Senior AWS Dta Engineer (Ref: 197470)

Our client delivers cloud-native software that converts transport and logistics operational data into actionable intelligence for operators and planners. The platform ingests routing, scheduling and telemetry streams and exposes curated datasets and APIs that support planning, tracking and performance measurement across distributed fleets and supply chains.

This Senior AWS Data Engineer will own the design and delivery of scalable data products that power analytics, optimisation and operational decisioning during a 12-month fixed-term engagement. The role requires building robust ETL/ELT pipelines, defining data models and implementing automated quality and SLA controls to ensure timely, reliable datasets for cross-functional teams.

• Architect and implement end-to-end data pipelines on AWS to ingest, process and store operational datasets.
• Develop and maintain data models, schemas and documentation to support analytics and machine learning use cases.
• Implement data quality frameworks, validation checks and monitoring to meet SLAs.
• Design metadata, lineage and data contract solutions to support governance and discoverability.
• Collaborate with product owners, analysts and engineers to translate requirements into data products.
• Optimise pipeline performance and cost across AWS services.
• Review and mentor engineers on best practices for data engineering and cloud operations.
• Participate in on-call rotations to support production data workflows.

• Significant hands-on experience building data pipelines using AWS technologies (e.g., Glue, Lambda, EMR, Redshift, S3, Athena).
• Proven track record designing data models for analytics and ML applications.
• Strong knowledge of data quality, observability and governance patterns.
• Proficiency with SQL, Python and infrastructure-as-code tools (CloudFormation, Terraform or similar).
• Experience with streaming and batch processing frameworks (e.g., Kafka, Kinesis, Spark).
• Ability to operate in a fast-paced environment and influence stakeholders across functions.
• Excellent communication skills with a pragmatic, delivery-focused mindset.

• Competitive daily rate aligned to market and experience.
• Access to specialist tooling and cloud resources to deliver high-impact projects.
• Flexible hybrid working arrangement based in Nottingham with periodic on-site collaboration.
• Professional development budget and learning opportunities relevant to data engineering and cloud platforms.
• Structured onboarding and mentorship during the contract term.

Applicants with relevant experience in transport, logistics or complex operational domains are encouraged to apply. Transferable experience from other sectors such as telecommunications or software platforms will be considered. This role requires eligibility to work in the UK and the ability to attend the Nottingham office as required.