{
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  "job_title": "Senior Business Intelligence Developer",
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  "employer_name": "Gravitas Recruitment Group (Global) Ltd",
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  "job_posted_at": "12 days ago",
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  "job_description": "Senior BI Developer\n\n£55,000 – £65,000 + Bonus | Manchester or Fareham (Hybrid after probation)\n\nGravitas is supporting a growing financial services organisation in the search for a Senior BI Developer to take full ownership of their business intelligence estate.\n\nThis is a crucial role for an experienced BI professional who can translate complex data into meaningful insights, develop high‑quality Power BI assets, and act as the bridge between a modern Databricks‑based data platform and business stakeholders.\n\nIf you’re passionate about designing clean, scalable BI solutions that genuinely influence decision-making—and you’re confident working with senior stakeholders in a regulated environment—this is an excellent opportunity to elevate your impact.\n\nWhat You’ll Be Doing\n• Own, develop, and maintain the organisation’s Power BI estate, including dashboards, semantic models, paginated reports, and Power BI Service administration.\n• Build robust semantic models that connect Power BI directly to Databricks lakehouses and SQL Server.\n• Create SSRS and paginated reports to support operational, financial, and regulatory reporting needs.\n• Work closely with the data engineering team to ensure BI outputs align with upstream pipelines and business logic.\n• Partner with stakeholders across Operations, Finance, Compliance, and Portfolio Management to translate requirements into clear, accurate, insightful reporting.\n• Promote Power BI self-service across the business, providing training and guidance to users.\n• Contribute to data governance efforts, including data lineage, documentation, and data dictionary maintenance.\n• Support ad hoc analysis and provide input into board reporting packs.\n• Ensure reporting outputs meet FCA regulatory requirements and internal governance standards.\n\nWhat You Bring\n\nCore Experience\n• 5+ years’ experience in BI development with a strong, demonstrable Power BI portfolio.\n• Expert-level Power BI capability: data modelling, DAX, paginated reports, workspace and Service administration.\n• Strong SQL skills and experience working with SQL Server and/or Azure Synapse.\n• Ability to design and optimise semantic models connected to Databricks.\n• Experience building SSRS or equivalent formatted reports.\n• Proven confidence presenting insights to senior, non-technical stakeholders.\n\nNice to Have\n• Experience with Azure Synapse Analytics or Azure Data Factory.\n• Familiarity with Databricks notebooks, and basic Python or PySpark exposure.\n• Experience within financial services or another regulated industry.\n• Understanding of data governance, data quality, and lineage frameworks.\n\nYour Working Style\n\nTechnical Excellence\n• Holds high standards in report quality, DAX performance, and data model design.\n• Maintains a clean, organised, and well-documented Power BI environment.\n• Keeps up-to-date with the evolving Microsoft BI ecosystem.\n\nCommercial Awareness\n• Understands business context and stakeholder needs.\n• Communicates insights clearly and designs reporting that drives action.\n\nCollaboration\n• Works effectively with data engineers, analysts, and business teams.\n• Skilled at gathering and refining requirements and managing expectations.\n\nDrive & Initiative\n• Proactively identifies opportunities to improve BI outputs and coverage.\n• Takes full ownership of deliverables, ensuring they are delivered to a high standard.\n\nWhat’s on Offer\n• £55,000 – £65,000 base salary\n• Discretionary annual bonus\n• 25–30 days holiday (based on tenure) + birthday day off\n• Pension scheme with up to 5% matched contributions\n• Cycle & Tech schemes\n• Manchester or Fareham office location\n• Office‑based during probation, then hybrid working",
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  "employer_website": "https://www.gravitasgroup.com",
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  "job_employment_type": "Full–time",
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  "job_posted_at_timestamp": 1773014400,
  "job_posted_at_datetime_utc": "2026-03-09T00:00:00.000Z"
}