Senior Data Engineer (f/m/div)

Infineon Technologies AG; Porto; On-site; EUR 65,000 - 90,000; Full time

Job summary

Infineon Technologies AG in Porto is seeking a Senior Data Engineer to design and maintain scalable data pipelines and architectures supporting Finance and business processes.

You will drive ETL/ELT solutions across ERP, financial, and external data sources, enabling analytics and trusted datasets for stakeholders. The role emphasizes data governance, security, and modern data warehouse/lakehouse concepts.

Qualifications

• Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
• At least 3 years of experience in Data Engineering, Data Architecture, or Business Intelligence
• Strong knowledge of SQL, data modelling, and enterprise-scale data platforms
• Hands-on experience with Python, Spark, and cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud
• Fluent English communication skills

Responsibilities

• Design and maintain scalable data pipelines, platforms, and architecture that support enterprise Finance and business processes
• Develop and optimize ETL/ELT solutions integrating data from ERP, financial, operational, and external sources
• Enable analytics and reporting capabilities by providing trusted, high-quality datasets for business stakeholders and data consumers
• Implement and maintain data governance, quality, security, and compliance standards to ensure reliable and accurate data assets
• Build and support modern data warehouse and lakehouse solutions, leveraging cloud and container technologies
• Collaborate with Finance, architecture, and technology teams to deliver sustainable and business-focused data solutions
• Act as a technical lead and mentor, sharing knowledge and supporting the development of data engineering capabilities within the team

Skills

SQL

Data Modelling

Enterprise Data Platforms

Python

Spark

English (Fluent)

Education

Degree in Computer Science/Data Science/Information Systems/Engineering

Tools

Databricks

Azure Data Factory

Synapse Analytics

Snowflake

DBT

Airflow

Dagster

SAP integrations

Oracle integrations

Job description

Your Role

Key responsibilities in your new role

As a Senior Data Engineer, you will partner with Finance, Data & Analytics, and IT teams to build robust data ecosystems that transform complex financial data into strategic business insights. You will play a key role in our digital transformation journey by driving best practices in data engineering, architecture, and governance.

• Design and maintain scalable data pipelines, platforms, and architecture that support enterprise Finance and business processes
• Develop and optimize ETL/ELT solutions integrating data from ERP, financial, operational, and external sources
• Enable analytics and reporting capabilities by providing trusted, high-quality datasets for business stakeholders and data consumers
• Implement and maintain data governance, quality, security, and compliance standards to ensure reliable and accurate data assets
• Build and support modern data warehouse and lakehouse solutions, leveraging cloud and container technologies
• Collaborate with Finance, architecture, and technology teams to deliver sustainable and business-focused data solutions
• Act as a technical lead and mentor, sharing knowledge and supporting the development of data engineering capabilities within the team

Your Profile

Qualifications and skills to help you succeed

We are looking for a collaborative and business-oriented professional with a strong data mindset and a passion for turning complex information into meaningful business outcomes. You combine analytical thinking with a pragmatic approach, communicate effectively with stakeholders across functions, and thrive in environments where teamwork, continuous learning, and knowledge sharing are valued.

Mandatory

• A Bachelor's or Master's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field
• At least 3 years of experience in Data Engineering, Data Architecture, or Business Intelligence
• Strong knowledge of SQL, data modelling, and enterprise-scale data platforms
• Hands-on experience with Python, Spark, and cloud-based data environments such as Microsoft Azure, AWS, or Google Cloud
• Strong understanding of data warehouse, lakehouse, and modern data architecture concepts
• Fluent English communication skills

Preferred

• Experience with Databricks, Azure Data Factory, Synapse Analytics, Snowflake, DBT, Airflow, Dagster, SAP or Oracle integrations, Finance processes, data visualization platforms, AI or machine learning solutions, and technical project leadership

Please send us your CV in English.

Contact: Carla Almeida, LinkedIn

#WeAreIn for driving decarbonization and digitalization. As a global leader in semiconductor solutions in power systems and IoT, Infineon enables game-changing solutions for green and efficient energy, clean and safe mobility, as well as smart and secure IoT. Together, we drive innovation and customer success, while caring for our people and empowering them to reach ambitious goals. Be a part of making life easier, safer and greener. Are you in?

We are on a journey to create the best Infineon for everyone. This means we embrace diversity and inclusion and welcome everyone for who they are. At Infineon, we offer a working environment characterized by trust, openness, respect and tolerance and are committed to give all applicants and employees equal opportunities. We base our recruiting decisions on the applicant´s experience and skills. Learn more about our various contact channels.

We look forward to receiving your resume, even if you do not entirely meet all the requirements of the job posting. Please let your recruiter know if they need to pay special attention to something in order to enable your participation in the interview process. Click here for more information about Diversity & Inclusion at Infineon.