Avenida das Nações Unidas, 12901, 11° andar São Paulo
Open 4 months, first seen by us 133 days agoEmployment type in the employer’s posting: InternshipFrom the employer’s posting
Job title: Intern Data Engineer Brazil
Own data solutions from conception through implementation and optimisation
Identify client needs and define innovative data solutions with the team
Build data infrastructures, pipelines, APIs and machine learning model integrations
Present technical solutions and learnings to business audiences and at events
You manage both conception and implementation, whilst also optimising the performance and scalability
identify your clients needs and define innovative solutions
infrastructures and platforms creation, data collection, application of machine learning models, APIs REST creations
You can popularize technical terms or solutions to more business oriented profiles
You have a good knowledge of python
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
Docker (K8S is an asset)
You have a good level of English
Java and Scala are an asset
K8S is an asset
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.
In the employer’s words · Read in context
Open 4 monthsWe first saw this posting 133 days ago and it is still up. Roles open this long are often slow to fill or kept open to collect applications.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 133
Up longer than most. Similar jobs usually come down between day 6 and day 54.
Well past LinkedIn Job Wrapping’s usual: its jobs come down by about day 62.
From 11,039 similar postings that came down, and 19 of LinkedIn Job Wrapping’s. Coming down is not always a hire.
24 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
- 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
- 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 !
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New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
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Avenida das Nações Unidas, 12901, 11° andar São Paulo
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