Data Engineer (SAP)

Volis; Brasil; Teletrabalho; BRL 120 000 - 160 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Collaborative remote culture

Opportunities for growth

Engagement in innovative challenges

Resumo da oferta

A rapidly growing data startup is seeking a Data Engineer to design and maintain robust data architectures. The position involves building data pipelines and working with technologies like SQL, Python, and Docker. The ideal candidate will have experience in cloud environments, particularly GCP, and strong problem-solving skills. A collaborative remote culture is offered along with opportunities to work on significant projects in various industries. Fluency in English is required to engage with international clients.

Qualificações

• Experience as a Data Engineer or in similar roles with proven data pipeline architecture.
• Strong skills in SQL, Python, Airflow, dbt, and infrastructure tools.
• Proficiency in GCP or similar cloud platforms.
• Proactive mindset with problem-solving skills.
• Results-oriented ability to deliver solutions on time.
• Curiosity and openness to continuous learning.
• Fluency in English required for client interactions.

Responsabilidades

• Design and build data pipelines for analytics and reporting.
• Utilize modern technologies for efficient data architectures.
• Ensure data reliability through monitoring and testing.
• Collaborate with teams to fulfill data needs.
• Promote data engineering best practices.

Conhecimentos

SQL

Python

Airflow

dbt

Terraform

Docker

Kubernetes

SAP 4Hana

BW

DataSphere

Formação académica

Master's degree in a technical or analytical field

Descrição da oferta de emprego

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:

• Design and build robust pipelines: Create and maintain end-to-end data pipelines and architectures to support analytics, reporting, and AI use cases.
• 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, Kubernetes, SAP 4Hana, BW and DataSphere. 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.
• Location: Remote from Brazil.

Nice to have skills:

• 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.

If you are passionate about data and seeking a professional challenge in a company that is revolutionizing the market, come join Volis!