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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:
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Design and implement robust, scalable data pipelines (ETL/ELT);
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Develop scalable data models using core analytics platforms such as SAP Data Sphere and Databricks;
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Integrate and harmonize data from multiple sources including SAP systems, e Commerce platforms, CRM systems, IoT devices, and other enterprise solutions;
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Ensure high data quality, reliability, and performance standards.
Enable cutting-edge Data Management:
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Develop reusable, governed data products that accelerate business insights;
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Transform raw data into curated, standardized, and business-ready datasets;
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Contribute to data governance, documentation, and best practices;
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Promote a self-service analytics culture.
Shape the future of AI:
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Empower GenAI business initiatives by providing high-quality semantic data foundations;
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Create and manage semantic models (e.g., with Databricks Genie);
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Support the development of Process Automation Agents within frameworks such as Google Vertex AI;
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Collaborate closely with AI engineers and business stakeholders to enable intelligent automation use cases.
Education
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Master’s degree in Computer Science, AI Engineering, Data Science, or a related field;
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Alternatively, an equivalent combination of education and professional experience.
Experience
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Several years of professional experience in Analytics Engineering or a similar role;
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Strong hands-on experience designing ETL/ELT pipelines, data modeling, and building data products;
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Experience working in agile environments (e.g., SCRUM).
Technical Skills
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Expert-level proficiency in SQL;
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Strong programming skills in Python (or similar);
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Hands-on experience with modern data platforms; expertise in SAP Data Sphere and Databricks is highly valued;
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Experience with version control systems (e.g., Git);
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Solid understanding of AI-driven technologies and data architectures;
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Knowledge of e Commerce business models and related data structures is a plus.
Working Style
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Strong analytical and problem-solving mindset;
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Ability to collaborate effectively with technical partners (e.g., Business Digital Office) and non-technical stakeholders (Global Process Owners, Business Analysts);
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Capable of translating business requirements into scalable and impactful data solutions.
Personality
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Self-driven and proactive, with a strong engineering mindset;
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Passionate about emerging trends in Data & AI;
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Structured, solution-oriented, and focused on quality and scalability;
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Comfortable working in international and cross-functional teams.
Languages
- Fluent in English.
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 don´t just happen. They are made...
Make it happen! We are looking forward to your application!
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.
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About Bosch

Bosch
PublicRobert Bosch GmbH is a multinational engineering and technology company that develops automotive components, industrial technology, consumer goods, and energy solutions. The company operates across multiple sectors including mobility solutions, industrial technology, consumer goods, and building technologies.
10,001+
Employees
Gerlingen
Headquarters
Reviews
3.7
10 reviews
Work Life Balance
3.2
Compensation
3.8
Culture
4.1
Career
4.3
Management
2.9
72%
Recommend to a Friend
Pros
Great people and team environment
Career development and learning opportunities
Good compensation and benefits
Cons
Poor work-life balance expectations
Management issues and favoritism
Lack of clear policies
Salary Ranges
711 data points
Senior/L5
Senior/L5 · Business Development Manager - Press
1 reports
$175,455
total / year
Base
$152,570
Stock
-
Bonus
-
$175,455
$175,455
Interview Experience
7 interviews
Difficulty
2.4
/ 5
Duration
14-28 weeks
Offer Rate
71%
Experience
Positive 14%
Neutral 86%
Negative 0%
Interview Process
1
Application Review
2
Recruiter Screen
3
Technical Interview Round 1
4
Technical Interview Round 2
5
HR Round/Salary Negotiation
6
Offer Extended
Common Questions
Technical Knowledge
Coding/Algorithm
Behavioral/STAR
Past Experience
Project-based Assessment
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