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:

- Create Azure cloud-based solutions to meet regulatory reporting goals and integrate with data sources, the global data platform, and presentation layers;

- Build and deploy ETL solutions in Azure using cloud-native components such as Databricks, Azure Data Factory, and Airflow;

- Identify and manage technical dependencies and risks, ensuring compliance with security and regulatory guidelines;

- Collaborate closely with other data engineers and business stakeholders to ensure high data quality and accessibility;

- Proactively participate in team decisions and challenge proposed solutions when necessary;

- Design, implement, and maintain solutions for complex datasets within the Microsoft Azure stack (Databricks, Azure Data Factory, Azure DevOps pipelines);

- Work together with the team on innovative solutions for complex business problems;

- Create scalable data products that enable self-service business intelligence and promote data-driven decision-making;

- Contribute to the team following DevOps and Agile/Scrum principles;

- Continuously improve systems, processes, and personal expertise to ensure sustainable and high-quality solutions;

- Hybrid Work Model; 

What You Are:

- HBO/WO working and thinking level (higher professional or academic level);

- At least 8 years of experience as a Data Engineer;

- Strong motivation and ability to solve complex technical and business challenges;

- Willingness and courage to work with the latest technologies and introduce them structurally within the team;

- Extensive experience with SQL and developing ETL solutions;

- Experience working with the Azure data platform, including Azure Data Factory, Databricks, Synapse, and Azure DevOps;

- Knowledge of data modeling, for example in Analysis Services or Power BI;

- Fluent in Portuguese and English; 

What youll get:

- Wage according to candidate's professional experience;

- Remote Work whenever possible;

- Allocation of health insurance from the beginning of the employment;

- Delivery of work equipment adjusted to the performance of functions;

- 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?

Together we will promote uniquess!