
Prompt Engineer
at McGregor Boyall
Posted 13 days ago
No clicks
- Compensation
- £650 – £700 GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Prompt Engineer at a leading global professional services organisation, joining a high-performing Data & AI transformation team. The role sits at the intersection of data engineering and analytics, transforming raw data into analytics-ready data products powering BI, reporting and advanced analytics. You will build semantic layers, define KPIs, and ensure data quality and governance across a modern cloud data platform, collaborating with Data Engineers, Analysts and Data Scientists. You will also support CI/CD processes and version control.
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- Business Support & Secretarial
- Change & Transformation
- Compliance, Governance & Legal
- Cloud, DevOps & Infrastructure
- Data & Analytics
- Development & Testing
- Digital Marketing, Communications & Sales
- Finance, Audit & Accounting
- HR & Talent Management
- Information & Cyber Security
- Project & Programme Management
- Risk Management & Quantitative Analyitcs
- Procurement & Supply Chain
- Insights
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- About Us
- Job Search
- Services
- Sectors
- Specialisms
- Specialisms
- Specialisms
- Business Support & Secretarial
- Change & Transformation
- Compliance, Governance & Legal
- Cloud, DevOps & Infrastructure
- Data & Analytics
- Development & Testing
- Digital Marketing, Communications & Sales
- Finance, Audit & Accounting
- HR & Talent Management
- Information & Cyber Security
- Project & Programme Management
- Risk Management & Quantitative Analyitcs
- Procurement & Supply Chain
- Insights
- Work For Us
- Contact Us
Job Details
Prompt Engineer
- £650 - £700 per day
- London
- Contract
The Opportunity
A leading global professional services organisation is seeking an experienced Analytics/ Prompt Engineer to join a high-performing Data & AI transformation team.
This role sits at the intersection of data engineering and analytics - transforming raw, ingested data into trusted, structured, analytics-ready data products that power business intelligence, reporting, and advanced analytics initiatives across the enterprise.
You will play a key role in building semantic layers, defining KPIs, and ensuring data quality and governance across a modern cloud data platform.
Key Responsibilities
Design and implement scalable data models within Databricks.
Transform raw datasets into curated, analytics-ready data products using Delta Lake and Spark.
Build and maintain semantic layers for business reporting.
Translate stakeholder requirements into technical specifications.
Define KPIs and controlled vocabulary across data products.
Own reconciliation logic and ensure data consistency across teams.
Optimise SQL queries and workflows for performance.
Collaborate closely with Data Engineers, Analysts and Data Scientists.
Maintain documentation and governance standards.
Support CI/CD processes and version control workflows.
Required Experience
Strong SQL expertise (data modelling & optimisation).
Hands-on Databricks experience (Delta Lake + Spark).
Experience with dbt or similar transformation frameworks.
Python for data manipulation and automation.
Azure cloud experience.
Familiarity with BI tools (Power BI preferred).
Strong understanding of data warehousing concepts.
Exposure to Git-based version control & CI/CD pipelines.
Ability to engage confidently with business stakeholders.
Nice to Have
Exposure to ML/AI workflows within Databricks.
Experience building semantic layers from scratch.
Enterprise-scale governance experience.
Ideal Profile
This role suits someone who:
Thinks in terms of data products, not just pipelines.
Enjoys bridging technical delivery with business impact.
Can operate in a fast-paced, collaborative environment.
Takes ownership of data quality and KPI consistency.
Why Apply?
Modern cloud stack (Databricks + Azure).
Strategic transformation programme.
Enterprise-scale data challenges.
High stakeholder visibility.
Strong likelihood of contract extension.
If you would like to explore further, please apply or get in touch directly for a confidential discussion.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Apply for this role
Great! It looks like you have already applied for this role. View Status
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Prompt Engineer
at McGregor Boyall

Prompt Engineer
at McGregor Boyall
Posted 13 days ago
No clicks
- Compensation
- £650 – £700 GBP
- City
- London
- Country
- United Kingdom
Currency: £ (GBP)
Prompt Engineer at a leading global professional services organisation, joining a high-performing Data & AI transformation team. The role sits at the intersection of data engineering and analytics, transforming raw data into analytics-ready data products powering BI, reporting and advanced analytics. You will build semantic layers, define KPIs, and ensure data quality and governance across a modern cloud data platform, collaborating with Data Engineers, Analysts and Data Scientists. You will also support CI/CD processes and version control.
