5 of 5 Permanent AWS Step Functions Jobs in Scotland

engineering excellence with strong leadership and stakeholder management. You will own the end-to-end technical delivery of data platforms and pipelines built in AWS-with a focus on AWS Glue, Managed Workflows for Apache Airflow (MWAA), and Python-and collaborate closely with Directors, Senior Architects, and Program … optimize complex data workflows while mentoring engineers and driving engineering best practices. Ideal for: Someone who has delivered multiple production programs in a modern AWS data engineering landscape, can communicate trade-offs clearly to senior stakeholders, and can lead teams through ambiguity to predictable, high-quality outcomes. Your Responsibilities ...

streaming technologies to ingest, process, and serve high‐volume market and trading data at scale. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Contribute to best practices for agent‐based system infrastructure and mentor junior engineers when needed. Work across organisational boundaries and champion … agent‐based systems, AI infrastructure, and cloud-native tooling. Architect and develop cutting-edge platform services for AI-driven trading. Tech Stack Programming: Python AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and Databricks On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. What we are looking ...

hands-on. • Collaborate with internal infra/platform teams to align capabilities and avoid duplication. • Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. • Mentor junior engineers and set best practices for AI/ML infrastructure. • Influence across organisational boundaries and champion modern engineering trends. … Stay ahead of the curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack • Programming: Python (Java familiarity is a plus). • AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. • On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different ...

hands-on. Collaborate with internal infra/platform teams to align capabilities and avoid duplication. Design and implement secure, cost-aware, scalable systems using AWS services and Kubernetes. Mentor junior engineers and set best practices for AI/ML infrastructure. Influence across organisational boundaries and champion modern engineering trends. … curve in Generative AI, ML infrastructure, and cloud-native tooling. Tech Stack Programming: Expert level Python (Java familiarity is a plus). AWS: S3, Kinesis, Glue, Lambda, Step Functions, SageMaker, and more. On-Prem: Managed Kubernetes Platform and Hadoop ecosystem. Why This Role is Different Direct Impact ...

systems, and developing business intelligence solutions for reliable, seamless reporting to serve multiple stakeholders. The technology stack consists of: Oracle tools, Snowflake, Postgres, various AWS Services (SageMaker, Lambda, Step Functions, DMS, S3 etc.) in the AWS Cloud. Responsibilities Designing, building, and maintaining a Data Warehouse … Experience in Oracle Familiarity with Snowflake Experience of building Oracle OBIEE/OAS reports & dashboards Experience with working on the cloud, preferably with AWS, including certifications Familiarity with Apex Data migration Understanding of machine learning or data science, including Python. Candidates must be based in the UK and hold ...