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Indicium AI

End-to-end data and AI consulting

Data Consultant

Data EngineeringConfirmed live in the last 24 hours
Full-timeLisbon, PortugalNo salary listedIn-person

About the Job

Requirements

  • A pragmatic approach to solving problems.
  • Strong communication skills and the ability to collaborate effectively and convey technical ideas to stakeholders at various levels.
  • A good grasp of modern data engineering, including distributed systems, data streaming, and event-based architectures.
  • Solid foundations in software engineering, including automation, testing, clean code, continuous integration and continuous delivery, and the path to production.
  • Experience with one or more cloud platforms and services, such as AWS, Azure, or GCP.
  • Software development experience with one or more languages, such as Python or Java.

Responsibilities

  • Be a core member of a team implementing end-to-end data solutions, including the technical implementation and delivery of modern data systems and AI-enabled applications, addressing problems and opportunities at scale.
  • Work with customers to bring their data strategy to life and guide them on a journey to success.
  • Strive for technical excellence and deliver the right solutions to customers.
  • Contribute to internal initiatives such as blogs and technical forums.
  • Drive personal development using the tools and support provided by Indicium AI to learn new skills.

Desired Qualifications

  • Exposure to modern data technologies and ETL tools such as Kafka, Flink, and dbt; data storage technologies such as Snowflake and Redshift; and infrastructure-as-code tools such as Terraform and CloudFormation.
  • A keen interest in modern AI and machine learning techniques.
  • Having started one's career in consulting.

About the Company

Indicium AI

End-to-end data and AI consulting

Indicium AI provides end-to-end data and AI consultancy for mid-size and large enterprises, helping organizations organize data, design data strategies, build data platforms, and enable AI adoption. They work by applying the Modern Data Stack (AWS, Databricks, Google Cloud, Snowflake) to deliver data solutions, and they use IndiMesh, a proprietary AI-enabled framework with pre-built templates and governance processes, plus AI Data Squads that combine human experts with AI agents for complex migrations. They differentiate themselves through scalable, service-based delivery using a repeatable framework rather than a single product, focused on standardizing and accelerating large-scale data and AI programs, and by expanding their operations in the United States. Their goal is to help enterprises improve data-driven decision-making and scale AI adoption across industries and geographies.

Company size
201-500
Company stage
Late Stage VC
Total funding
$40M
Headquarters
Palhoça, Brazil
Founded
2017

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