Data Engineer - Quantitative Data Intelligence

Siemens Digital Industries Software; São Caetano do Sul; Presencial; BRL 180 000 - 300 000; Tempo integral

Resumo da oferta

Siemens Digital Industries Software is seeking a senior Data Engineer to architect and optimize end-to-end data pipelines for finance analytics. You will design semantic models, enforce governance, and mentor junior engineers while collaborating with data scientists and analysts to deliver ready-to-use datasets for Power BI and Tableau.

Strong Snowflake/dbt and Python skills are required, with experience in cloud platforms (AWS/Azure) and a finance domain background considered a plus.

Qualificações

• Bachelor's or Master's degree in Computer Science, Computer Engineering, Mathematics, or a related field.
• 5+ years of experience in data engineering, including end-to-end data architectures.
• Experience leading or mentoring within data engineering projects or teams.
• Experience in Finance is a plus.

Responsabilidades

• Architect, build, and optimize ETL/ELT pipelines for scalable, reliable finance data platforms.
• Design semantic data models for reporting and analytics.
• Enforce data quality, security, and governance standards.
• Provide technical guidance and mentorship to other data engineers.
• Collaborate with data scientists and business analysts to translate needs into scalable data solutions.
• Deliver curated views to Power BI and Tableau for reporting and visualization.
• Explore and adopt AI engineering practices (GenAI, agents, RAG, graph tech).
• Influence data architecture decisions and contribute to the tech roadmap.

Conhecimentos

Data engineering

Mentoring

Communication

Problem solving

Formação académica

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

Ferramentas

Snowflake

dbt

SQL

Python

Power BI

Tableau

CI/CD

Git

AWS

Azure

Descrição da oferta de emprego

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)
• Strong Python programming skills, including building reusable frameworks/libraries
• 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