Data Consultant, AWS Professional Services

Data Consultant, AWS Professional Services

Job ID: AWS EMEA SARL (UK Branch)

We're seeking an experienced Data Engineering Consultant to join our AWS Professional Services Data & Analytics practice. In this role, you'll help customers design, implement, and optimise modern data platforms on AWS, focusing on scalable, secure, and cost-effective solutions that drive business value.

As a Data Engineering Consultant, you'll work directly with customers to modernize their data architectures, implement robust data pipelines, and establish DataOps practices that enable analytics at scale. You'll serve as a technical advisor throughout the customer's data modernisation journey, from initial architecture design through to implementation and optimisation.

Key job responsibilities

• Design and implement modern data architectures on AWS, focusing on lakehouse patterns, data mesh principles, and serverless analytics solutions
• Lead technical discovery workshops and architecture design sessions with customers to understand requirements and propose scalable solutions
• Develop and implement batch and streaming data pipelines using AWS services (e.g., Glue, MWAA, Step Functions, Kinesis, and Managed Streaming for Kafka (MSK
• Optimise data storage and retrieval through effective data modeling, partitioning, and indexing strategies across relational, NoSQL, and analytical databases
• Establish DataOps practices including CI/CD pipelines, data quality frameworks, and operational monitoring for data platforms
• Implement data governance, security, and cataloging frameworks to ensure compliance, lineage tracking, and controlled access to data assets (e.g., DataZone, SageMaker Studio)
• Design and optimise both batch and real-time data processing solutions, incorporating streaming architectures where needed
• Provide technical leadership and best-practice guidance to customer teams throughout the implementation lifecycle
• Create reusable assets, architectural patterns, and documentation to accelerate future customer engagements
• Able to work from AWS offices in London, Manchester, Bristol, or Cambridge, when not at the Customer site

NB: You will need to be a UK national and able to obtain and maintain a UK Government Security Clearance. Further details found here:

About the team

Diverse Experiences

AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying.

Why AWS?

Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses.

Inclusive Team Culture

Here at AWS, it's in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness.

Mentorship & Career Growth

We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional.

Work/Life Balance

We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud.

Basic Qualifications

• Experience facilitating discussions with senior leadership regarding technical / architectural trade-offs, best practices, and risk mitigation
• Experience with integration of cloud services with on-premise technologies from Microsoft, IBM, Oracle, HP, SAP
• Experience developing software code in one or more programming languages (Java, Python, etc.)
• Relevant experience in building large scale machine learning or deep learning models and Generative AI model development
• Eligibility for the UK Security Clearance

Preferred Qualifications

• Knowledge of the primary AWS services (EC2, ELB, RDS, Route53 & S3)
• Experience with software development life cycle (SDLC) and agile/iterative methodologies
• Master's degree in a quantitative field such as statistics, mathematics, data science, engineering, or computer science
• Experience communicating across technical and non-technical audiences
• Experience in using Python and hands on experience building models with deep learning frameworks like TensorFlow, Keras, PyTorch, MXNet
• Fluency in written and spoken English

Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.

Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner.

Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.