Data Platform Engineer II - ETL, Snowflake & Data Quality

Envision Pharma Group; Portugal; Presencial; EUR 60 000 - 80 000; Tempo integral

Resumo da oferta

Envision Pharma Group is seeking a Data Developer II to build reliable data solutions and support advanced analytics and AI/ML initiatives. You will own complex challenges across the full engineering lifecycle, including design, tests, and DevOps integration for CI/CD.

Join a fast-paced environment where data across the organization must be secure, high quality, and readily available for analytics and decision making.

Qualificações

• Bachelor's degree in CS, Engineering, or related field.
• Hands-on with modern data stack tools such as Fivetran, Snowflake and DBT.
• Experience with cloud data storage and streaming platforms.
• Strong understanding of OOP concepts.
• Experience in Agile environments and SDLC.
• CEFR English level B1 or higher.

Responsabilidades

• Implement and maintain ETL pipelines using Fivetran, Snowflake and DBT.
• Query and analyze data with SQL and Python.
• Develop data models, schemas, and standards documentation.
• Monitor and optimize data pipeline performance and reliability.
• Ensure data quality with validation and testing techniques.
• Collaborate with cross-functional teams and stakeholders.
• Communicate risks, mitigations, and business impact clearly.
• Define technical requirements for new technologies.
• Design data lineage and metadata management practices.
• Support governance and cost optimization for data platforms.

Conhecimentos

SQL

Python

Data modeling

Agile

Cloud data

Formação académica

Bachelor's degree in CS or Engineering

Ferramentas

Fivetran

Snowflake

DBT

Descrição da oferta de emprego

Envision Pharma Group is seeking a Data Developer II to build reliable data solutions and support advanced analytics and AI/ML initiatives. You will own complex challenges across the full engineering lifecycle, including design, tests, and DevOps integration for CI/CD.

Join a fast-paced environment where data across the organization must be secure, high quality, and readily available for analytics and decision making.