Data Engineer: SAS to SQL/Python on Azure Synapse Remote

LUZA Group; Lisboa; Híbrido; EUR 42 000 - 64 000; Tempo integral

Vantagens oferecidas por esta oferta de emprego

Remote work when possible

Equipment provided

Benefits plan

Diversity and inclusion

Resumo da oferta

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities.

Are you ready to join a diverse and inclusive team and help deliver data solutions at scale in a hybrid environment?

Qualificações

• 2-3+ years in Data Engineering, Data Development, or similar.
• Strong SQL and Python development, including performance optimization.
• Hands-on Azure Synapse and cloud data platforms experience.
• Experience improving existing data processes and codebases.
• Fluent in Portuguese and English.

Responsabilidades

• Analyze SAS queries and translate into optimized SQL and Python.
• Review and improve legacy logic rather than direct migration.
• Partner with business data analysts to understand reporting needs.
• Act as technical bridge between business and engineering teams.
• Develop and optimize cloud data solutions on Azure Synapse.
• Ensure migrations are cost-efficient by data access optimization.
• Support modernization of reporting and data processing in a cloud environment.
• Hybrid work model supported.

Conhecimentos

SQL

Python

Azure Synapse

Data analysis

Problem solving

SAS

Power BI

Ferramentas

SAS

Power BI

Azure Synapse

Descrição da oferta de emprego

Syffer is an all-inclusive consulting company focused on talent, tech and innovation. We exist to elevate companies and humans all around the world, making change, from the inside to the outside.

We believe that technology + human kindness positively impacts every community around the world. Our approach is simple, we see a world without borders, and believe in equal opportunities.

Are you ready to join a diverse and inclusive team and help deliver data solutions at scale in a hybrid environment?