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Forsyth Barnes Consultancy

Senior AWS Dta Engineer (Ref: 197470)

Nottingham
Posted about 15 hours ago
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About the Role

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.

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I’m in my final year doing Economics and I don’t know whether to apply for grad schemes now or do a masters first. What do you think?

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Graduate Consultant — 2026 Scheme

PwC·London, UK
£35,000/yr

Why you're a good match

Strong

Your economics background and your summer at a regional bank line up with what PwC looks for on the consulting scheme. Applications close in four weeks.

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Why you're a good match

You’ve got the grades and the economics background, and your bank internship is exactly the experience this scheme looks for. Apply soon — deadlines close within the month.

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Experience fit

Your summer at the bank plus your econometrics coursework map directly to the day-one responsibilities on this scheme — client modelling, market briefings, and deal support.

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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.

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Other

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.


Callum Bell

Divisional Manager, Technology

ETail Specialist

callum.bell@forsythbarnes.com


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Skills

AWS Glue
AWS Lambda
AWS EMR
AWS Redshift
AWS S3
AWS Athena
SQL
Python
CloudFormation
Terraform
Kafka
Kinesis
Spark
ETL/ELT Pipelines
Data Modeling
Data Governance

Location

Nottingham, England, United Kingdom

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