Data Engineer con discapacidad

This position is at Adecco Spain

The selection process will be fully managed by Adecco Spain.

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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. You'll 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, you'll 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 #TCD **¿Qué estamos buscando?** You're 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. - You'll thrive in this role if you're comfortable communicating in English and Spanish, enjoy collaborating with multicultural teams, and are motivated by solving complex data challenges in a global environment. Personas con discapacidad: Será necesario disponer de un Certificado de Discapacidad oficial igual o superior al 33% emitido por el organismo público competente. **¿Qué ofrecemos?** - Work location: Madrid - Hybrid working model (on-site/remote) after onboarding - Salary according to experience - Comprehensive benefits package

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