08/05/2025 updated
100 % available
Senior Analytics Engineer & Data Warehouse Specialist
porto, Portugal Master in Engineering
AirflowAmazon Web ServicesAmazon S3Data AnalysisBusiness IntelligenceBusiness Intelligence DevelopmentBigQueryCloud ComputingContinuous IntegrationInformation EngineeringExtract Transform Load (ETL)Data ModelingData SystemData WarehousingDialectical Behavior TherapyGithubR (Programming Language)Python (Programming Language)Operational ReportingPower BISQL DatabasesWorkflowsData ProcessingSnowflakeGitContainerizationSoftware Version ControlData PipelineDockerAmazon RedshiftProgramming Languages
Data Warehouse Architecture
Design and implementation of modern data warehouse solutions using Redshift, Snowflake, and BigQuery, with expertise in data modeling and ETL processes.
Business Intelligence Development
Creation of interactive dashboards and reporting solutions using Power BI and other BI tools, delivering actionable insights for executive and operational reporting.
Data Engineering
Implementation of data pipelines and CI/CD workflows using tools like dbt, Airflow, and GitHub Actions to ensure reliable, modular, and consistent data processing.
Cloud Technologies
Experience with AWS services including Redshift, Lambda, and S3 for building scalable data solutions.
Programming Languages
Proficiency in Python, R, and SQL for data analysis, modeling, and manipulation.
Containerization
Knowledge of Docker for creating consistent development environments and deployable applications.
Version Control
Expertise with Git and GitHub Actions for code management and automated workflows.
Design and implementation of modern data warehouse solutions using Redshift, Snowflake, and BigQuery, with expertise in data modeling and ETL processes.
Business Intelligence Development
Creation of interactive dashboards and reporting solutions using Power BI and other BI tools, delivering actionable insights for executive and operational reporting.
Data Engineering
Implementation of data pipelines and CI/CD workflows using tools like dbt, Airflow, and GitHub Actions to ensure reliable, modular, and consistent data processing.
Cloud Technologies
Experience with AWS services including Redshift, Lambda, and S3 for building scalable data solutions.
Programming Languages
Proficiency in Python, R, and SQL for data analysis, modeling, and manipulation.
Containerization
Knowledge of Docker for creating consistent development environments and deployable applications.
Version Control
Expertise with Git and GitHub Actions for code management and automated workflows.
Languages
EnglishFluentPortugueseNative speakerSpanishFluent
Project history
Led a full-stack analytics project: set up data warehouse (redshift), integrated NetSuite data, modeled data with dbt, and delivered embedded Power BI dashboards for client-facing reporting. Integrated Invenias platform data via API into the data warehouse.
Founded a B2B SaaS company delivering pharmacy analytics and operational dashboards, integrating local Oracle data into BigQuery, modeling with dbt, and embedding analytics via Hex. Drove customer discovery and product iteration through direct meetings with pharmacy owners.
Pioneered the analytics engineering team, redesigning the dbt project structure and establishing modeling guidelines. Led end-to-end migration from Redshift to Snowflake, optimizing data architecture. Partnered with business stakeholders to define metrics and developed onboarding programs.