Proven experience as a Data Architect or Lead Data Engineer in AWS environments * Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda * Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions) * Background in energy, trading, or financial markets is a strong plus * Excellent knowledge of Python, SQL, and More ❯
Proven experience as a Data Architect or Lead Data Engineer in AWS environments* Deep understanding of cloud-native data services: S3, Redshift, Glue, Athena, EMR, Kinesis, Lambda* Strong hands-on expertise in data modelling, distributed systems, and pipeline orchestration (Airflow, Step Functions)* Background in energy, trading, or financial markets is a strong plus* Excellent knowledge of Python, SQL, and More ❯
delivery lifecycle. You’ll also play a key role in the migration from Kubernetes to serverless architectures. Essential Skills: Active SC Clearance Strong AWS DevSecOps experience (Lambda, S3, CloudWatch, Athena, IAM, RDS) CI/CD: GitLab, GitHub Actions/Enterprise IaC: Terraform Scripting: Python Event-driven architecture: Kafka AWS networking (VPC, subnets, routing) WAF configuration/security assessment for More ❯
engage with clients, learn domain knowledge, be proactive and curious in addition to standard tech would be ideal for the role. Tech Stack: AWS - S3 for storage, Lambda functions, Athena (thus strong SQL), Glue, Glue Data Catalog Python Current frontend is Tableau but experience with any of them will be interchangeable DevOps experience a bonus e.g. Terraform, Drone, Kubernetes More ❯
