Data Engineer - Quantitative Data Intelligence

Siemens Mobility; São Paulo; Híbrido; BRL 180 000 - 320 000; Tempo integral

Resumo da oferta

Siemens Industry Software Ltda. seeks a mid-level Data Engineer to architect and optimize finance data pipelines, delivering reliable datasets to Power BI and Tableau for reporting and analytics.

The role emphasizes data governance, collaboration with data scientists, and mentoring engineers, with a hybrid work model in a globally distributed environment.

Qualificações

• 5+ years of experience in data engineering, including end-to-end data architectures.
• Proven track record of leading or mentoring within data engineering projects or teams.
• Experience in Finance is a plus.

Responsabilidades

• Architect, build, and optimize ETL/ELT pipelines, ensuring scalability, reliability, and performance.
• Design and own semantic data models that make complex financial data accessible and consistent for reporting and analytics.
• Define and enforce best practices for data quality, security, and compliance with governance standards.
• Provide technical guidance and mentorship to other data engineers, promoting engineering best practices and code quality.
• Collaborate with data scientists and business analysts to translate business needs into scalable data solutions.
• Deliver curated views and datasets to Power BI and Tableau for reporting and visualization.
• Drive exploration and adoption of AI engineering practices, including GenAI, agents, RAG, and graph-based approaches.
• Influence data architecture decisions and contribute to the technical roadmap for the Finance data platform.
• Partner with a globally distributed team, adapting to different time zones and working styles.

Conhecimentos

Mentor junior team

Cross-functional collaboration

Problem solving

Communicate complex concepts

Formação académica

Bachelor's or Master's in CS/CE/Math

Ferramentas

Snowflake

dbt

SQL

Data modeling

SAP

S/4HANA

ABAP

AWS

Azure

Power BI

Tableau

CI/CD

Descrição da oferta de emprego

Job ID

519340

Posted since

25-Aug-2026

Organization

Field of work

Finance

Company

Siemens Industry Software Ltda.

Mid-level Professional

Job type

Full-time

Hybrid (Remote/Office)

Employment type

Permanent

Location(s)

We are a leading global software company dedicated to the world of computer aided design, 3D modeling and simulation— helping innovative global manufacturers design better products, faster! With the resources of a large company, and the energy of a software start-up, we have fun together while creating a world class software portfolio. Our culture encourages creativity, welcomes fresh thinking, and focuses on growth, so our people, our business, and our customers can achieve their full potential.

Responsibilities

• Architect, build, and optimize ETL/ELT pipelines, ensuring scalability, reliability, and performance
• Design and own semantic data models that make complex financial data accessible and consistent for reporting and analytics
• Define and enforce best practices for data quality, security, and compliance with governance standards
• Provide technical guidance and mentorship to other data engineers, promoting engineering best practices and code quality
• Collaborate closely with data scientists and business analysts to translate business needs into scalable data solutions
• Deliver curated views and datasets to Power BI and Tableau for reporting and visualization
• Drive the exploration and adoption of AI engineering practices, including GenAI, agents, RAG (Retrieval-Augmented Generation), and graph-based approaches
• Influence data architecture decisions and contribute to the technical roadmap for the Finance data platform
• Partner with a globally distributed team, adapting to different time zones and working styles, and acting as a technical point of contact for cross-functional stakeholders

Qualifications

Education

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related field

Experience

• 5+ years of experience in data engineering, including experience designing data architectures end-to-end
• Proven track record of leading or mentoring within data engineering projects or teams
• Experience in Finance is a plus

Technical Skills

• Strong knowledge of Snowflake and dbt, including performance tuning and architecture design
• Advanced proficiency in SQL and data modeling (dimensional/semantic modeling at scale)
• Familiarity with SAP, S/4HANA, and ABAP is a plus
• Solid knowledge of cloud platforms (AWS, Azure), including data infrastructure and cost/performance optimization
• Hands-on interest and experience in AI engineering, GenAI, agents, RAG, and graph technologies
• Experience delivering data to BI tools such as Power BI and Tableau, including data model design for reporting layers
• Familiarity with CI/CD, version control, and data pipeline orchestration/testing best practices

Soft Skills

• Strong problem-solving skills and the ability to design data solutions for ambiguous, complex business problems
• Excellent communication skills, with the ability to explain complex technical concepts to non-technical stakeholders and influence decision-making
• Demonstrated ability to mentor junior team members and elevate engineering standards
• Ability to thrive in and help lead within a dynamic, collaborative, globally distributed team environment

Language Requirements

This position will be subject to U.S. export control requirements under the International Traffic in Arms Regulations (ITAR) and/or Export Administration Regulations (EAR). Employment is contingent on either verifying the U.S. Person status or obtaining any necessary export license.

Why us?

Working at Siemens Software means flexibility - Choosing between working at home and the office at other times is the norm here. We offer great benefits and rewards, as you'd expect from a world leader in industrial software.

A collection of over 377,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit, and business need. Bring your curiosity and creativity and help us shape tomorrow!