Reads like a Data Engineer role: pipelines and data infrastructure.
Lisboa, Portugal
Actively hiring, first seen by us 10 days agoEmployment type in the employer’s posting: Full-timeFrom the employer’s posting
Develop and maintain automated ETL pipelines, data products and data models
Translate customer and stakeholder requirements into data transformations and models
Establish and improve data integrity, security and quality with data producers and consumers
Apply DevOps practices such as data testing, CI/CD and KPI tracking to pipelines
Support ad-hoc analyses and build reusable, documented solutions
Develop, maintain and continuously improve automated ETL pipelines, data products and data models
Translate customer and stakeholder requirements into robust data transformations and models
Establish and continuously improve data integrity, security and quality by working closely with data producers and consumers.
Apply DevOps principles to ensure the stability, monitoring and continuous improvement of automated data pipelines, including data testing, CI/CD and KPI tracking.
Support ad-hoc analyses and develop solutions that can be documented, scaled and reused across the organization.
5+ years of professional experience in data engineering, data modeling, ETL processes and data warehouses/lakehouses.
Strong proficiency in SQL; experience with Python is an advantage.
Experience designing and operating automated data pipelines and scalable data solutions.
Solid understanding of data modeling, ETL/ELT processes, data warehouses and lakehouses.
Practical experience working with data and analytics platforms such as Databricks, Power BI or Tableau.
Proven knowledge of DevOps principles, including data testing, CI/CD, monitoring, KPI definition and tracking.
What distinguishes you: Education: Master's degree in Computer Science or a related field, or equivalent professional experience. Experience
Actively hiringFirst seen by us 10 days ago, still listed, and not a repost of an earlier posting.
These dates show when we found the posting. Check the employer’s website to confirm it is still accepting applications.
Day 10
Similar jobs usually come down between day 6 and day 54.
At Bosch Group, jobs usually come down by about day 18.
From 11,594 similar postings that came down, and 307 of Bosch Group’s. Coming down is not always a hire.
46 open jobs
Open jobs by the week we first saw them, last 12 weeks.
Add your resume and we’ll mark which of these tools you already use, and point out anything in the posting that could rule you out.
Know-how: - Strong proficiency in SQL; experience with Python is an advantage. - Solid understanding of data modeling, ETL/ELT processes, data warehouses and 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:
Complete your application on jobs.smartrecruiters.com. The employer’s form will show what is required.
Already applied? Track this application
New Data Engineer postings at the employers we follow are up 8% over the last 5 weeks compared with the 5 before.
Each bar is one week of new postings. The darkest bars are the last 5 weeks.
Counted from the hiring pages we’ve followed for at least five weeks, so employers we add don’t look like growth. Updated weekly.
We file this job under Data Engineer, by the work the posting describes.
Data engineers build and run the pipelines that copy data out of apps and outside services into a warehouse or lake, and fix them when a source changes or a load fails.
Expect SQL, Python, a cloud platform, a scheduler such as Airflow, and often tools for large data such as Spark or Kafka.
An analytics engineer works one step later, turning the raw data a data engineer lands into clean tables people can query.
The government has no code for data engineers, so these figures are for the closest group, database architects, which includes data integration and data warehousing specialists.
Source: US Bureau of Labor Statistics, Occupational Employment and Wage Statistics (May 2025) and Employment Projections (2025 to 2035). Occupation code 15-1243.
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.
Languages: Excellent English communication skills.
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.
Selected passages from the saved posting. Check the full description for conditions and exceptions.
No pay amount identified in the saved description.
Lisboa, Portugal
⚖️ 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
No clear work-authorization passage found. Eligibility is unconfirmed.