Senior Data Engineer

Senior Data Engineer
Location: Gloucester - 2 days / 3 days WFH per week
Salary: Up to £85,000
Benefits: Excellent benefits package, career development and the opportunity to shape a growing data platform.
  
Our client, a leading engineering and manufacturing organisation, is looking to appoint a Senior Data Engineer to play a key role in the evolution of its enterprise data platform.
  
This is an opportunity to influence data strategy, own critical data engineering initiatives, and work with modern cloud technologies to deliver trusted, high-quality data that supports business decision-making across a global organisation.
  
Working within a collaborative data team, you'll combine technical expertise with strong stakeholder engagement to design scalable data solutions, improve governance, and enable data-driven decisions throughout the business.
  
What you'll do 

Design, build and maintain enterprise data architecture and scalable data pipelines.
Administer and optimise a Snowflake data warehouse environment.
Develop robust ELT pipelines using modern data engineering best practices.
Build dimensional data models and reporting datasets to support business intelligence.
Create insightful dashboards and reports using Power BI.
Define and promote data governance standards and data quality initiatives.
Analyse complex datasets and translate business requirements into technical solutions.
Contribute to the organisation's data strategy by evaluating emerging technologies and AI capabilities.
Support and educate business users on data best practice.
Collaborate with technical and business stakeholders across multiple locations to deliver strategic data initiatives. You'll work closely with business leaders, technology teams and global stakeholders to ensure data is accessible, reliable and delivers measurable business value.
  
What we're looking for
  
We're looking for an experienced Senior Data Engineer with a passion for building modern cloud-based data platforms.
  
Essential experience includes:

Strong commercial SQL development experience.
Proven experience administering enterprise data warehouses.
Experience with Snowflake.
Experience developing data pipelines and ELT processes.
Strong knowledge of data warehousing principles and dimensional modelling (Kimball).
Experience using dbt.
Power BI report and dashboard development.
Strong stakeholder management and communication skills.
Excellent analytical and problem-solving ability.
Experience documenting data solutions and technical specifications.
Understanding of data governance, GDPR and data security principles.  Desirable experience: 

Fivetran or similar integration tools.
Microsoft Fabric.
GitHub and modern SDLC practices.
ERP integrations such as Dynamics 365 or Infor.
Exposure to AI technologies including Snowflake Cortex or OpenAI tooling.
Experience within engineering, manufacturing or aerospace environments. The ideal candidate will be a proactive self-starter who enjoys solving complex problems, influencing stakeholders and driving continuous improvement in a collaborative environment.
  
Why join?

Play a key role in shaping a growing enterprise data platform.
Work with modern cloud technologies including Snowflake, dbt and Power BI.
Influence data strategy and architecture across a global business.
Join a collaborative team focused on innovation, data quality and continuous improvement.
Opportunity to work on high-impact projects with genuine business visibility