Lisbon Data Engineer: Cloud Pipelines & Analytics (AWS)

IT International Mobility; Lisboa; Presencial; EUR 45 000 - 65 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Continuous learning opportunities

Innovative work environment

Focus on diversity and inclusion

Team spirit and collaboration

Resumo da oferta

A leading technology firm in Lisbon is looking for a Data Engineer to support a client in the financial services industry. The role requires expertise in building cloud-native data pipelines and strong proficiency in AWS and Python. You will join an Agile Scrum team focused on creating data solutions that drive business impact. This position values analytical skills, collaboration, and offers continuous learning opportunities in a diverse environment.

Qualificações

• Proven experience building data pipelines and managing data on AWS.
• Strong skills in SQL, including complex queries and analytical database programming.
• Proficient in Python and data libraries such as Pandas and Boto3.

Responsabilidades

• Develop and maintain cloud-native data pipelines handling batch and streaming data.
• Architect high-performance data solutions supporting business and analytics needs.
• Collaborate with cross-functional teams, supporting production and continuous improvement.

Conhecimentos

Building data pipelines

SQL proficiency

Python

Analytical database programming

Data governance

Agile mindset

Collaboration

Formação académica

Degree in Engineering or related discipline

Ferramentas

AWS

Snowflake

Terraform

CloudFormation

Tableau

GitHub/GitLab

Jira

Descrição da oferta de emprego

A leading technology firm in Lisbon is looking for a Data Engineer to support a client in the financial services industry. The role requires expertise in building cloud-native data pipelines and strong proficiency in AWS and Python. You will join an Agile Scrum team focused on creating data solutions that drive business impact. This position values analytical skills, collaboration, and offers continuous learning opportunities in a diverse environment.