Data Engineer

Volis; Brasil; Remoto; BRL 120.000 - 240.000; Tempo pieno

Vantaggi offerti da questo lavoro

Innovative work environment

Founder experience

Large-scale projects

Descrizione del lavoro

Volis is a growing data startup transforming how organizations leverage data to gain actionable insights. We are seeking a Data Engineer to build scalable data architectures and deliver end-to-end data solutions using Palantir Foundry.

You will work with Airflow, Airbyte, dbt, BigQuery, Terraform, Kubernetes, Docker, and cloud environments to ensure data reliability and performance at scale. English fluency and a proactive ownership mindset are essential.

Competenze

• Solid experience designing and implementing data pipelines and architectures.
• Strong skills in SQL (BigQuery), Python, Airflow and dbt; infrastructure tools like Terraform, Docker, and Kubernetes.
• Cloud experience on GCP; ownership mindset and proactive problem solving are essential.
• Fluency in English required for coordinating with English-speaking clients.
• Experience applying software development best practices and documentation.

Mansioni

• Deliver high-impact data solutions using Palantir Foundry for large organizations.
• Work with modern tools and cloud environments to build scalable data pipelines.
• Develop monitoring, testing, and alerting to ensure data quality and performance at scale.
• Collaborate with analysts, data scientists, and business stakeholders to translate needs into data products.
• Help define and promote data engineering standards and keep code well-documented with GitHub workflows.

Conoscenze

SQL (BigQuery)

Python

Airflow

dbt

Cloud platforms (GCP)

English fluency

Ownership mindset

Formazione

Master's degree in a technical or analytical field

Strumenti

Palantir Foundry

Terraform

Docker

Kubernetes

BigQuery

Airbyte

Airflow

Descrizione del lavoro

Volis: Transforming chaos into order.

At Volis, we are revolutionizing the way companies utilize their data. We are a rapidly growing startup with the mission of unlocking the hidden potential in organizations' data, delivering actionable insights and innovative solutions. We offer end-to-end solutions that cover all aspects of data transformation to the use of AI and Machine Learning algorithms.

Your journey as a Data Engineer:

As a Data Engineer at Volis, you will play a key role in building and maintaining scalable, reliable, and efficient data architectures. You will have the opportunity to:

• Deliver high-impact solutions with Palantir Foundry: Work hands-on with Palantir Foundry to build end-to-end data solutions — from ingestion and modeling to analytics and operational use cases — supporting complex, business-critical projects for large organizations.


• Work with cutting-edge technologies: Utilize modern tools such as Airflow, Airbyte, dbt, BigQuery, Terraform, Kubernetes, Docker, and cloud environments.


• Ensure data reliability and scalability: Develop monitoring, testing, and alerting strategies to guarantee data integrity and performance at scale.


• Collaborate across teams: Work closely with analysts, data scientists, and business stakeholders to understand data needs and deliver high-impact solutions.


• Promote best practices: Help define and implement data engineering standards, ensuring code quality and documentation through GitHub workflows.

What we are looking for:

• Solid experience: experience as a Data Engineer or in similar roles, with a proven track record of designing and implementing data pipelines and architectures.


• Technical excellence: Strong skills in SQL (preferably BigQuery), Python, Airflow, dbt and experience with infrastructure tools like Terraform, Docker, and Kubernetes. Solid knowledge in software development and its best practices is very important.


• Cloud expertise: Experience working with cloud platforms (preferably GCP).


• Ownership mindset: Proactivity, autonomy, and a strong sense of responsibility to solve complex data challenges.


• Results-oriented: Ability to deliver high-quality solutions on time, aligned with business goals, evaluating different possibilities and comparing trade-offs.


• Curiosity and continuous learning: Eagerness to explore new technologies and improve your skills.


• Fluency in English: Essential, as we have English-speaking clients.

What we offer:

• Innovative work environment: Collaborative, remote culture with the opportunity to grow with the company.


• Founder experience: Participate in the creation of a rapidly growing data startup. Help define best practices, processes, and learn by experience.


• Great challenges: Chance to work with large companies in real estate, highway management, construction, and more.

Nice to have skills:

• Enterprise Palantir projects exposure: Previous experience delivering complex data solutions using Palantir Foundry for large organizations, with a strong consulting mindset and focus on translating business problems into scalable data products.


• Experience with MLOps tools and processes (e.g., MLflow, Kubeflow, Vertex AI).


• Experience with data streaming architectures and/or real-time data processing.


• Master's degree in a technical or analytical field.