- About Us
- Job Search
- Services
- Sectors
- Specialisms
- Business Support & Secretarial
- Change & Transformation
- Compliance, Governance & Legal
- Cloud, DevOps & Infrastructure
- Data & Analytics
- Development & Testing
- Digital Marketing, Communications & Sales
- Finance, Audit & Accounting
- HR & Talent Management
- Information & Cyber Security
- Project & Programme Management
- Risk Management & Quantitative Analyitcs
- Procurement & Supply Chain
- Insights
- Work For Us
- Contact Us
Quick CV Dropoff
By submitting this form, you agree to our Modern Slavery, Cookies & Privacy Policy.
Upload a Vacancy Today
By submitting this form, you agree to our Modern Slavery, Cookies & Privacy Policy.
- About Us
- Job Search
- Services
- Sectors
- Specialisms
- Specialisms
- Specialisms
- Business Support & Secretarial
- Change & Transformation
- Compliance, Governance & Legal
- Cloud, DevOps & Infrastructure
- Data & Analytics
- Development & Testing
- Digital Marketing, Communications & Sales
- Finance, Audit & Accounting
- HR & Talent Management
- Information & Cyber Security
- Project & Programme Management
- Risk Management & Quantitative Analyitcs
- Procurement & Supply Chain
- Insights
- Work For Us
- Contact Us
Job Details
Prompt Engineer
- £650 - £700 per day
- London
- Contract
The Opportunity
A leading global professional services organisation is seeking an experienced Analytics/ Prompt Engineer to join a high-performing Data & AI transformation team.
This role sits at the intersection of data engineering and analytics - transforming raw, ingested data into trusted, structured, analytics-ready data products that power business intelligence, reporting, and advanced analytics initiatives across the enterprise.
You will play a key role in building semantic layers, defining KPIs, and ensuring data quality and governance across a modern cloud data platform.
Key Responsibilities
Design and implement scalable data models within Databricks.
Transform raw datasets into curated, analytics-ready data products using Delta Lake and Spark.
Build and maintain semantic layers for business reporting.
Translate stakeholder requirements into technical specifications.
Define KPIs and controlled vocabulary across data products.
Own reconciliation logic and ensure data consistency across teams.
Optimise SQL queries and workflows for performance.
Collaborate closely with Data Engineers, Analysts and Data Scientists.
Maintain documentation and governance standards.
Support CI/CD processes and version control workflows.
Required Experience
Strong SQL expertise (data modelling & optimisation).
Hands-on Databricks experience (Delta Lake + Spark).
Experience with dbt or similar transformation frameworks.
Python for data manipulation and automation.
Azure cloud experience.
Familiarity with BI tools (Power BI preferred).
Strong understanding of data warehousing concepts.
Exposure to Git-based version control & CI/CD pipelines.
Ability to engage confidently with business stakeholders.
Nice to Have
Exposure to ML/AI workflows within Databricks.
Experience building semantic layers from scratch.
Enterprise-scale governance experience.
Ideal Profile
This role suits someone who:
Thinks in terms of data products, not just pipelines.
Enjoys bridging technical delivery with business impact.
Can operate in a fast-paced, collaborative environment.
Takes ownership of data quality and KPI consistency.
Why Apply?
Modern cloud stack (Databricks + Azure).
Strategic transformation programme.
Enterprise-scale data challenges.
High stakeholder visibility.
Strong likelihood of contract extension.
If you would like to explore further, please apply or get in touch directly for a confidential discussion.
McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.
Apply for this role
Great! It looks like you have already applied for this role. View Status
Not yet registered? Create an account today
Already have an account? Sign in now
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