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

- Versátil working model with 70% remote

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