08/24/2026 updated
100 % available
Senior Data Engineer | Python | PySpark | Azure | ETL/ELT | Power BI
Lisbon, Portugal
Only remote
PhD in Physics (Candidate), University of Lisbon, PortugalAbout me
Senior Data Engineer (4+ yrs): ETL/ELT pipelines, Azure, SQL, Python, PySpark, Power BI/DAX. Based in Portugal (CET, EU), available for remote B2B contracts across Europe, no sponsorship needed. Reliable, deadline-driven, direct stakeholder collaboration.
Azure Kubernetes ServiceAzure DatabricksdbtAzure DevOpsSql Data WarehouseApache AirflowData AnalysisBash ShellBusiness IntelligenceBusiness Intelligence DevelopmentBig DataC++ (Programming Language)Data ArchitectureData InfrastructureData Integration
Data Engineering & ETL/ELT Pipelines
Extensive experience in designing, developing, and maintaining ETL/ELT pipelines using PySpark, SQL, SQL Server, Oracle, MySQL, and SSIS. Integration of multiple data sources into data lakes and data warehouse environments, including data quality checks and automation practices.
Cloud & Data Platforms
Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics, and Snowflake for building scalable, cloud-based data architectures. Optimization of cloud data solutions for performance, scalability, and operational efficiency.
Python & SQL Programming
Strong proficiency in Python and SQL for data processing, automation, analytical workflows, and statistical analysis. Additional programming knowledge in C++, R, and VBA for scientific computing and industrial data systems.
Data Modeling
Design and optimization of dimensional data models, including star schema and snowflake architectures, for public sector, budgetary, financial, and healthcare projects.
Business Intelligence & Power BI
Building and optimizing Power BI dashboards and semantic models using advanced DAX and performance tuning techniques. Development of automated reports and dashboards for business and supply chain analytics.
Database Management
Experience with SQL Server, Oracle, MySQL, and PostgreSQL. SQL optimization and troubleshooting in large-scale data environments supporting financial and healthcare systems.
Scientific Computing & Statistical Analysis
Performance of statistical analysis, reproducible data processing, and simulation validation in a research context. Development of automated processing routines for calibration workflows using Python and C++.
Tools & Version Control
Proficiency in Git for version control, Linux environments, and Excel for data analysis and reporting tasks.
Extensive experience in designing, developing, and maintaining ETL/ELT pipelines using PySpark, SQL, SQL Server, Oracle, MySQL, and SSIS. Integration of multiple data sources into data lakes and data warehouse environments, including data quality checks and automation practices.
Cloud & Data Platforms
Hands-on expertise with Azure Data Factory, Databricks, Synapse Analytics, and Snowflake for building scalable, cloud-based data architectures. Optimization of cloud data solutions for performance, scalability, and operational efficiency.
Python & SQL Programming
Strong proficiency in Python and SQL for data processing, automation, analytical workflows, and statistical analysis. Additional programming knowledge in C++, R, and VBA for scientific computing and industrial data systems.
Data Modeling
Design and optimization of dimensional data models, including star schema and snowflake architectures, for public sector, budgetary, financial, and healthcare projects.
Business Intelligence & Power BI
Building and optimizing Power BI dashboards and semantic models using advanced DAX and performance tuning techniques. Development of automated reports and dashboards for business and supply chain analytics.
Database Management
Experience with SQL Server, Oracle, MySQL, and PostgreSQL. SQL optimization and troubleshooting in large-scale data environments supporting financial and healthcare systems.
Scientific Computing & Statistical Analysis
Performance of statistical analysis, reproducible data processing, and simulation validation in a research context. Development of automated processing routines for calibration workflows using Python and C++.
Tools & Version Control
Proficiency in Git for version control, Linux environments, and Excel for data analysis and reporting tasks.
Experience
Professional experience5 - 10 years
Freelancer since2021
Languages
EnglishFluentPortugueseNative speakerSpanishGood
Project history
Designed and optimized dimensional data models including star schema and snowflake architectures for public sector and budgetary projects. Developed and maintained ETL pipelines using SQL Server, Oracle, MySQL, and SSIS. Built and optimized Power BI dashboards and semantic models using advanced DAX and performance tuning techniques. Performed SQL optimization and troubleshooting in large-scale data environments supporting financial and healthcare systems.
Built data pipelines and calibration workflows using Python and C++. Performed statistical analysis, reproducible data processing, and simulation validation. Developed automated processing routines that reduced manual work and improved calibration precision.
Designed and implemented data pipelines using Azure Data Factory, Synapse Analytics, and Databricks. Developed ETL workflows with PySpark and SQL for large-scale data integration into data lakes and data warehouse environments. Applied data quality checks and automation practices to improve reliability and maintainability of pipelines. Optimized cloud data architectures for scalability, performance, and operational efficiency.