Data Engineer Con Discapacidad

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.Responsibilities- 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 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.Qualifications- 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.- Comfortable communicating in English and Spanish, enjoying collaborating with multicultural teams, and motivated by solving complex data challenges in a global environment.EEO StatementPersonas con discapacidad: será necesario disponer de un certificado de discapacidad oficial igual o superior al 33 % emitido por el organismo público competente.Benefits- Work location: Madrid.- Hybrid working model (on?site/remote) after onboarding.- Salary according to experience.- Comprehensive benefits package.Required ExperienceAl menos 1 año.Required EducationDiplomatura / Ingeniería Técnica.#J-*****-Ljbffr

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.
• Comfortable communicating in English and Spanish, enjoying collaborating with multicultural teams, and 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. Required Experience Al menos 1 año. Required Education Diplomatura / Ingeniería Técnica. #J-*****-Ljbffr