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