Responsibilities

• Design, build, and maintain data pipelines and workflows for structured and unstructured data

• Develop and optimize ETL/ELT processes using Python and SQL

• Contribute to the development of internal tools and applications (Python-based)

• Apply best practices for data governance, security, and data quality in day-to-day activities.

• Managing databases and ensuring data quality and reliability.

• Collaborate with cross-functional teams to understand data requirements and implement effective solutions.

• Stay up to date with industry trends, tools, and emerging technologies to continuously improve technical skills and data processes

Qualifications

• 3+ years of experience in data engineering, data science, or software development.

• Strong proficiency in Python and SQL for data manipulation and transformation (required).

• Knowledge of Data Engineering concepts, including data ingestion, transformation, and pipeline monitoring.

• Understanding of data governance, security, and data quality principles.

• Ability to work collaboratively with team members and cross-functional teams.

• Fluency in English (spoken and written).

Nice to have (any of them 😊)

• Experience with cloud platforms such as AWS, Azure, GCP, or Snowflake.

• Familiarity with big data tools.

• Hands-on experience with APIs (e.g., RESTful APIs, GraphQL) and system integration.

• Knowledge of microservices architecture and containerization tools like Docker or Kubernetes.

• Exposure to machine learning workflows, including model training, evaluation, and deployment.

• Understanding of data modeling, data lakes, and data warehouses.

• Fluency in other languages, such as French and/or Spanish is a BIG plus.

Lisbon

Braga

Coimbra

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