.Data Engineer - Mid SeniorLisboa Lisboa, Lisboa, Portugal Hi there!We are Capgemini Engineering, a brand part of the Capgemini Group.We have the mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, diversity, inclusion, a purpose of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create changing innovations that impact billions of lives around the world.Your MissionCapgemini Engineering is constantly growing and attentive to market opportunities and in search of the best professionals to join its team. We are looking for a Data Engineer to join our team, on a hybrid format, with the possibility of participating in many interesting and cutting-edge projects.Your Role: Assume leadership initiatives/responsibilities. Design, develop, and maintain scalable and efficient data-centric applications and systems. Collaborate with functional teams to implement new features and enhancements in cloud environments like AWS or GCP. Architect, build, and optimize data pipelines ensuring reliability, scalability, and compliance with industry standards. Conduct thorough data analysis, modeling, and interpretation to drive insights and support decision-making processes. Create and maintain ELT/ETL processes, focusing on data quality, reliability, and efficiency. Support ongoing AI & Analytics operations and systems, interpret trends. Communicate findings, proposals, and technical solutions effectively to diverse stakeholders. Teamwork in a data-driven, solution-oriented, and critical thinking environment is greatly encouraged and valued.Your Profile: 4 or more years of experience in data engineering roles with expertise in building and maintaining data pipelines, systems, and applications. Proficient in data warehouse design, implementation, and optimization, leveraging ETL/ELT processes, schema modeling, and ensuring efficient data retrieval for analytical purposes. Proficient in Python and one additional programming/querying language used for data engineering (Java, SQL, NoSQL, or similar). Hands-on experience with cloud platforms like AWS, GCP, or Azure. Strong understanding of data modeling, both SQL and NoSQL, with expertise in distributed systems design. Experience with big data technologies such as Spark or other distributed processing technologies and familiarity with tools like Airflow for workflow orchestration. Knowledge of data governance, metadata management, and best practices in ensuring data quality and compliance. Excellent communication skills and the ability to collaborate effectively in cross-functional teams. Analytical mindset, attention to detail, and problem-solving skills to address complex data challenges. Familiarity with Standard AI/ML processes & Operations is greatly valued. Degree in computer science, software engineering, or related engineering domains
