Analytics Engineer – Sales & AI (fmdiv)

Lisbon - Portugal

Monthly Salary: Not Disclosed

Posted on: 7 hours ago

Vacancies: 1 Vacancy

Job Summary

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

Masters 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

Exchange with colleagues around the world

Health insurance and medical office on site (general surgeon psychology physiotherapy general clinic)

Training opportunities (p.e. technical training foreign languages training) & certifications

Opportunities for career progression and continuous professional development

Access to great discounts in partnerships and Bosch products

Sports and health related activities

Flexible benefits platform

Free parking lot

Canteen

Success stories dont just happen. They are made...

Make it happen! We are looking forward to your application!

Remote Work :

Employment Type :

Full-time