AI Analytics Engineer Go to Market (f/m/div.)

Bosch Group; Lisboa; On-site; EUR 60,000 - 85,000; Full time

Benefits offered by this job

Health insurance

Training opportunities

Career progression

Discounts on Bosch products

Sports and health activities

On-site medical office

Job summary

Bosch Group in Aveiro is hiring an AI Analytics Engineer Go to Market. As a Data Engineer, you will build scalable data solutions that digitize procurement and enable AI-driven initiatives in an international team.

You will develop, maintain and improve ETL pipelines and data models, translate business needs into robust transformations, and ensure data quality. The role emphasizes DevOps, CI/CD, and collaboration across projects.

Qualifications

• Master's degree in Computer Science or related field or equivalent professional experience.
• 5+ years of professional experience in data engineering, data modeling, ETL processes and data warehouses/lakehouses.
• Experience designing and operating automated data pipelines and scalable data solutions.
• Practical experience working with data and analytics platforms such as Databricks, Power BI or Tableau.
• Knowledge of DevOps principles, including data testing, CI/CD, monitoring, KPI definition and tracking.

Responsibilities

• Build scalable data solutions that digitalize procurement processes and enable AI-driven initiatives.
• Develop, maintain and continuously improve automated ETL pipelines, data products and data models that support digital procurement and AI use cases.
• Translate customer and stakeholder requirements into robust data transformations and models that enable reporting, analytics and informed decision‑making.
• Establish and continuously improve data integrity, security and quality by working closely with data producers and consumers.
• Support ad‑hoc analyses and develop solutions that can be documented, scaled and reused across the organization.
• Apply DevOps principles to ensure the stability, monitoring and continuous improvement of automated data pipelines, including data testing, CI/CD and KPI tracking.
• Work closely with project management, customers, IT teams and other stakeholders, balancing business needs with technical and organizational frameworks.

Skills

SQL

Python

Education

Master's degree in Computer Science or related field

Tools

Databricks

Power BI

Tableau

Job description

AI Analytics Engineer Go to Market (f/m/div.)

• Full-time
• Legal Entity: Home Comfort

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.

Your contribution to something big:

As a Data Engineer, you will build scalable data solutions that digitalize procurement processes and enable AI-driven initiatives. Working in an international team, you will turn business needs into reliable, high-quality data products.

Build and operate scalable data solutions: Develop, maintain and continuously improve automated ETL pipelines, data products and data models that support digital procurement and AI use cases.

Turn business needs into data solutions: Translate customer and stakeholder requirements into robust data transformations and models that enable reporting, analytics and informed decision‑making.

Ensure data quality and reliability: Establish and continuously improve data integrity, security and quality by working closely with data producers and consumers.

Enable data‑driven decisions: Support ad‑hoc analyses and develop solutions that can be documented, scaled and reused across the organization.

Drive reliable data operations: Apply DevOps principles to ensure the stability, monitoring and continuous improvement of automated data pipelines, including data testing, CI/CD and KPI tracking.

Collaborate internationally: Work closely with project management, customers, IT teams and other stakeholders, balancing business needs with technical and organizational frameworks.

Bring a service‑oriented mindset: Act as a trusted partner for data consumers and stakeholders, focusing on practical solutions and measurable business value.

Explore the future of AI: Stay informed about the latest developments in Generative AI, including agentic AI, and identify opportunities to apply these technologies to real-world business challenges.

What distinguishes you:

Education: Master's degree in Computer Science or a related field, or equivalent professional experience.

Experience

5+ years of professional experience in data engineering, data modeling, ETL processes and data warehouses/lakehouses.

Experience designing and operating automated data pipelines and scalable data solutions.

Practical experience working with data and analytics platforms such as Databricks, Power BI or Tableau.

Know‑how:

Strong proficiency in SQL; experience with Python is an advantage.

Solid understanding of data modeling, ETL/ELT processes, data warehouses and lakehouses.

Proven knowledge of DevOps principles, including data testing, CI/CD, monitoring, KPI definition and tracking.

Understanding of agile software development practices.

Knowledge of current developments in Generative AI and agentic AI, with an interest in applying them to real‑world business challenges.

Ability to design technical concepts and communicate them clearly to both technical and non‑technical audiences.

Working Style and Methods:

Analytical, structured and solution‑oriented.

Strong stakeholder and project management skills.

Collaborative and service‑oriented mindset.

Personality:

Curious, adaptable and eager to turn new technologies into practical solutions.

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

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