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Tech Stack
Tools & technologiesAzureCloudETLOraclePySparkPythonSQLVault
About the role
Key responsibilities & impact- Design, develop, and evolve data architectures on Microsoft Fabric using Lakehouse, Data Factory/Pipelines, Notebooks, OneLake, and other platform components
- Develop data ingestion, transformation, and serving pipelines from multiple sources, especially Oracle Cloud, APIs, and Snowflake
- Implement ETL/ELT processes using SQL, Python, and PySpark, including incremental loads, error handling, reprocessing, traceability, and quality validations
- Build and evolve Lakehouse and Medallion architectures (Bronze, Silver, and Gold), ensuring scalability, data quality, and governance
- Develop data models and analytical structures aligned with business needs, including dimensional modeling and Star Schema
- Monitor pipelines, loads, and Microsoft Fabric environments, identifying bottlenecks and optimizing performance, capacity, and resource consumption
- Analyze and resolve incidents, perform troubleshooting, and identify root causes related to data processes
- Implement security, governance, and access control practices, including RBAC/RLS and secure credential and secret management
- Contribute to defining technical standards, development best practices, documentation, and the evolution of the data architecture
- Collaborate with international teams, technical departments, and business stakeholders in a collaborative, distributed environment
Requirements
What you’ll need- Intermediate or advanced Spanish proficiency
- Solid experience as a Data Engineer / Senior Data Engineer
- Hands-on experience with Microsoft Fabric
- Knowledge of the main Fabric components: OneLake, Lakehouse, Data Factory/Pipelines, Dataflows Gen2, Warehouse, and Notebooks
- Experience with Python, PySpark, and SQL applied to data engineering
- Experience with Delta Lake, Parquet, and Medallion architecture (Bronze/Silver/Gold)
- Experience with ETL/ELT processes, incremental loads, error handling, reprocessing, and data quality
- Experience integrating and ingesting data from different sources, especially Oracle Cloud/OCI, APIs, and Snowflake
- Knowledge of dimensional modeling, Star Schema, and analytical structures
- Experience monitoring, troubleshooting, and optimizing the performance of data pipelines and loads
- Knowledge of security, governance, access control, and secret management in cloud environments
- Ability to work autonomously, take ownership, and interface with technical and business teams
- Certifications related to Microsoft Fabric, Azure Data Engineer, Power BI, or Snowflake (a plus)
- Experience with Fabric Capacity and consumption/cost optimization (a plus)
- Experience with Dataflows Gen2 and Fabric Warehouse (a plus)
- Knowledge of Azure Key Vault, RBAC, RLS, and cloud security practices (a plus)
- Experience with CI/CD, Git, Azure DevOps, and DataOps practices (a plus)
- Experience with Power BI and semantic models (a plus)
- Experience working on international projects and with distributed teams (a plus)
- Experience with high-volume data environments and scalable architectures (a plus)
Benefits
Comp & perks- Health and dental insurance
- Meal and food allowance on a Flash card
- Transportation allowance or mobility assistance
- Hybrid work allowance
- Gympass / Wellhub
- Life insurance
- Extended maternity/paternity leave
- Various education, healthcare, and leisure partnerships and discounts (universities, language schools, gyms, healthcare clinics, and more)
- Continuous feedback culture, including semiannual feedback, 1:1 meetings, an Individual Development Plan (IDP), and BHS Experience