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.
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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 & No SQL databases • Postgre SQL / My SQL • Dynamo DB / Mongo DB / Document DB • 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 xqbhyrx • 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 • Flexible working model with 70% remote

📌 Aws data engineer (Arenas de Iguña)
🏢 Lawrence Harvey
📍 Arenas de Iguña