Senior AWS Data Engineer (Ref: 197470)

Forsyth Barnes Consultancy; Nottingham; Hybrid; GBP 60,000 - 90,000; Full time

Benefits offered by this job

Competitive daily rate

Hybrid work in Nottingham

Professional development budget

Job summary

Forsyth Barnes Consultancy is seeking a Senior AWS Data Engineer to own the design and delivery of scalable data products for analytics and operations in a 12-month fixed-term engagement in Nottingham. You will build robust ETL/ELT pipelines, define data models, and implement automated quality controls to ensure timely, reliable datasets for cross-functional teams.

The role requires strong AWS data engineering experience, data modeling, and governance knowledge, with a pragmatic,

Qualifications

• Extensive hands-on experience building data pipelines on AWS.
• Proven ability to model data for analytics and ML use cases.
• Strong knowledge of data quality, observability and governance.
• Proficiency in SQL and Python; IaC tooling experience required.
• Experience with streaming/batch frameworks (Kafka, Kinesis, Spark).
• Able to influence stakeholders and operate in a fast-paced environment.
• Excellent communication and delivery-focused mindset.

Responsibilities

• Architect end-to-end data pipelines on AWS to ingest and store datasets.
• Develop data models, schemas and documentation for analytics/ML.
• Implement data quality frameworks and SLA monitoring.
• Design data contracts, lineage and governance solutions.
• Collaborate with product owners, analysts and engineers to translate requirements.
• Optimize pipeline performance and cost across AWS services.
• Mentor engineers on best practices and participate in on-call rotations.

Skills

AWS data pipelines

SQL

Python

IaC (CloudFormation/Terraform)

ETL/ELT design

Data governance

Spark/Kinesis/Kafka

On-call support

Tools

AWS services

Terraform/CloudFormation

S3/Redshift/Athena/Glue

Job description

About Us

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.

Job Description

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.

Key Responsibilities

• 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.

Requirements

• 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.

Benefits

• 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.

Other

This role requires eligibility to work in the UK and the ability to attend the Nottingham office as required.

Callum Bell
Divisional Manager, Technology
ETail Specialist

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