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.
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 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
- Adaptable working model with 70% remote

📌 AWs Data Engineer (Madrid)
🏢 Lawrence Harvey
📍 Madrid