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 (Coslada)
🏢 Lawrence Harvey
📍 Coslada