Power BI & Data Warehouse Developer

Keepmoat Limited

Doncaster

Hybrid

GBP 42,000 - 65,000

Full time

14 days+

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Benefits offered by this job

Competitive rates of pay

Smart Holidays

Company Pension Scheme

Cycle to Work Scheme

5% discount on a Keepmoat home

Exclusive offers and discounts

Life Assurance and Health Assessments

Employee Assistance Programme

Volunteering Day and Payroll Giving

Development opportunities to progress

Diversity and inclusion

Job summary

Keepmoat is seeking a Business Intelligence (BI) Developer to join our Head Office in Doncaster with agile/hybrid working on a 6-Month FTC. The successful candidate will deliver end-to-end BI solutions, including dashboards and data pipelines, working closely with the BI Manager.

The role requires strong Power BI expertise (semantic modelling, DAX, Power Query, SSRS), SQL and ETL/ELT experience, and familiarity with Azure DevOps. Experience with COINS ERP and Python is desirable.

Qualifications

Degree qualified or equivalent professional experience.
Proven BI/Analytics experience with Power BI and data modelling.
Strong SQL, ETL/ELT and data integration skills.
Experience in agile environments, preferably with Azure DevOps.

Responsibilities

Design, build and maintain Power BI reports and dashboards aligned to business needs and best-practice UX/data visualisation.
Develop and maintain data warehouse/lakehouse assets and ETL/ELT pipelines, ensuring robust, scalable and well-documented data ingestion.
Partner with stakeholders to shape requirements, define KPIs and acceptance criteria, and translate business needs into technical specifications and deliverable BI products.
Maintain and optimise BI solutions (model performance, refresh reliability, capacity, accessibility), monitoring usage and continuously improving user experience and adoption.
Present results to stakeholders using clear data storytelling, articulating trends, insights, assumptions and limitations to drive action.
Create and maintain technical documentation (data definitions, lineage, model design, refresh/runbooks) to support supportability and knowledge sharing.
Champion data quality, governance and security (including access controls and row-level security), promoting trusted data and consistent KPI definitions.
Recognise and adopt best practices in semantic modelling, testing and release management (e.g., Azure DevOps), and actively develop knowledge of responsible AI features (e.g., Copilot-assisted development, natural-language Q&A and AI-enabled insights) in line with organisational policies.