AWS Data Engineer (Must hold current SC clearance) Overview: We are seeking a highly skilled AWS Data Engineer to join a cutting-edge technology consultancy delivering solutions across the UK and Europe. This role is ideal for someone with strong experience in building scalable data pipelines and working within secure, cloud-based environments. You will collaborate with data scientists, analysts, and software engineers to deliver efficient and reliable data solutions that support analytics, reporting, and AI/ML initiatives. Responsibilities: p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Design, develop, and maintain scalable ETL/ELT pipelines using AWS services such as Glue, Lambda, Step Functions, and Kinesis. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Work with structured and unstructured data from multiple sources, ensuring efficient ingestion, transformation, and storage. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Build and optimise data lake and warehouse solutions using S3, Redshift, Athena, and Lake Formation. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Implement data governance, security, and compliance best practices, including IAM, encryption, and access controls. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Monitor and optimise performance of data workflows using CloudWatch and other AWS-native tools. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Automate data processes using Python, PySpark, SQL, and AWS SDKs. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Collaborate with cross-functional teams to support analytics, BI, and AI/ML use cases. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Maintain and enhance CI/CD pipelines for data infrastructure using Terraform, CloudFormation, or CDK. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Troubleshoot and resolve data integration, performance, and reliability issues. Required Skills & Experience: p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> 5 years of experience in data engineering, with a strong focus on AWS. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Strong proficiency in Python, PySpark, SQL, and AWS Glue. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Hands-on experience with AWS data services including Redshift, Athena, Glue, EMR, and Kinesis. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Solid understanding of data modelling, warehousing, and schema design. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Experience with streaming and event-driven architectures (e.g. Kafka or Kinesis). p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Expertise in Infrastructure as Code (Terraform, CloudFormation, or CDK). p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Familiarity with DevOps practices and CI/CD pipelines. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Strong problem-solving skills and experience working in Agile environments. Desirable: p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> AWS certifications (Data Analytics Specialty or Solutions Architect Associate). p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Experience with Airflow for orchestration. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Exposure to big data frameworks such as Spark, Hadoop, or Presto. p]:pt-0 [&>p]:mb-2 [&>p]:my-0'> Experience supporting AI/ML data pipelines.