Senior Azure Data Engineer (Databricks / Data Lake)

Join NFQ!We are a global consulting firm specialized in business, technology, and operations, with over 2,500 professionals across national and international offices.

At NFQ, we offer a different consulting model: Flexible | Scalable | Specialized | Client-Centric.

Senior Azure Data Engineer (Databricks / Delta Lake)We are looking for a Data Engineer with strong experience in Big Data environments on Azure to design, build, and maintain scalable data pipelines within a Lakehouse architecture in the financial sector.

What you will doDesign and develop ETL/ELT pipelines on AzureWork with Azure Data Lake (ADLS Gen2) as the central data repositoryImplement data models based on the Common Data ModelProcess large-scale data using Databricks (Spark / PySpark)Manage data using Delta Lake (ACID transactions, versioning)Enable data consumption through Databricks SQLIntegrate data with APIs and upstream/downstream systemsWhat we are looking forSolid experience in Data Engineering / Big DataStrong hands-on experience with:Azure (Data Lake, Data Factory, Databricks; Synapse is a plus)Python / PySparkAdvanced SQLSolid understanding of Lakehouse architecturesExperience with Delta LakeStrong knowledge of data modelingExperience working in regulated environments (financial sector is a plus)Nice to haveKnowledge of Common Data ModelExperience with Azure DevOps / CI/CD pipelinesBackground in banking, risk, or regulatory reporting📍Work ModelHybrid (3 days onsite – Morumbi, São Paulo) 📍What We OfferCareer path, mentorship, and training in modern recruiting practices.

Access to certifications and language classes.

Dynamic, international environment with cross-country collaboration.

Competitive CLT benefits package (health, dental, life, meal/transport allowances, WellHub).

And much more: a flexible work environment, internal events, wellness initiatives, and more.🔗 Learn more about us: nfq.esYour next professional challenge is just one click away.

Apply now!