Amazon Web Services), machine learning modeling, Spark, and Kafka.
  • Knowledge of data modeling and modern data platform design concepts.
  • Experience building and maintaining data platforms in Azure, AWS, or Google Cloud Platform.
  • Experience working with business stakeholders internally or externally.
  • A bachelor's degree in Computer Science, Electronics, or Communication Engineering.
  • Already have authorization to work and already be working in the market.

Responsibilities

  • Build and optimize data pipelines to facilitate data flow across systems and platforms.
  • Manage databases, ensure their integrity, and implement data storage and retrieval solutions.
  • Use cloud services such as Microsoft Azure, Google Cloud Platform, and Amazon Web Services to architect and deploy scalable data solutions.
  • Collaborate with teams to integrate machine learning models into data pipelines for enhanced data processing.
  • Implement and work with Spark and Kafka for real-time data processing and analytics.
  • Mentor and guide engineers, fostering knowledge sharing and best practices.

Desired Qualifications

  • Strong business acumen and interest in business-facing roles.
  • Adaptability and a start-up mentality.

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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