Analytics Engineer – Sales & AI (f/m/div)

Lisboa, Portugal

9 hours ago

Bosch

Company Description

The Bosch Group has more than 400 000 employees around the world, present in 60 countries, and we are proud to impact people’s lives and to work towards a more sustainable future.

In the city of Aveiro, Bosch has one of its biggest production sites for Bosch Home Comfort division, as well as a Research and Development Center for new and improved heating solutions for the residential segment. With more than 1400 employees, focused on innovation, sustainability and collaboration, Bosch Aveiro joins together experts in diverse areas, from mechanical engineering to connectivity and software solutions, as well as industrialization and quality.

At Bosch, we shape the future by inventing high-quality technologies and services that spark enthusiasm and enrich people’s lives. Our promise to our associates is rock-solid: we grow together, we enjoy our work, and we inspire each other. Join in and feel the difference in mindsets, cultures, generations, identities and perspectives. Everyone should bring their authenticity and work together respectfully. Bosch is an employer that values diversity and equal opportunities. We welcome applications from people with disabilities and we can provide reasonable accommodations during the recruitment process and in the performance of professional activity. By including everyone and ensuring equal opportunities we unleash our full potential.

Job Description

You will design, build, and operate the data solutions that power our business analytics and next-generation AI applications. Your work will be critical in fostering a truly data-driven culture and enabling intelligent business outcomes across global sales organizations.

Take responsibility:

Design and implement robust, scalable data pipelines (ETL/ELT);

Develop scalable data models using core analytics platforms such as SAP Data Sphere and Databricks;

Integrate and harmonize data from multiple sources including SAP systems, eCommerce platforms, CRM systems, IoT devices, and other enterprise solutions;

Ensure high data quality, reliability, and performance standards.

Enable cutting-edge Data Management:

Develop reusable, governed data products that accelerate business insights;

Transform raw data into curated, standardized, and business-ready datasets;

Contribute to data governance, documentation, and best practices;

Promote a self-service analytics culture.

Shape the future of AI:

Empower GenAI business initiatives by providing high-quality semantic data foundations;

Create and manage semantic models (e.g., with Databricks Genie);

Support the development of Process Automation Agents within frameworks such as Google Vertex AI;

Collaborate closely with AI engineers and business stakeholders to enable intelligent automation use cases.

Qualifications

Education

Master’s degree in Computer Science, AI Engineering, Data Science, or a related field;

Alternatively, an equivalent combination of education and professional experience.

Experience

Several years of professional experience in Analytics Engineering or a similar role;

Strong hands-on experience designing ETL/ELT pipelines, data modeling, and building data products;

Experience working in agile environments (e.g., SCRUM).

Technical Skills

Expert-level proficiency in SQL;

Strong programming skills in Python (or similar);

Hands-on experience with modern data platforms; expertise in SAP Data Sphere and Databricks is highly valued;

Experience with version control systems (e.g., Git);

Solid understanding of AI-driven technologies and data architectures;

Knowledge of eCommerce business models and related data structures is a plus.

Working Style

Strong analytical and problem-solving mindset;

Ability to collaborate effectively with technical partners (e.g., Business Digital Office) and non-technical stakeholders (Global Process Owners, Business Analysts);

Capable of translating business requirements into scalable and impactful data solutions.

Personality

Self-driven and proactive, with a strong engineering mindset;

Passionate about emerging trends in Data & AI;

Structured, solution-oriented, and focused on quality and scalability;

Comfortable working in international and cross-functional teams.

Languages

Fluent in English.

Additional Information

Work #LikeABosch includes:

⚖️ Flexible work conditions

🔀 Hybrid work system