Senior Analytics Engineer (f/m/div.)

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.

Bosch Service Solutions in Lisbon develops and offers Customer Experience, Mobility, and Monitoring solutions for its clients, and plays a prominent role in providing Engineering and Software Development services in the technology market. Every day, our teams find fast, efficient, and innovative solutions for thousands of people.

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

• Develop, operate, and maintain automated, scalable ETL pipelines and data products to digitalize procurement processes and support AI initiatives.
• Translate customer requirements into data transformations and models that facilitate reporting decision-making.
• Ensure and continuously improve data integrity, security and quality by collaborating closely with data producers and consumers.
• Support ad-hoc analyses and be responsible for documenting and scaling data solutions.
• Collaborate within an international team, effectively balancing the interests of project management, customers and IT frameworks.
• Foster and demonstrate a service-oriented, data-driven mindset in your work environment.

Qualifications

What Distinguishes You

• Master's degree in Computer Science or a related field, or equivalent professional experience.
• 5+ years of experience in data modeling, data engineering, ETL processes and data warehouses/lakehouses, with proficiency in SQL; Python is a plus.
• Experience with tools along the data stack such as dbt, Databricks and Power BI/Tableau.
• Proven expertise in DevOps principles, focusing on the stability, reliability and monitoring of automated data pipelines (data testing, CI/CD, KPI definition and tracking, …).
• Practical knowledge of agile software development, alongside strong project and stakeholder management skills.
• You're up to date with the lates advancements in (agentic) GenAI and how to apply them to real world challenges.
• Ability to design and communicate technical concepts effectively to both technical and non-technical audiences.
• Excellent communication skills in English, resilience, and a strong analytical and conceptual mindset