Senior Data Engineer (f/m/div) – Porto, Portugal (Hybrid) Infineon is seeking a collaborative Senior Data Engineer to join the Software & Data Science team. In this role, you will partner with Finance, Data & Analytics, and IT to design and maintain scalable data pipelines, platforms, and architectures that transform complex financial data into strategic insights. You will develop and optimize ETL/ELT solutions, integrate data from ERP, financial, operational, and external sources, enable analytics and reporting by delivering trusted datasets, and implement data governance, quality, security, and compliance standards. You will build and support modern data warehouses and lakehouses leveraging cloud and container technologies. You will collaborate with Finance, architecture, and technology teams to deliver sustainable, business-focused data solutions, and act as a technical lead and mentor to grow data engineering capabilities within the team. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field; at least 3 years in Data Engineering, Data Architecture, or Business Intelligence; strong SQL, data modelling, and enterprise-scale data platforms; hands-on experience with Python, Spark, and cloud-based data environments such as Azure, AWS, or Google Cloud; strong understanding of data warehouse and lakehouse concepts; fluent English. Preferred: Experience with Databricks, Azure Data Factory, Synapse Analytics, Snowflake, DBT, Airflow, Dagster, SAP or Oracle integrations, finance processes, data visual

Senior Data Engineer (f/m/div) – Porto, Portugal (Hybrid) Infineon is seeking a collaborative Senior Data Engineer to join the Software & Data Science team. In this role, you will partner with Finance, Data & Analytics, and IT to design and maintain scalable data pipelines, platforms, and architectures that transform complex financial data into strategic insights. You will develop and optimize ETL/ELT solutions, integrate data from ERP, financial, operational, and external sources, enable analytics and reporting by delivering trusted datasets, and implement data governance, quality, security, and compliance standards. You will build and support modern data warehouses and lakehouses leveraging cloud and container technologies. You will collaborate with Finance, architecture, and technology teams to deliver sustainable, business-focused data solutions, and act as a technical lead and mentor to grow data engineering capabilities within the team. Qualifications: Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field; at least 3 years in Data Engineering, Data Architecture, or Business Intelligence; strong SQL, data modelling, and enterprise-scale data platforms; hands-on experience with Python, Spark, and cloud-based data environments such as Azure, AWS, or Google Cloud; strong understanding of data warehouse and lakehouse concepts; fluent English. Preferred: Experience with Databricks, Azure Data Factory, Synapse Analytics, Snowflake, DBT, Airflow, Dagster, SAP or Oracle integrations, finance processes, data visual