Data Engineer

  

We are looking for a Data Engineer to be part of our Data Capabilities Team. At Nespresso, our Digital & Tech teams are at the heart of our innovation journey, a space where we continue to invest, evolve, and grow.   

 

 

Position Snapshot:

 

• Location: Nespresso Hub, Barcelona, Spain. 

• Type of Contract: Permanent. Full time.  

• Type of work: Hybrid. 

• Work Language: Fluent Business English. 

 

The role:  

 

As a Data Engineer, you will play a pivotal role within the Data Team, responsible for comprehensively understanding business needs and translating them into actionable deliverables. In this role, you will integrate diverse data sources and consolidate them into a unified platform. With a collaborative, team-first approach, you will assist and empower teams involved in processes and operations, with a strong emphasis on security and compliance. 

 

You will work with technologies such as Azure, Snowflake, DBT, Airflow, and Kafka, and possess extensive knowledge of SQL and Python for both operational and analytical purposes. You will collaborate closely with team members to ensure that data is accessible, reliable, and timely, thereby supporting the organization’s data-driven decision-making processes. 

 

 

In This Role, You Will: 

 

• Design, construct, install, test, and maintain highly scalable data management systems.  

• Collaborate with data architects, modelers, and IT team members on project goals.  

• Design, develop, and maintain data models, scalable pipelines using modern orchestration tools.  

• Manage batch and real-time streaming pipelines to transform raw data into a usable format by applying data cleansing, aggregation, filtering, and enrichment techniques.  

• Optimize data pipelines and data processing workflows for performance, scalability, and efficiency.  

• Translate complex functional and technical requirements into detailed design.  

• Ensure systems meet business requirements and industry practices. 

• Ensure that internal processes are secured, compliant, and meet organizational standards.  

• Integrate new data management technologies and software engineering tools into existing structures.  

• Create custom software components and analytics applications.  

• Research opportunities for data acquisition and new uses for existing data.  

• Recommend ways to improve data reliability, efficiency, and quality.  

 

 

What We’re Looking For: 

 

• A bachelor’s degree in computer science, data science, software engineering, information systems, or related quantitative field; master’s degree preferred. 

• At least five years of experience in data analytics, data engineering, software engineering, or a similar role. 

• Expertise in data modeling, ETL development, and data analysis. 

• Experience with DBT, Azure, Snowflake, Power BI, and Apache Airflow. 

• Ability to design, build, and deploy data solutions that capture, explore, transform, and utilize