Intern Data Engineer Brazil

Reposted 2 Months Ago
Be an Early Applicant
São Paulo, BRA
In-Office
Internship
Artificial Intelligence • Consulting
The Role
Work with cross-functional teams to design, build, and deploy end-to-end data solutions. Own conception and implementation of data infrastructure, pipelines, ML model integration, REST APIs, and CI/CD. Collaborate, train, and present findings; stay current on cloud and big-data technologies.
Summary Generated by Built In

Who we are

Artefact is a new generation of a data service provider, specialising in data consulting and data-driven digital marketing, dedicated to transforming data into business impact across the entire value chain of organisations. We are proud to say we’re enjoying skyrocketing growth.

Our broad range of data-driven solutions in data consulting and digital marketing are designed to meet our clients’ specific needs, always conceived with a business-centric approach and delivered with tangible results. Our data-driven services are built upon the deep AI expertise we’ve acquired with our 300+ internation brands around the globe.

We have 800+ employees across 16 offices in 13 countries who are focused on accelerating digital transformation. Thanks to a unique mix of company assets: State of the art data technologies, lean AI agile methodologies for fast delivery, and cohesive teams of the finest business consultants, data analysts, data scientists, data engineers, and digital experts, all dedicated to bringing extra value to every client.

Your responsibilities : 

  • Innovate. You will work with your team which is made up of consultants, data scientists, creatives and engineers to identify your clients needs and define innovative solutions.
  • Build. You’ll take ownership of the solution from start to end. You manage both conception and implementation, whilst also optimising the performance and scalability.  
  • Train. You will work in a collaborative  team which champions knowledge sharing. You will coach others, keep abreast of industry news/updates and get stuck into training sessions with our business partners and suppliers, such as Google & Amazon.
  • Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, with the capability of presenting and communicating

Your mindset

  • Curious, you are always seeking innovative solutions for your clients. You are involved in all the value chain which can be, front-end, back-end, big data infrastructure, ML model …
  • Sharing of knowledge is essential for you and you actively participate in the diffusion of information within Artefact (seminaries, formations, certifications)
  • Entrepreneurial, you bring solutions, new ideas, within your team at Artefact

Profile :

  • You act on all the value chain of projects (infrastructures and platforms creation, data collection, application of machine learning models, APIs REST creations, of front-ends, of tests, continuous deployments)
  • You have a  good knowledge of python (Java and Scala are an asset), you know how to navigate *nix thank to CLI, you are familiar or have already used  cloud technologies such as GCP or AWS, you have already used bug data technologies like Flink, Spark, or Beam and Docker (K8S is an asset)
  • You can popularize technical terms or solutions to more business oriented profiles, you can work in a team with very diversified profiles
  • You know how to prioritize your tasks, respect deadlines, prevent in case of problems
  • You have a good level of English

Why join us :

  • Innovative projects and technologies, exciting
  • Really competent team, co-progression guaranteed
  • Strong ambition for the data department, full of progression opportunities (technical, management)
  • Recent Stack : Python, Spark, React/Redux, Google Cloud Platform (BQ, Dataflow, Compute Engine…), Nifi, HDFS, Ansible, Docker, Redis, ...

Come join us !

Skills Required

  • Knowledge of Python
  • Experience with Java
  • Experience with Scala
  • Familiarity with Unix/Linux CLI
  • Familiarity or experience with cloud technologies (GCP or AWS)
  • Experience with big data technologies (Flink, Spark, or Beam)
  • Experience with Docker
  • Experience with Kubernetes
  • Ability to build infrastructure and data platforms, collect data, apply ML models, create REST APIs, front-ends, tests, and CI/CD
  • Ability to communicate technical concepts to business stakeholders
  • Ability to prioritize tasks, meet deadlines, and proactively manage issues
  • Good level of English

Artefact (artefact.com) Compensation & Benefits Highlights

The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Artefact (artefact.com) and has not been reviewed or approved by Artefact (artefact.com).

  • Leave & Time Off Breadth — Time‑off structures such as RTT days in France and extra holidays in Germany are highlighted, indicating generous leave in several European offices.
  • Healthcare Strength — France’s supplemental health insurance (mutuelle) is described as solid, while Germany references mental‑health initiatives and company pension options that strengthen core coverage.
  • Wellbeing & Lifestyle Benefits — Meal vouchers, transport reimbursement, CSE discounts, fitness perks such as ClassPass‑style programs, and a Paris gym are cited alongside flexible or hybrid work in some regions.

Artefact (artefact.com) Insights

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The Company
HQ: Paris
1,637 Employees
Year Founded: 2014

What We Do

Artefact is a leading global consulting company dedicated to accelerating the adoption of data and AI to positively impact people and organizations. We specialize in data transformation and data marketing to drive tangible business results across the entire enterprise value chain. Our 1500 employees operate in 23 countries (Europe, Americas, Asia, Middle East Africa) and we partner with 1000 clients, including 300 major brands like Samsung, L’Oréal, Orange and Sanofi. We provide customized services from strategy to operations: data strategy, data quality and governance, data platforms, AI factories, demand forecasting, data marketing & sales, AI for call centers, Data & AI School, specialized by industry sectors with dedicated consultancy and technology support

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