Senior Data Engineer - Up to £85k

Cloud Bridge

Newcastle upon Tyne

Hybrid

GBP 70,000 - 110,000

Full time

4 days ago

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Benefits offered by this job

Enhanced annual leave

Birthday leave

Enhanced sick pay

Maternity benefits

Development plans

Training programmes

Paid social events

Cycle to Work

Job summary

Cloud Bridge is seeking an experienced Senior Data Engineer in Newcastle upon Tyne to design and build a scalable, cloud-based data platform powering analytics and AI capabilities. You will own data structuring, governance, and platform strategy while contributing to design, development, and implementation.

You will work with the CTO and senior stakeholders to shape data and AI strategy, delivering enterprise reporting, advanced analytics, and AI/ML solutions.

Qualifications

Senior data engineering or data architecture leadership experience.
Hands-on design of cloud data platforms.
Experience with AWS, Azure, Databricks or Snowflake.
Strong enterprise-scale data modelling experience.
Experience building AI-enabled data architectures.
Knowledge of RAG, vector databases, embeddings and LLMs.
Experience with batch and real-time data processing.
Good data governance, quality and metadata practices.
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 AI-ready architectures including RAG and LLMs.
Build and optimise data pipelines for batch and real-time processing.
Lead data integration, transformation and migration initiatives.
Establish data governance, quality, metadata and security frameworks.
Collaborate with engineering and business stakeholders to deliver solutions.
Evaluate emerging technologies and recommend innovative approaches.
Provide technical leadership and mentoring across data initiatives.
Ensure data platforms are scalable, secure, and cost-effective.

Skills

Senior data engineer

Cloud data platforms

AWS Redshift/Glue/S3

Azure Synapse

Databricks Delta Lake

Snowflake

Data modelling

AI-enabled architectures

RAG/LLM

Batch & streaming

Data governance

Stakeholder engagement

Job description

Skills & Experience

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.

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