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Associate Data Engineer (Temporary)

Volvo Group

Curitiba

Presencial

BRL 40.000 - 80.000

Tempo integral

Hoje
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Resumo da oferta

An innovative company is seeking an Associate Data Engineer to join their dynamic team in Curitiba. This temporary role offers the chance to work with cutting-edge technologies and contribute to sustainable transport solutions. You will play a vital role in optimizing data pipelines and collaborating with stakeholders to leverage data for new services. The position encourages creativity and offers an inclusive environment where your ideas matter. If you're passionate about data engineering and eager to make a global impact, this opportunity is perfect for you.

Qualificações

  • Experience with data engineering pipelines for processing and transformation.
  • Good background in Data Engineering and advanced SQL knowledge.

Responsabilidades

  • Join an agile product team to create business value through digital products.
  • Optimize data pipelines and support data extraction and transformation.

Conhecimentos

Data Engineering
SQL
Python
Data Pipelines
Communication Skills
Agile Methodologies

Formação académica

Bachelor's in Computer Science
Bachelor's in Mathematics
Bachelor's in Statistics

Ferramentas

Databricks
Azure Data Factory
PowerBI

Descrição da oferta de emprego

Join to apply for the Associate Data Engineer (Temporary) role at Volvo Group

Transport is at the core of modern society. Imagine using your expertise to shape sustainable transport and infrastructure solutions for the future. If you seek to make a difference on a global scale, working with next-gen technologies and collaborative teams, then we could be a perfect match.

At Volvo Group Digital & IT, you will contribute to transforming our company, the transport industry, and society at large.

You Will
  • Join our agile product team focusing on creating business value through digital products.
  • Contribute to enabling new data-driven services by working with stakeholders to identify opportunities for leveraging data.
  • Optimize existing data pipelines and support building infrastructure for data extraction, transformation, and loading from various sources to Azure and/or on-prem infrastructure.
  • Collaborate closely with data analysts to provide required data structures.
Requirements
  • Good Data Engineering background.
  • Experience implementing data engineering pipelines for processing and transformation.
  • Working experience with Databricks and Azure Data Factory.
  • Academic degree in a relevant field (Computer Science, Mathematics, Statistics, or similar).
  • Advanced SQL knowledge.
  • Knowledge of Python.
  • PowerBI background.
  • Experience with Agile methodologies.
  • Excellent communication skills in English.

This is a temporary position valid for 1 year, with the possibility of extension and potential for permanent employment.

Additional Information

This selection process will be supported by the consulting firm Ewave.

At Volvo do Brasil, we value the candidate experience and collaborate with approved partners to ensure a professional process aligned with our values.

We are committed to protecting personal data in compliance with the Brazilian LGPD law, ensuring a safe and respectful process.

We do not accept applications via mail.

Who We Are And What We Believe In

Our focus on Inclusion, Diversity, and Equity allows everyone to bring their full authentic self to work. We encourage applications even if you do not meet every qualification, as we will decide together.

Joining Volvo Group offers opportunities to work with trucks, buses, engines, construction equipment, and solutions that enable modern life. With nearly 100,000 employees worldwide, we aim to shape the future of efficient, safe, and sustainable transport.

Group Digital & IT is the digital development hub within Volvo Group, working with cutting-edge technologies across more than 30 countries. We foster a high-curiosity environment where your voice and ideas matter.

Job Details
  • Seniority level: Not Applicable
  • Employment type: Full-time
  • Job function: Science, Analyst, and IT
  • Industry: Motor Vehicle Manufacturing

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