Senior Data Engineer: Cloud Pipelines & Snowflake Lead

BrickRed Systems; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Work with cutting-edge technologies

Opportunity to lead data initiatives

Collaborative growth-oriented environment

Resumo da oferta

A leading technology consulting firm in Lisbon is seeking a Senior Data Engineer to design and optimize data pipelines, utilizing cloud platforms and ensuring data quality. The ideal candidate will have over 5 years of experience, strong SQL and cloud expertise, and the ability to lead offshore teams effectively. Join us to work with cutting-edge technologies and lead impactful data initiatives in a collaborative environment.

Qualificações

• 5+ years of experience in data engineering or data warehousing.
• Strong expertise with cloud data platforms (Snowflake, Azure DW, or Redshift).
• Proficiency in SQL and experience with Python or Java.
• Hands-on experience with AWS services (S3, Lambda, Glue, etc.).
• Strong data modeling and performance tuning skills.

Responsabilidades

• Design, develop, and maintain end-to-end data pipelines and integration processes.
• Acquire, ingest, and process data from multiple sources.
• Implement and maintain DBT, AWS, Fivetran, Glue, and HVR pipelines.
• Collaborate with analytics teams for data preparation.
• Lead and mentor offshore team members.

Conhecimentos

Data engineering

SQL

Cloud data platforms

Python

Java

Data modeling

ETL/ELT

Collaboration

Formação académica

Bachelor’s degree in Computer Science

Ferramentas

Snowflake

AWS

DBT

Power BI

Tableau

Descrição da oferta de emprego

A leading technology consulting firm in Lisbon is seeking a Senior Data Engineer to design and optimize data pipelines, utilizing cloud platforms and ensuring data quality. The ideal candidate will have over 5 years of experience, strong SQL and cloud expertise, and the ability to lead offshore teams effectively. Join us to work with cutting-edge technologies and lead impactful data initiatives in a collaborative environment.