Senior Analytics Engineer | Braga

Description

Job Summary: This key role focuses on developing data pipelines, analytical products, and scalable solutions to digitize processes and support artificial intelligence initiatives. Key Highlights: 1. Develop, operate, and maintain automated and scalable ETL pipelines 2. Collaborate within an international team and support ad-hoc analyses 3. Promote a service-oriented and data-driven mindset Bosch is recruiting a Senior Analytics Engineer to join its team in Braga, with a hybrid work model. The Bosch Group employs over 400,000 associates worldwide across 60 countries and develops technologies and services aimed at improving people's lives and contributing to a more sustainable future. This role will play a key part in developing data pipelines, analytical products, and scalable solutions to digitize procurement processes and support artificial intelligence initiatives. **Responsibilities:** Develop, operate, and maintain automated, scalable ETL pipelines and data products; Support the digitization of procurement processes and artificial intelligence initiatives; Translate customer requirements into data transformations and models that facilitate reporting and decision-making; Ensure and continuously improve data integrity, security, and quality; Collaborate closely with data producers and consumers; Support ad-hoc analyses; Document and scale data solutions; Collaborate within an international team, balancing project management, customer, and IT framework interests; Promote a service-oriented and data-driven mindset in the workplace. **Requirements:** Master’s degree in Computer Science or a related field, or equivalent professional experience; More than 5 years of experience in data modeling, data engineering, ETL processes, and data warehouses or lakehouses; Proficiency in SQL; Experience with data stack tools such as dbt, Databricks, and Power BI/Tableau; Proven experience with DevOps principles, focusing on stability, reliability, and monitoring of automated data pipelines; Knowledge of data testing, CI/CD, and definition and tracking of KPIs; Practical knowledge of agile software development; Strong project and stakeholder management skills; Up-to-date knowledge of GenAI advancements, including agentic approaches, and their application to real-world challenges; Ability to design and communicate technical concepts to both technical and non-technical audiences; Excellent English communication skills; Resilience and strong analytical and conceptual capabilities. **Preferred Qualifications:** Python knowledge. **Offer:** Flexible working conditions; Hybrid work model; Interaction and collaboration with colleagues worldwide; Health insurance and on-site medical office; Training opportunities; Career progression and continuous professional development opportunities; Access to discounts on Bosch partnerships and products; Sports- and health-related activities; Good access to public transportation; Free parking; Cafeteria. **Application:** If you are seeking a new challenge in analytics engineering, data, and artificial intelligence, submit your application and join Bosch. **Diversity and Inclusion:** Bosch values diversity and equal opportunity. The company encourages applications from individuals with diverse mindsets, cultures, generations, identities, and perspectives—including persons with disabilities—and may provide reasonable accommodations during the recruitment process and in performing job duties.