Aws Data Engineer

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.

Por favor, asegúrese de leer atentamente los siguientes detalles antes de enviar cualquier solicitud.

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 xqbhyrx 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

- Flexible working model with 70% remote