Senior Data Platform Engineer for AI & Analytics

Cloud Bridge; Newcastle upon Tyne; On-site; GBP 120,000 - 150,000; Full time

Benefits offered by this job

Enhanced annual leave

Enhanced sick pay

Enhanced maternity benefits

Personalised development plans

Structured training and development

Paid social events

Cycle to Work scheme

Job summary

Cloud Bridge is seeking a Senior Data Engineer to lead the design and construction of a cloud-based data platform that powers analytics and AI capabilities across the organization.

You will own data structuring, governance, and strategy, collaborating with the CTO to shape data and AI initiatives, from enterprise reporting to cutting-edge AI solutions. This is a hands-on leadership role with a focus on scalable, secure, and cost-efficient data architectures.

Qualifications

• Proven experience in a senior Data Engineering, Data Architecture, or Lead Data role.
• Hands-on design and delivery of cloud-based data platforms.
• Expertise with AWS Redshift, Glue, S3; Azure Synapse, Data Factory, Azure SQL; Databricks; Snowflake.
• Strong data modelling experience across enterprise-scale environments.
• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and LLM integrations.
• Experience with batch and streaming/real-time data processing.
• Strong governance, quality management, lineage, and metadata frameworks.
• Excellent stakeholder engagement and communication skills.

Responsibilities

• Design and build scalable, cloud-based data platforms and architectures.
• Translate business requirements into robust, scalable data solutions.
• Develop conceptual, logical, and physical data models.
• Design and implement modern AI-ready architectures, including RAG, vector databases, semantic search, and LLM integrations.
• Build and optimise data pipelines supporting both batch and real-time processing.
• Lead data integration, transformation, and migration initiatives.
• Establish and maintain data governance, data quality, metadata management, and security frameworks.
• Collaborate with engineering, architecture, and business stakeholders to deliver impactful solutions.
• Evaluate emerging technologies and recommend innovative approaches to enhance data and AI capabilities.
• Provide technical leadership, best practice guidance, and mentoring across data initiatives.
• Ensure data platforms are scalable, secure, cost-effective, and aligned to business objectives.
• Define the organisation's data and AI strategy from the ground up.
• Work directly with senior leadership and influence business-critical decisions.
• Build solutions using the latest cloud, data, and AI technologies.
• Drive architectural decisions and implement best practices.
• Access tailored development plans, training, and certification support.
• Join a business actively investing in transformation and AI adoption.

Skills

AWS Redshift

AWS Glue

AWS S3

Azure Synapse

Azure Data Factory

Azure SQL

Databricks

Snowflake

Data modelling

LLM integrations

RAG

Job description

Cloud Bridge is seeking a Senior Data Engineer to lead the design and construction of a cloud-based data platform that powers analytics and AI capabilities across the organization.

You will own data structuring, governance, and strategy, collaborating with the CTO to shape data and AI initiatives, from enterprise reporting to cutting-edge AI solutions. This is a hands-on leadership role with a focus on scalable, secure, and cost-efficient data architectures.