Data Architect/Data Warehouse Developer

3 semanas atrás


Lisboa, Lisboa, Portugal Siemens Mobility Tempo inteiro

**Company Overview**: At Siemens Financial Services, we harness the power of technology to drive business success. With a global presence and over 300 thousand employees, we make a significant impact in various industries.

**Job Description**: As a key member of our Data Product Development Team, you will play a pivotal role in developing data products for our Siemens Financial Services Data Platform on Snowflake (Azure). Your primary focus will be on designing and implementing high-quality data products using cutting-edge data modeling approaches, balancing compute costs, performance, and long-term operability.

**Required Skills and Qualifications**: We are looking for an experienced data warehouse developer with a strong background in cloud-based data warehouse technologies, preferably Snowflake on Azure. Key skills include:

  • Multiple years of experience in a comparable role, ideally within a regulated industry such as finance, insurance, or healthcare
  • Proven expertise in end-to-end data warehouse implementation, including requirements recording, solution design, data modeling (e.g., DataVault 2.0), and SQL-driven development
  • In-depth knowledge of SQL and at least one other programming language (Python, JavaScript, Java, Scala, C++)
  • Hands-on experience with data modeling approaches, especially Data Vault 2.0, and data warehouse automation tools like dbt, DataVault Builder, WhereScape
  • Proficiency in deployment tools such as Azure DevOps, Visual Studio, Gitbash, Git/Github

**Benefits**: As part of our team, you can expect a competitive salary of $120,000 - $160,000 per year, depending on your experience and qualifications. Our comprehensive benefits package includes health insurance, retirement savings plan, paid time off, and opportunities for career growth and professional development.

**Others**: If you have experience with Azure Synapse, Real Time Streaming, or monitoring tools like Grafana, DataDog, that's a plus. A data product-driven mindset and familiarity with Data Mesh would also be advantageous.



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