Design, implement, and optimize data engineering architectures and processes, ensuring scalability, security, and efficiency.
Develop and implement data engineering solutions in Azure environments (Data Factory, Synapse Analytics, Databricks, Data Lake, SQL Database).
Build high-performance, reliable data pipelines (ETL/ELT).
Work on data modeling, system integration, and information governance.
Ensure best practices for performance, security, and scalability.
Collaborate with multidisciplinary teams and international stakeholders.
Participate in meetings and presentations in advanced English.

Strong experience in data engineering/solutions.
Proficiency in Microsoft Azure and its key components.
Experience with ETL/ELT and building pipelines.
Knowledge of relational and dimensional data modeling.
Advanced English for technical reading and collaboration with global stakeholders.
Experience in multinational environments and large-scale projects.
Experience with agile methodologies (Scrum/Kanban).
Knowledge of data governance and process automation.
Consultative profile, with strategic vision and results-oriented mindset.

10 working days of vacation
iFood meal/food card
Paid maternity/paternity leave program
Employee referral policy with financial bonus
Wellhub benefit
Equipment provided by Avvale
Optional: Amil 400 health plan + dental (100% covered by Avvale for the consultant)

Senior Data Engineer

Key skills