Intern Data Engineer Brazil

Artefact; Região Geográfica Intermediária de São Paulo; Presencial; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

Artefact is seeking a versatile data engineer to join a cross‑functional team of consultants, data scientists and engineers. You will own infrastructure, data collection, ML model deployment, REST APIs, front‑ends and continuous delivery.

You’ll work with cloud platforms such as GCP or AWS, big data tools like Spark or Flink, and containers including Docker and Kubernetes. Proficiency in Python and clear communication with business colleagues are essential.

Qualificações

• Experience with Python and data engineering tooling.
• Familiarity with cloud platforms (GCP or AWS) and REST APIs.
• Knowledge of big data technologies (Spark, Flink, Beam) and containers (Docker, Kubernetes).

Responsabilidades

• Innovate with your team of consultants, data scientists, creatives and engineers to identify client needs and define innovative solutions.
• Build and own the solution from conception to implementation, ensuring performance and scalability.
• Train and share knowledge in a collaborative team, and engage with partners and suppliers such as Google and Amazon.
• Communicate findings and results effectively at events and conferences.

Conhecimentos

Python

Java

Scala

CLI

English

Ferramentas

GCP

AWS

Flink

Spark

Beam

Docker

Kubernetes

Descrição da oferta de emprego

Who We Are

Artefact is a new generation 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+ international 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, managing both conception and implementation while optimising performance and scalability.
• Train. You will work in a collaborative team that champions knowledge sharing. You will coach others, keep abreast of industry news and updates, and participate in training sessions with our business partners and suppliers, such as Google and Amazon.
• Communication. You will regularly attend events and conferences to share your knowledge, learnings and success, and you will have the capability of presenting and communicating.

Your Mindset

• Curious—always seeking innovative solutions for your clients. You are involved in all parts of the value chain, which can include front-end, back-end, big data infrastructure, ML model development, and more.
• Sharing of knowledge is essential; you actively participate in the diffusion of information within Artefact through seminars, training, certifications.
• Entrepreneurial—you bring solutions and new ideas within your team at Artefact.

Profile

• You act on all parts of the value chain of projects: infrastructure and platform creation, data collection, application of machine learning models, REST APIs, front-ends, testing, and continuous deployment.
• You have a good knowledge of Python (Java and Scala are assets), can navigate *nix systems via CLI, and are familiar with or have used cloud technologies such as GCP or AWS. You have experience with big data technologies like Flink, Spark, or Beam, and Docker; Kubernetes is an asset.
• You can popularise technical terms or solutions to more business-oriented profiles and can work in a team with highly diversified profiles.
• You know how to prioritise your tasks, respect deadlines, and prevent issues if they arise.
• You have a good level of English.

Why Join Us

• Innovative projects and technologies.
• Highly competent team with guaranteed co-progression.
• Strong ambition for the data department, offering many progression opportunities (technical, management).
• Recent stack: Python, Spark, React/Redux, Google Cloud Platform (BQ, Dataflow, Compute Engine), NiFi, HDFS, Ansible, Docker, Redis, and more.