Data Engineer - Analytics/ModellingLocation: Birmingham/London, UKMode: Hybrid ResponsibilitiesLead the design and implementation of AWS-based data products that leverage reusable datasets.Collaborate on creating scalable data solutions using a range of new and emerging technologies from the AWS platform.Demonstrate AWS data expertise when communicating with stakeholders and translating requirements into technical data solutions.Manage both real-time and batch data pipelines. Our technology stack includes a wide variety of technologies such as Kafka, AWS Kinesis, Redshift, and DBT.Design and model data workflows from ingestion to presentation, ensuring data security, privacy, and cost-effective solutions.Create a showcase environment to demonstrate data engineering best practices and cost-effective solutions on AWS.Build a framework suitable for stakeholders with low data fluency. This framework should enable easy access to data insights and facilitate informed decision-making.RequirementsExpertise in the full data lifecycle: project setup, data pipeline design, data modelling and serving, testing, deployment, monitoring, and maintenance.Strong data architecture background in cloud-based architectures (SaaS, PaaS, IaaS).Proven engineering skills with experience in Python, SQL, Spark, and DBT, or similar frameworks for large-scale data processing.Deep knowledge of AWS services relevant to data engineering, including AWS Glue, AWS EMR, Amazon S3, Redshift.Experience with ..... full job details .....