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Business Intelligence Developer

Job in Greater London, London, Greater London, W1B, England, UK
Listing for: Holland Mountain
Full Time position
Listed on 2026-02-28
Job specializations:
  • IT/Tech
    Data Engineer, Data Warehousing
Job Description & How to Apply Below
Location: Greater London

Location: London Bridge, London (Hybrid – 3 days office: Mon, Tue & Thurs)

Employment Type: Permanent

Department: Professional Services

About Holland Mountain

Holland Mountain is a global leader in consulting and data solutions for the Private Markets industry. Since 2009, we’ve helped Private Capital managers unlock the power of their data and achieve true Data as an Asset.

Our award-winning ATLAS data platform and expert consulting services—from strategy to system implementation—deliver smarter analytics, seamless integration, and lasting operational excellence.

Winners of The Drawdown’s 2025 PE Service Provider Awards for Best Advisory/Consultancy and Best Technology for Data, we’re recognised as one of the most trusted and respected partners in the Private Capital industry.

The Opportunity

We are looking for a BI Developer to join our Professional Services team.

In this role, you will design, build and enhance business intelligence solutions that enable our clients to make better, data-driven decisions. You will be responsible for delivering high-quality ETL processes, data models and reporting solutions that meet agreed technical standards and business requirements.

This is an exciting opportunity to work on complex data challenges within the Private Markets space, collaborating with experienced analysts, architects and senior developers in a high-performing, supportive environment.

Core Technical Expertise
  • Experience developing SSAS Multidimensional and Tabular models
  • Experience with ETL development and data warehousing methodologies
  • Familiarity with Azure data services and modern data platforms
  • Experience working with Data Vault and Kimball modelling approaches
What We’re Looking For

Core Technical Expertise

  • Experience developing SSAS Multidimensional and Tabular models
  • Experience with ETL development and data warehousing methodologies
  • Familiarity with Azure data services and modern data platforms
  • Experience working with Data Vault and Kimball modelling approaches
Personal Attributes
  • Strong problem-solving skills with attention to detail
  • Comfortable working with evolving requirements and imperfect data
  • Collaborative mindset with excellent communication skills
  • Commitment to quality, accuracy and continuous improvement
What We Offer
  • Enhanced pension contributions
  • Annual training budget (certifications, conferences, specialist courses)
  • Clear career progression pathways
  • Exposure to industry-leading clients and complex data challenges

We are committed to continuous learning and professional development, supporting your growth both technically and commercially.

Why Join Us?

People are at the core of everything we do. Your success will be measured through clear KPIs, and you’ll have ongoing opportunities to expand your expertise while contributing to innovative, high-impact data solutions for leading Private Capital firms.

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