Ingeniero/a de Datos (inclusión discapacidad)

Youll thrive in this role if youre comfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment.

Work location: Madrid

Hybrid working model (on-site/remote) after onboarding

Salary according to experience

Comprehensive benefits package

Personas con discapacidad: Será necesario disponer de un Certificado de Discapacidad oficial igual o superior al 33% emitido por el organismo público competente.

Fundación Adecco collaborates with a major multinational company in the services sector on its plan to promote the inclusion of people with disabilities

As part of our global digital transformation journey, you will play a key role in designing, scaling, and maintaining the data infrastructure that powers the platform.

Youll ensure that data is collected, processed, and made accessible in a reliable and secure way enabling teams to make informed decisions and deliver value quickly and safely to millions of users worldwide.

As a Senior Data Engineer, youll champion data quality, automation, and performance, while fostering a culture of collaboration, observability, and continuous improvement within our Data Product team.

As a Data Engineer, you will:

• Participate in the development and administration of the Data Platform as a product.
• Support Product and Engineering teams in leveraging the Data Platform.
• Manage and monitor/a all Data Platform components running on Kubernetes, ensuring high availability and scalability.
• Apply best practices in Continuous Integration and Delivery (CI/CD).
• Contribute to the overall data quality strategy within Cobee by Pluxee.
• Develop tools and best practices to enable other teams to easily ingest new data tables, apply quality checks, and self-serve.
• Be part of the Data Product Team, empowering engineers and data analysts to work autonomously with data and extract valuable insights.
• Design and maintain batch and real-time data pipelines to support product and engineering teams.
• Collect, process, and clean data from multiple sources using SQL, Python, or any fit-for-purpose language

Tiempo completo

permanent

on-site

Youre the right fit if you bring:

Proven experience working with Kubernetes and Helm charts for deploying data workloads.

Basic knowledge of AWS services.

Strong understanding of monitoring, data observability, and quality metrics.

Familiarity with data orchestration frameworks (Dagster, Airflow, etc.).

Hands-on experience with Kafka (Kafka Connect, Schema Registry, etc.) for streaming data ingestion.

Experience building data tools to democratize data access across teams.

Experience in building and maintaining analytical databases, and in designing high-performance data models. Experience with ClickHouse is a plus.

Experience integrating diverse data sources (APIs, databases, files) using tools such as Airbyte or custom-built pipelines.

Programming proficiency in Python, Go, or another relevant language.

Understanding of DBT or similar transformation frameworks used by analysts to build and maintain models.