Business Intelligence Developer

Posted 20 Days Ago
Be an Early Applicant
Nicosia, CYP
In-Office
Mid level
Financial Services
The Role
Develop and operate Microsoft Fabric data platforms supporting internal Power BI reporting. Build dataflows, pipelines, lakehouses, API integrations, semantic models, and DAX measures. Improve ingestion reliability, security, data quality, alerting, deployment practices, documentation, and pipeline architecture. Migrate legacy solutions to shared layered components and help introduce SQL, Python, and AI-assisted development while maintaining production systems.
Summary Generated by Built In

About Rimes

Rimes provides the Intelligence Fabric for Capital Markets, a trusted data network and intelligence architecture that transforms fragmented data, operations and workflows into decision-grade intelligence. The world’s leading institutional investors, asset managers, and service providers rely on Rimes to help them make better investment decisions that power more than US$ 75 trillion in AUM annually.

The Opportunity:

Rimes is looking for a BI Developer to help own the Microsoft Fabric platform behind our internal reporting. It brings together data from multiple systems and feeds the Power BI reports used across the business. Reporting to the Head of BI, you will make the platform more robust, move older pipelines onto our layered architecture, and keep the semantic models on top of it healthy. As those foundations go in, you will help us move towards AI-mediated development, with more of our pipelines built by AI.

Core Responsibilities: 

  • Fabric Development: Build and maintain the dataflows, pipelines and lakehouses behind the platform, and deliver new sources and fields for stakeholders. 
  • Robust Ingestion: Strengthen the Power Query (M) that loads data from REST APIs, with dependable pagination, retries and incremental loads, so that failures are caught rather than passed downstream. 
  • Platform Operations: Own scheduled refreshes and pipeline runs, fix failures at their root, and add alerting and data-quality checks. 
  • Security and Access: Move credentials into managed connections and secret storage, and maintain workspace access and row-level security. 
  • Semantic Model Upkeep: Keep the Power BI semantic models healthy as the data layer changes: fix refreshes, repoint sources, and maintain DAX measures and relationships. 
  • Migration and Simplification: Move older pipelines onto our layered architecture, replace copied logic with shared components, and retire what is no longer needed. 
  • Release Management: Introduce source control, deployment pipelines and separate development and production environments. 
  • Documentation: Write runbooks and design notes so that anyone on the team can support the platform. 
  • Platform Evolution: Help move transformation logic into SQL and Python in Fabric notebooks where it makes the platform easier to maintain. 
  • AI-Mediated Development: Use AI tools in your day-to-day work, and build the standards, templates and checks that let AI build and change pipelines safely.

Requirements: 

Core Experience 

  • 3–5 years in BI development or data engineering, mostly on the Microsoft data platform. 
  • Experience supporting production pipelines and semantic models, including fixing failures at their root cause. 
  • Experience taking over and improving solutions built by others. 
  • A methodical, ownership-minded approach and clear communication. 
  • A genuine interest in AI-assisted development and where it adds the most value. 

Technical Skills 

  • Microsoft Fabric: Hands-on with Dataflow Gen2, Data Pipelines, Lakehouses and OneLake. 
  • Power Query (M): Strong M; comfortable debugging and optimising complex queries written by others. 
  • REST APIs: Pagination, rate limits, OAuth and token authentication, and incremental loads. 
  • Semantic Models and DAX: Star schemas, relationships, storage modes and row-level security, with good DAX (filter context and iterators) to read, fix and extend measures. 

Only selected candidates will be contacted for interviews. We appreciate your understanding. Thank you for considering a career with us.

Rimes is committed to promote the values of diversity and inclusion throughout the business. Whether it’s through recruitment, retention, career progression or training and development, we are committed to improving opportunities for people regardless of their background or circumstances.

Visit our Careers page to see our complete listings.

Skills Required

  • 3-5 years of experience in BI development or data engineering, primarily on the Microsoft data platform
  • Experience supporting production pipelines and semantic models, including resolving failures at their root cause
  • Experience taking over and improving solutions built by others
  • Methodical, ownership-minded approach and clear communication
  • Genuine interest in AI-assisted development
  • Hands-on experience with Microsoft Fabric Dataflow Gen2, Data Pipelines, Lakehouses, and OneLake
  • Strong Power Query M skills, including debugging and optimizing complex queries
  • Experience with REST API pagination, rate limits, OAuth, token authentication, and incremental loads
  • Knowledge of semantic models and DAX, including star schemas, relationships, storage modes, row-level security, filter context, and iterators
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The Company
HQ: New York, NY
310 Employees
Year Founded: 1996

What We Do

Rimes provides transformative data management and investment intelligence solutions to the world's leading investors and asset managers. Driven by our passion for solving the most complex data problems, we partner with our clients to help them make better investment decisions using accurate information and industry-leading technology. Headquartered in New York and London, Rimes serves its global clients through offices in Europe, the Americas and the Asia Pacific.

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