Head Data Engineer — Remote & Impactful Analytics Leader

Siemens Energy; Amadora; On-site; EUR 65,000 - 95,000; Full time

Benefits offered by this job

Competitive salary and meal allowance

Health insurance coverage

Remote work within country

Fair compensation for international工作

Pontes days off

Job summary

Siemens Energy in Portugal is seeking a Lead Data Engineer to drive data-driven product analytics and architectural decisions. You will collaborate with the product team to translate requirements into scalable data solutions, define KPIs, and influence product evolution.

You will build reusable data components and reference architectures while communicating effectively across a global, multicultural environment. English fluency is essential; German or other languages are a plus.

Qualifications

• Bachelor's degree in CS, math, engineering, physics or related field; Master's is a plus.
• Hands-on experience collaborating with product teams across disciplines.
• Strong analytical and data-driven decision-making abilities; excellent communication.
• Proficiency in Python and AWS CDK; knowledge of other languages a plus.

Responsibilities

• Engage in product and project management with the product team to improve understanding and performance.
• Define and analyze KPIs to inform product evolution and business impact.
• Communicate design architecture while aligning with business requirements and value.
• Develop reusable components and reference architectures to apply data and analytics best practices.
• Build strong relationships by translating client needs into actionable requirements.

Skills

Cross-functional collaboration

Analytical skills

Data-driven decision making

Product optimization

Communication

English fluency

Education

Bachelor's or Master's in a related field

Tools

Python

AWS CDK

Job description

Siemens Energy in Portugal is seeking a Lead Data Engineer to drive data-driven product analytics and architectural decisions. You will collaborate with the product team to translate requirements into scalable data solutions, define KPIs, and influence product evolution.

You will build reusable data components and reference architectures while communicating effectively across a global, multicultural environment. English fluency is essential; German or other languages are a plus.