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Senior Data Engineer - Fluent English

Avenida das Nações Unidas, 12901, 11° andar São Paulo

Pay
Salary not listed in the saved posting
Work setup
Unconfirmed
Employment
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What you’ll work on

Full posting
  • Develop, schedule, and monitor data pipelines using Apache Airflow.

  • Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.

  • Optimize ETL processes for performance, reliability, and scalability.

From the employer’s posting
You know how to prioritize your tasks, respect deadlines, prevent in case of problems Develop, schedule, and monitor data pipelines using Apache Airflow. Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.
Develop, schedule, and monitor data pipelines using Apache Airflow. Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery. Optimize ETL processes for performance, reliability, and scalability.
Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery. Optimize ETL processes for performance, reliability, and scalability. Maintain and improve data architecture, ensuring data integrity and security.

What you’ll bring

All qualifications

Core experience

  • Strong communication and interpersonal skills, with the ability to collaborate across multiple teams and levels of the organization.
  • Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement.
Qualification wording
Strong communication and interpersonal skills, with the ability to collaborate across multiple teams and levels of the organization.
Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement.

Tools in this posting

  • Java
  • Python
  • Scala
  • Docker
  • Google Cloud (GCP)
  • Spark
  • Airflow
Source — Tool mentions in context
- 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 (Google Cloud Platform), you have already used big data technologies like Beam (Dataflow), Spark (Dataproc), or Flink and Docker (GKE 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
What you will be doing: We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products. - 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 know how to prioritize your tasks, respect deadlines, prevent in case of problems - Develop, schedule, and monitor data pipelines using Apache Airflow. - Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.

Benefits in the posting

Full benefits wording
  • Meal/Transportation Allowance (VR/VT)
  • Gympass
  • Insurance: Life, Health, and Dental
  • Why you should join us

From the employer’s posting.

About LinkedIn Job Wrapping

At Artefact LatAm, we believe in and live a culture based on empathy!

In the employer’s words · Read in context

Job description

View original posting ↗

Who we are

At Artefact LatAm, we believe in and live a culture based on empathy!

A healthy work environment is a place where all voices are heard, respected, and valued.

Our commitment is to build a more diverse and inclusive environment, because empathy is for everyone, regardless of ethnicity, color, gender, sexual orientation, gender identity, disability, or religious belief.

We want incredible minds and hearts to join us! Come be Artefact!

What you will be doing:

We’re looking for a skilled Data Engineer with hands-on experience in Apache Airflow to join our data team. In this role, you’ll be responsible for designing, building, and maintaining scalable data pipelines and workflows that support our analytics and data-driven products.

  • 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 (Google Cloud Platform), you have already used big data technologies like Beam (Dataflow), Spark (Dataproc), or Flink and Docker (GKE 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
  • Develop, schedule, and monitor data pipelines using Apache Airflow.
  • Collaborate with data analysts, scientists, and engineering teams to ensure reliable data delivery.
  • Optimize ETL processes for performance, reliability, and scalability.
  • Maintain and improve data architecture, ensuring data integrity and security.
  • Troubleshoot and resolve pipeline failures and performance bottlenecks.
  • Provide technical leadership and guidance in the implementation of technical solutions, ensuring alignment with industry standards and compliance requirements.
  • Document architectural decisions, strategies, and implementation guidelines for future reference.
  • Lead by example, promoting engineering excellence and a culture of continuous improvement.
  • Coach and upskill team members by providing technical guidance, pair programming, design reviews, and knowledge sharing.

 

What we are looking for:

  • A degree in Computer Science, Statistics, Engineering, Economics, or a related field.
  • Strong communication and interpersonal skills, with the ability to collaborate across multiple teams and levels of the organization.
  • Demonstrated ability to balance hands-on technical delivery with mentoring and team enablement.
  • Excellent problem-solving skills, with the ability to troubleshoot complex technical issues.
  • Curiosity: You are always looking for innovative solutions for your clients. You get involved in the entire value chain, which can include front-end, back-end, big data infrastructure, ML models.
  • Collaboration: Knowledge sharing is essential to you, and you actively contribute to spreading information within Artefact.
  • Entrepreneurship: You bring solutions, new ideas, and innovations.
  • Fluent English: You are comfortable communicating in English, as it is essential for working in our international environment.

What We Offer:

  • Meal/Transportation Allowance (VR/VT)
  • Free Office (work from home or anywhere you want!)
  • Gympass
  • Insurance: Life, Health, and Dental
  • Bi-monthly Meetings (our “Get Together” where we meet to be together, with workshops, lectures, training, and a happy hour!)
  • Woba (you can book coworking spaces anywhere you want!)
  • Semi-annual evaluations (with opportunities for promotion)


Why you should join us

  • Artefact is the place to be: come and build the future of marketing
  • Progress: every day offers new challenges and new opportunities to learn
  • Culture: join the best team you could ever imagine
  • Entrepreneurship: you will be joining a team of driven entrepreneurs. We won’t give up until we make a huge dent in this industry!

Come join us!

Your next step

  • Have your CV and examples of relevant work ready.
  • Check the listed location, eligibility and core experience before starting.
  • Ask the employer about the salary range before committing time to the process.

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Pay

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Location & working pattern

Avenida das Nações Unidas, 12901, 11° andar São Paulo

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Status in our records
Active
First seen by us
Oct 6, 2026
Recorded sightings
2
Last seen by us
Oct 7, 2026
Employer says posted
Oct 1, 2026

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