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

Bosch; Lisboa; Hybrid; EUR 60,000 - 90,000; Full time

Benefits offered by this job

Flexible work conditions

Hybrid work system

Health insurance and medical office on

site on

Training opportunities and certif

Career progression and development

Discounts in partnerships

Sports and health related activities

Flexible benefits platform

Free parking

Canteen

Job summary

Bosch Aveiro is seeking a Data Engineer to build scalable data solutions that digitalize procurement and AI initiatives. You will join an international team turning business needs into reliable data products.

You will develop ETL pipelines, ensure data quality and enable data-driven decisions, while applying DevOps practices for reliability. Proficiency with Databricks, SQL and Python is valued along with BI tools.

Qualifications

• 5+ years of professional experience in data engineering and data warehouses/lakehouses.
• Experience designing automated data pipelines and scalable data solutions.
• Proficiency with Databricks, Power BI or Tableau.
• Strong SQL; Python is an advantage.
• Knowledge of DevOps, CI/CD, monitoring and KPI tracking.
• Understanding of agile software development practices.
• Knowledge of Generative AI and agentic AI applications.

Responsibilities

• Build, operate and improve automated ETL pipelines and data models for digital procurement and AI use cases.
• Translate business requirements into data transformations for reporting and analytics.
• Ensure data quality, integrity and security across data producers and consumers.
• Support ad-hoc analyses and scalable data solutions for the organization.
• Apply DevOps principles to data pipelines with CI/CD and KPI tracking.
• Collaborate internationally with project teams, customers and IT stakeholders.
• Act as a trusted partner for data consumers, delivering practical data solutions.

Skills

SQL

Python

DevOps practices

Stakeholder management

Analytical thinking

Generative AI awareness

Education

Master's degree in Computer Science or related field

Tools

Databricks

Power BI

Tableau

Job description

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

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.

Qualifications

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.

Languages: Excellent English communication skills.

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

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