Data Engineer SAS Migration

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. We are guided by our core principles of spreading positivity, good energy and promote equality and care for others.

Our hiring process is unique! People are selected by their value, education, talent and personality. We dont present ethnicity, religion, national origin, age, gender, sexual orientation or identity.

Its time to burst the bubble, and we will do it together!

What You'll do:

• Analyze existing SAS queries and SAS Query Builder logic and translate them into optimized SQL and Python solutions;
• Review, simplify, and improve legacy logic rather than performing a direct migration;
• Partner with business data analysts to understand reporting and process requirements;
• Act as the technical bridge between business teams and engineering teams;
• Develop and optimize cloud-based data solutions on Azure Synapse;
• Ensure migrated workloads are cost-efficient by applying best practices for data access, filtering, and query optimization;
• Support the modernization of reporting and data processing capabilities within a cloud environment;
• Hybrid Work Model.

Who You Are:

• 2-3+ years of experience in Data Engineering, Data Development, or a similar role;
• Strong SQL and Python development skills, including query performance optimization (mandatory);
• Hands-on experience with Azure Synapse and cloud data platforms (mandatory);
• Experience analyzing and improving existing data processes and codebases;
• Strong analytical and problem-solving skills with the ability to challenge and simplify complex logic;
• Previous exposure to SAS, Power BI, or the Insurance/Financial Services sector is a plus;
• Comfortable working in a hybrid environment with stakeholders across business and technical teams;
• Fluent in Portuguese and English.

What you'll get:

• - Wage according to candidate's professional experience;
• - Remote Work whenever possible;
• - Delivery of work equipment adjusted to the performance of functions;
• - Benefits plan;
• - And others.

Work together with expert teams on projects of large magnitude and intensity, long term together with our clients, all leaders in their industries.

Are you ready to step into a diverse and inclusive world with us?