BI Developer

Armstrong Talent Partners; Glasgow; On-site; GBP 42,000 - 64,000; Full time

Job summary

Armstrong Talent Partners in Glasgow is seeking a hands-on BI professional to design, build and maintain Power BI reports, data models, and dashboards. You will write efficient SQL, apply data engineering techniques to automate reporting, and interrogate data sources independently to spot gaps before they become issues.

You will work with Business Systems and internal stakeholders across the Group to understand reporting needs and deliver BI solutions that genuinely support decision making.

Qualifications

• Strong experience in designing Power BI reports and data models.
• Proficient SQL writing and data transformation.
• Experience with Python for automation.
• Knowledge of Azure data services and ETL/ELT.

Responsibilities

• Design, build, and maintain Power BI reports and dashboards.
• Develop robust data models and DAX measures.
• Write and optimise SQL queries across sources.
• Automate data preparation and reporting workflows with Python.
• Collaborate with stakeholders across the Group to deliver insights.

Skills

Power BI

SQL

Python

Data modeling

DAX

Data visualization

Communication

UX/UI design

Tools

Azure SQL Database

Data Factory

Databricks

Git

ETL tools

Job description

This is a hands-on technical role for someone who enjoys getting into the detail of data: writing efficient SQL, building well-structured Power BI models and dashboards, and using advanced data engineering techniques to automate and extend (where possible). You will be expected to interrogate data sources independently, spot gaps or inconsistencies before they become a problem, and proactively propose solutions rather than waiting to be asked.

You will work closely with the the Business Systems team and internal operational stakeholders across the Group to understand reporting needs and deliver BI solutions that genuinely support decision making.

Power BI Development

• Design, build, and maintain Power BI reports and dashboards that are accurate, performant, and easy for end users to navigate.
• Develop robust data models within Power BI, applying good practice around relationships, DAX measures, and data refresh schedules.
• Apply strong visual design principles and consistent UI standards when building dashboards, thinking carefully about layout, hierarchy, colour, and flow so that users can find and understand insights quickly.
• Design report navigation and user interface flows that guide users naturally from a high level overview through to the detail they need, rather than presenting data for its own sake.
• Own the end to end delivery of BI reporting requests, from initial requirement through to a published, tested solution.
• Continually review and refine existing reports and dashboards to improve performance, usability, and visual clarity.

SQL & Data Interrogation

• Write and optimise SQL queries to extract, join, and transform data from multiple source systems.
• Interrogate operational and business systems directly to validate data quality, trace discrepancies, and understand how data is generated at source.
• Build and maintain views, stored procedures, and staging queries that support reliable and repeatable reporting.
• Document data lineage and logic clearly so that reports remain maintainable as systems and requirements change.

Automation & Python (or equivalent) technologies

• Use Python to automate repetitive data preparation, extraction, and quality checking tasks where this adds clear value.
• Support the development of scripts and small tools that streamline data workflows ahead of, or alongside, Power BI.
• Explore opportunities to apply Python for tasks such as data cleansing, scheduled reporting, or API based data retrieval.
• Strong, demonstrable experience building reports and dashboards in Power BI, including data modelling and DAX.
• Strong Structured Query Language (SQL) skills, with the ability to write and optimise complex queries across multiple tables and sources.
• Confidence interrogating unfamiliar data sources to understand structure, quality, and reliability.
• A proactive approach to identifying data gaps and proposing solutions, rather than waiting for direction.
• Good understanding of data modelling concepts, such as star schemas and relationships between fact and dimension tables.
• A good eye for visual design and dashboard usability, with an understanding of how to structure reports and interface flows so that insights are easy to find and act on.
• Strong communication skills, with the ability to explain technical findings to non-technical stakeholders.
• Working knowledge of Python for data manipulation, automation, or scripting.
• Experience with Azure data services, such as Azure SQL Database, Data Factory, or Databricks.
• Experience with ETL or ELT processes and tools.
• Familiarity with ERP, TMS, or WMS systems as data sources.
• Experience in the logistics, transport, or supply chain sector.
• Exposure to version control (such as Git) for managing scripts and code.
• Familiarity with UX or UI design principles as applied to dashboards and reporting tools.