willowtree is hiring a

Data Engineer (Poatek - Brazil applicants)


Posted on: new!


**Data Engineer **

São Paulo-SP, Brazil or Porto Alegre-RS, Brazil

Who We Are

In 2021, Poatek was acquired by WillowTree, an award-winning digital product consultancy recognized as one of the fastest growing and best places to work in the United States. Now a [TELUS International company](https://www.willowtreeapps.com/insights/a-letter-from-willowtree- president-tobias-dengel), with offices across the globe, we continue to partner with the world’s leading brands, such as the NBA, Capital One, HBO, PepsiCo, Domino’s and more, to design, build, and transform their digital products and strategies. We’re looking to grow our Poatek offices in Brazil with top talent excited to collaborate with team members across the globe to deliver innovative solutions for our clients.

Location and Flexibility

This is a hybrid role, which we’ve termed Work from Near (WFN). You’ll work on-site from either our São Paulo or Porto Alegre office at least three days a week and have the flexibility to work remotely for two days a week. Our WFN culture is designed to foster in-person innovation, collaboration, and connection with team members local and visiting from other global offices.

The Opportunity

As a Data Engineer part of our growing Data Science team, you will be responsible for designing, implementing, and maintaining robust and scalable data pipelines, enabling efficient data integration, storage, and processing across our various data sources. You will collaborate with cross-functional teams, including Data Scientists, Software Engineers, and other technical stakeholders, to ensure data quality and support data-driven decision-making.

**Responsibilities **

  • Be responsible for expanding and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams;
  • Create and maintain optimal data pipeline architecture;
  • Assemble large, complex data sets that meet business requirements;
  • Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc;
  • Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL, AWS, and Azure ‘big data’ technologies;
  • Work with data and analytics experts to strive for greater functionality in our data systems.


  • BSc, MSc, and/or PhD in Statistics, Mathematics, Physics, CS, or another related subject
  • Experience in the construction and optimization of data pipelines, architectures, and 'big data' datasets
  • Proficiency with Apache Spark with a general-purpose programming language such as Python or Scala
  • Ability to create processes supporting data transformation, data structures, metadata, dependency, and workload management
  • Should also have experience using the following software/tools:
    • Experience with big data tools: Hadoop, Spark, Kafka, etc.
    • Experience with relational SQL and NoSQL databases
    • Experience with data pipeline and workflow management tools
    • Experience with AWS, Azure cloud services

Why Poatek?

Besides being part of an innovative consultancy company with an international culture , you will have:

  • Be part of an innovative consultancy company
  • Flexible hours and autonomy
  • Work in international and agile projects
  • International travels
  • Voucher for health activities
  • English classes
  • Support in national and international courses
  • Food allowance
  • Snacks, drinks and video game in the office
  • Work in a company with highly-skilled professionals
  • Transportation or parking spot
  • Annual attractive bonus.

Equality is a principle here at Poatek. We are committed to building an inclusive team that represents a variety of backgrounds, perspectives, beliefs, and experiences. Therefore we provide equal employment opportunities to all employees and applicants regardless of race, color, religion, gender identity, sexual orientation, national origin, age, or disability.

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