Data Engineer **Req Id:** 20996 **Job Family:** Data Management **Location:**Porto, PT, 4100\-136 **Description:**Purpose * As a Data Engineer, you design, develop, and maintain data pipelines and systems. Ensure efficient data processing, storage, and integration aligned with business goals. Collaborate with cross\-functional teams to optimize data workflows and enhance data quality and performance. Responsibilities * Lead and participate in the design, development, and maintenance of data engineering solutions. * Develop and implement robust ETL (Extract, Transform, Load) processes to ensure efficient data integration and transformation. * Collaborate with data scientists, analysts, and other stakeholders to understand data requirements and provide appropriate data solutions. * Design and build scalable data pipelines to support data analytics and machine learning applications. * Ensure data quality and integrity through the implementation of data validation and cleansing processes. * Optimize data storage and retrieval processes for performance and scalability. * Monitor and troubleshoot data engineering workflows to ensure reliability and performance. * Provide technical guidance and mentorship to junior data engineers. * Stay updated with the latest trends and best practices in data engineering and incorporate them into the organization's data strategy. Education * Minimum Bachelor's degree (or eqivalent of) in computer science, information technology, or a related field is required. Certifications in relevant data engineering tools and technologies such as AWS Certified Big Data Specialty, Google Professional Data Engineer, or Microsoft Certified: Azure Data Engineer Associate are highly desirable. Proficiency in English is essential for effective communication with team members, stakeholders, and external vendors. Experience * Minimum of 3 years of experience in data engineering, data management, or a related field. * Proven experience in designing, developing, and maintaining data pipelines and ETL processes. * Strong technical background with hands\-on experience in working with large\-scale data architectures, including data lakes, data warehouses, and real\-time data processing. * Demonstrated ability to develop and implement data engineering best practices and procedures to ensure data quality, reliability, and scalability. * Experience with database design, and data integration using tools such as Apache Spark, Hadoop, and SQL. Data modeling experience is desired. * Proficiency in using data engineering tools and platforms such as AWS, Azure, Google Cloud Platform, and experience in deploying and managing cloud\-based data solutions. * Strong programming skills in languages such as Python, Java, or Scala, with a focus on data processing and manipulation. * Good communication skills, with the ability to work effectively with other team members and stakeholders. * Relevant technology stack certifications i.e. AWS, Azure * Attention to detail, problem\-solving skills are desired for root cause analysis and addressing it with the appropriate solution. Functional Competencies Compliance Governance, Risk and Control Analytics and reporting IT Tools and application Cost and budget control Business Partnering Digital savvy Business Acumen Contract Management Management of change application