Data Engineer

KWAN; Porto; Híbrido; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Competitive salary and benefits

Social and learning events

People Experience Partner for career成长

Resumo da oferta

KWAN is seeking a Data Engineer in Porto who will build and maintain data pipelines and contribute to data warehousing initiatives. The role blends SQL, Python, and PySpark to deliver scalable data solutions in a hybrid Porto environment.

You will collaborate with the Data Engineering team, follow engineering best practices, and apply automation to streamline data workflows while supporting diverse cloud platforms and distributed processing environments.

Qualificações

• 3+ years of professional experience with SQL, Python, and PySpark.
• Experience with data modelling and data storage (Data Warehouses/Data Lakes).
• Knowledge of Git, code reviews, development patterns, and automation.
• Experience with at least one cloud platform (Azure, GCP, or AWS).
• Experience with distributed data ecosystems (Hadoop, Hive, Spark, Databricks).
• Fluent in English and Portuguese; Porto-based with hybrid role.

Responsabilidades

• Develop and maintain data solutions using SQL, Python, and PySpark or equivalent technologies.
• Contribute to design and implementation of Data Warehouse and Data Lake solutions.
• Apply software engineering best practices including versioning, reviews, and automation.
• Work with cloud-based data platforms and distributed processing environments.
• Collaborate with the Data Engineering team to deliver scalable data solutions.
• Contribute to continuous improvement of data engineering processes, tools, and practices.

Conhecimentos

SQL

Python

PySpark

Ferramentas

Azure

GCP

AWS

Hadoop

Hive

Spark

Databricks

Descrição da oferta de emprego

We are looking for a Data Engineer in Porto who's eager to embark on an exciting new opportunity!

About KWAN

We connect IT professionals with projects that match their skills, professional experience, and goals, then we offer a career progression program, delivered by in-house specialists - our People Experience Partners - to guide them through our journey with us.

What is this challenge about:

• Develop and maintain data solutions using SQL, Python, and PySpark or equivalent data processing technologies.
• Contribute to the design and implementation of Data Warehouse and Data Lake solutions.
• Apply software engineering best practices, including code versioning, code reviews, development standards, and automation.
• Work with cloud-based data platforms and distributed data processing environments.
• Collaborate with the Data Engineering team to deliver scalable and reliable data solutions.
• Contribute to the continuous improvement of data engineering processes, tools, and practices.

What we are looking for:

• +3 years Professional experience with SQL, Python, and PySpark, or equivalent data processing technologies.
• Knowledge of data modelling and data storage, particularly Data Warehouses and Data Lakes.
• Familiarity with software engineering best practices, including Git, code reviews, development patterns, and automation.
• Familiarity with at least one major cloud platform, such as Azure, GCP, or AWS.
• Familiarity with distributed data ecosystems, ideally including Hadoop, Hive, Spark, or Databricks.
• Living in Porto (hybrid role).
• Fluent level of English and Portuguese.

What we offer

• A project that matches your skills and ambitions, as well as your preferences for working policies and culture.
• A competitive salary with awesome benefits and opportunities to leverage your knowledge and network to earn additional income.
• An empowering and respectful work culture enriched with social and learning events.
• A People Experience Partner specially assigned to you - your go-to career guide, responsible for supporting your growth, facilitating training, and ensuring your work-life balance at KWAN.

Some Words From Our Colleagues

“At KWAN, they make sure that I feel comfortable with the client I’m working for and that what I’m doing aligns with my career aspirations.”