We're looking for a Senior Data Engineer who combines strong technical expertise with a consultative mindset.
In this role, you'll work directly with business stakeholders to understand their challenges, translate requirements into technical solutions, and build reliable data products that enable better decisions. You'll have the autonomy to propose solutions, influence technical direction, and own initiatives from discovery to delivery.
Partner directly with business stakeholders to understand needs and translate them into scalable data solutions.
Design, build, and maintain reliable data pipelines and data products.
Develop and optimize complex SQL transformations for performance, scalability, and data quality.
Build and maintain dbt models that enable trusted and reusable data assets.
Own solutions end-to-end: requirements, design, development, testing, deployment, and support.
Collaborate with global teams and contribute to data architecture, automation, and engineering best practices.
Leverage AI-enabled development tools to improve productivity, documentation, and delivery.
Must-Have
5+ years of experience in Data Engineering
Advanced SQL skills.
Strong hands-on experience with dbt
Experience with AWS, Azure, or GCP.
Ability to translate business requirements into technical solutions.
Strong stakeholder management and communication skills.
Advanced English for collaboration in a global environment.
Ability to work independently and take ownership from concept to delivery.
Nice-to-Have
Python for automation, data processing, or pipelines.
Experience with Snowflake
Exposure to Data Products, Data Mesh, Data Governance, or modern analytics architectures.
Experience with AI-assisted development tools such as GitHub Copilot or similar.
You'll have the opportunity to work directly with the business, influence technical decisions, and build solutions with real impact.
You'll join an international environment with a modern data stack—including SQL, dbt, Cloud, Python, and Snowflake—while gaining visibility, ownership, and opportunities for long-term career growth.
Seniority: Senior Level | 5+ years
Work Model: Hybrid | 2 days onsite
*Siemens is an Equal Opportunity and Affirmative Action Employer encouraging diversity in the workplace. All qualified applicants will receive consideration for employment without regard to their race, color, creed, religion, national origin, citizenship status, ancestry, sex, age, physical or mental disability, marital status, family responsibilities, pregnancy, genetic information, sexual orientation, gender expression, gender identity, transgender, sex stereotyping, protected veteran or military status, and other categories protected by federal, state or local law.
Siemens AG (Berlin and Munich) is a leading technology company focused on industry, infrastructure, mobility, and healthcare. The company’s purpose is to create technology to transform the everyday, for everyone. By combining the real and the digital worlds, Siemens empowers customers to accelerate their digital and sustainability transformations, making factories more efficient, cities more livable, and transportation more sustainable. A leader in industrial AI, Siemens leverages its deep domain know-how to apply AI – including generative AI – to real-world applications, making AI accessible and impactful for customers across diverse industries. Siemens also owns a majority stake in the publicly listed company Siemens Healthineers, a leading global medical technology provider pioneering breakthroughs in healthcare. For everyone. Everywhere. Sustainably. In fiscal 2025, which ended on September 30, 2025, the Siemens Group generated revenue of €78.9 billion and net income of €10.4 billion. As of September 30, 2025, the company employed around 318,000 people worldwide on the basis of continuing operations.
