As a Senior Business Intelligence Engineer, you will play a key role in managing and modernizing our Business Intelligence Platform. The platform is built on Microsoft Azure SaaS Services and follows modern reference architectures for small and midsize businesses.
In addition to daily tasks such as data analysis, data integration, data modelling, and report design, you’ll also be responsible for requirements gathering, testing, managing CI/CD pipelines, and monitoring usage of BI deliverables.
We’re looking for BI Engineers with strong back-end development skills, platform development experience, and deep technical expertise. Your input will help shape the platform’s future—whether it’s adding or removing Azure services, driving cost optimization, improving security and compliance, automating workflows, or preparing for a transition to Microsoft Fabric.
Operational activities such as business support and bi-weekly releases are shared across the team, so these will occasionally be part of your responsibilities. Documentation is also important—you’ll record new data integration pipelines, data models, and processes in Confluence.
You’ll actively participate in all Scrum ceremonies, collaborating with multiple departments and building a high-level view of the business. Prior knowledge in areas such as Sales, Finance, Operations, or Risk is highly valued.
We value teamwork, knowledge sharing, and maintaining a positive atmosphere. In essence, your role includes:
Demonstrating BI and analytics solutions to stakeholders.
Collaborating with business users to turn requirements into effective solutions.
Migrating reports from Excel and legacy tools into the Data Warehouse and Power BI platform.
Creating and maintaining Power BI reports and dashboards.
Implementing Row-Level Security in AAS and Power BI.
Developing and managing semantic models in Power BI and Tabular Models in AAS.
Designing, implementing, and documenting new data models.
Creating and optimizing data pipelines.
Building and enriching CI/CD pipelines in Azure DevOps.
Integrating new source systems and transforming data using Azure Data Factory.
Managing and enhancing the BI Data Warehouse.
Your Expertise To succeed in this role, we’re looking for candidates with:
A motivated, positive attitude with a passion for continuous learning.
Familiarity with Git and CI/CD pipelines (Azure DevOps experience is a plus).
Programming skills in Python or similar language.
Solid understanding of dimensional modelling, star schema, snowflake schema, and data vault methodologies.
At least 5 years of experience with Microsoft Azure or another cloud platform.
Strong SQL skills (T-SQL, PL/SQL, or similar).
Exposure to Azure Logic Apps, Azure Synapse Analytics, PowerApps, or Azure Automation.
A background in IT & Business, Business Information Technology, or a related field.
Knowledge of Microsoft BI reference architectures.
Experience with Databricks, dbt, Snowflake, or other cloud data platforms is a plus.
Ability to write, optimize, and interpret queries.
Experience with Power BI or other visualization tools.
Understanding of Medallion Architecture, Data Mesh, and Data Vault concepts.
Knowledge of data streaming and real-time analytics solutions.
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