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

📌 Data Engineer Senior AWS y Airflow (Madrid)
🏢 Lawrence Harvey
📍 Madrid