Software Engineer – Cloud Data Warehouse- Barcelona (Spain)

Every year, we welcome thousands of university graduates from every corner of the world to join Microsoft. You bring your aspirations, talent, potential—and excitement for the journey ahead.   

At Microsoft, our mission is to empower every person and every organization on the planet to achieve more and when you begin your career with us.  Those hired into this role are invited to participate in Microsoft Aspire Experience, a two-year learning and development experience where you'll build your network, cultivate intentional capabilities and gain perspective into the career opportunities across Microsoft’s many exciting businesses. 

We’re a company of learn-it-all’s rather than know-it-alls and our culture is centered around embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. Does this sound like you? Learn more about our cultural attributes.   

Microsoft’s Azure Data engineering team is leading the transformation of analytics in the world of data with products like databases, data integration, big data analytics, messaging & real-time analytics, and business intelligence. The products in our portfolio include Microsoft Fabric, Azure SQL DB, Azure Cosmos DB, Azure PostgreSQL, Azure Data Factory, Azure Synapse Analytics, Azure Service Bus, Azure Event Grid, and Power BI. Our mission is to build the data platform for the age of AI, powering a new class of data-first applications and driving a data culture. 

We do not just value differences or different perspectives. We seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our ideas are better, our products are better, and our customers are better served. 

​​Within Azure Data, the big data analytics team provides a range of products that enable data engineers and data scientists to extract intelligence from all data – structured, semi-structured, and unstructured. We are in the process of integrating our disparate products into Azure Synapse Analytics with a set of experiences that are meant to simplify and accelerate time to value.   ​ 

​​We are looking for engineers to lead the development of the core components of the Cloud Data Warehouse that powers SQL analytics in Azure compute. You will work in areas related to query optimization, transactional storage and distributed query processing to build an elastic and scalable cloud DW to enable Tier1 enterprise workloads in Azure Data Lake.  We are looking for passionate people with experiences working with all service aspects of high throughput and multi-tenant services, ability to design components carefully, properly handle errors, write clean and well-factored code with good tests and good maintainability.   

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We do not just value differences or different perspectives, we seek them out and invite them in so we can tap into the collective power of everyone in the company. As a result, our customers are better served. 

Are you ready to join us and create the future? Come as you are, do what you love—start your journey with us today!  

Responsibilities

Core responsibilities:

Understand Requirements - Contributes in partnership with stakeholders (e.g., project manager, technical lead) to determine user requirements for a feature. Begins to incorporate appropriate continuous feedback loops measuring customer value.

Design - Learns and contributes to processes for the architecture of a product/solution feature and learns to create proposals by testing design hypotheses and helping to refine code plans under the technical leadership of others. Produces code to test hypotheses for technical solutions and assists with technical validation efforts. Helps with and participates in the development of design documents for simple designs or user stories with oversight, helps to determine the technology that will be leveraged, and how they will interact.

Coding - With guidance, learns to create and implement code for a product, service, or feature reusing code as applicable. Writes and learns to create code that is extensible and maintainable. Learns about and applies diagnosability, reliability, and maintainability, and understands when the code is ready to be shared and delivered. Apply coding patterns and best practices to write code.

Implement - Learns to review work items to gain knowledge of product features in partnership with appropriate stakeholders (e.g., project managers). Assists and learns about breaking down work items into