Senior Data Engineer - Up to £85k

Cloud Bridge; Newcastle upon Tyne; Hybrid; GBP 51,000 - 85,000; Full time

Benefits offered by this job

Enhanced annual leave & birthday leave

Enhanced sick pay

Enhanced maternity benefits

Personalised development plans

Structured training and certification

Cycle to Work scheme

Job summary

Cloud Bridge is seeking a Senior Data Engineer in Newcastle Upon Tyne, with leadership responsibility for the data platform strategy and implementation. You will shape how data is structured, governed, and leveraged across the business, partnering with the CTO to drive analytics and AI initiatives.

You will design scalable cloud-based data architectures, oversee data governance and security, and mentor teams while delivering end-to-end data solutions for enterprise reporting and advanced

Qualifications

• Proven experience in a senior Data Engineering, Data Architecture, or Lead Data role.
• Strong hands-on experience designing and delivering cloud-based data platforms.
• Experience building modern AI-enabled data architectures and knowledge of RAG, vector databases, embeddings.

Responsibilities

• Design and build scalable, cloud-based data platforms and architectures.
• Translate business requirements into robust, scalable data solutions.
• Develop data models: conceptual, logical, physical.
• Design AI-ready architectures, including RAG, vector DBs, LLMs integrations.
• Build and optimise data pipelines for batch and real-time processing.
• Lead data integration, transformation, and migration initiatives.
• Establish data governance, quality, metadata management, and security frameworks.
• Collaborate with engineering, architecture, and business stakeholders to deliver solutions.
• Evaluate emerging technologies and recommend innovative approaches.

Skills

Senior leadership

Cloud data platform design

Data governance & quality

Stakeholder engagement

Tools

AWS (Redshift, Glue, S3, Bedrock)

Azure (Synapse, Data Factory, Azure SQL)

Databricks (Delta Lake, ETL, ML workloads)

Snowflake

Job description

Senior Data Engineer - Up to £85k

Newcastle Upon Tyne - 3 days per week in office

Our client are seeking an experienced Senior Data Engineer to play a pivotal role in designing and building the data platform that will power the organisation's next generation of analytics and AI capabilities.

This is a hands-on leadership role where you will take ownership of how data is structured, governed, and leveraged across the business. You will be responsible for defining the strategic direction of the data platform while actively contributing to its design, development, and implementation.

Working closely with senior stakeholders, including the CTO, you will help shape the organisation's data and AI strategy, enabling everything from enterprise reporting and advanced analytics to cutting-edge AI and machine learning solutions.

Key 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.

Skills & Experience

Essential

• Proven experience in a senior Data Engineering, Data Architecture, or Lead Data role.

• Strong hands-on experience designing and delivering cloud-based data platforms.

• Expertise with one or more of the following technologies:

  • AWS (Redshift, Glue, S3, Bedrock)

  • Microsoft Azure (Synapse, Data Factory, Azure SQL)

  • Databricks (Delta Lake, ETL pipelines, ML workloads)

  • Snowflake

• Strong data modelling experience across enterprise-scale environments.

• Experience building modern AI-enabled data architectures.

• Knowledge of Retrieval-Augmented Generation (RAG), vector databases, embeddings, and LLM integrations.

• Experience with both batch and streaming/real-time data processing.

• Strong understanding of data governance, quality management, lineage, and metadata frameworks.

• Excellent stakeholder engagement and communication skills with the ability to translate complex technical concepts into business outcomes.

Desirable

• Experience within Financial Services, Professional Services, or Advisory environments.

• Knowledge of FinOps, cloud cost optimisation, and total cost of ownership considerations.

• Relevant cloud and data certifications.

• Exposure to MLOps and AI platform engineering.

Why Join?

• 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.

Benefits

• Enhanced annual leave plus birthday leave

• Enhanced sick pay

• Enhanced maternity benefits

• Personalised development plans

• Structured training and development programmes

• Paid social events

• Cycle to Work scheme