We are looking for a Senior Data Engineer to join a highly collaborative data team working on modern cloud-native projects with real business impact. Si le interesa solicitar este empleo, por favor, asegúrese de cumplir los siguientes requisitos que se enumeran a continuación. You would be involved in designing and building scalable AWS-based data platforms, working closely with multidisciplinary teams across Data, Product and Business while leveraging modern technologies within the data ecosystem.

What you would be working on: Designing and maintaining scalable data pipelines across batch and streaming environments Building advanced cloud-native data processing solutions within AWS Translating complex business requirements into robust and scalable technical architectures Driving Data Quality, observability and reliability initiatives across the platform Optimising existing processes to improve performance and reduce operational costs Collaborating closely with different teams to maximise the value and exploitation of data.

Main tech environment:



Python Spark AWS (S3, Lambda, API Gateway, EMR, Glue, Athena) SQL & NoSQL databases PostgreSQL / MySQL DynamoDB / MongoDB / DocumentDB Airflow or AWS Step Functions Docker & Kubernetes/EKS Terraform CI/CD for data platforms Generative AI applied to development What they are looking for: Strong experience building scalable data solutions in AWS Background working with distributed data processing environments Someone xiphteb proactive with strong analytical thinking and technical ownership Comfortable collaborating with both technical and business stakeholders Interest in modern cloud and data architectures such as Lakehouse or Data Mesh Why this opportunity stands out: Real business-impact projects Modern cloud ecosystem across AWS & GCP Collaborative and dynamic environment Strong learning and growth opportunities Versátil working model with 70% remote

📌 Data Engineer con AWS - REMOTO (Coslada)
🏢 Lawrence Harvey
📍 Coslada