Acuity Analytics

Compensation

Full Description

Please note this role must be based in Malta or Bulgaria. The creative mind behind every project. Put your skills to the test to build solutions that continue to shape the world we live in! About Us Ascent has recently been acquired by Acuity Analytics. This is both a significant milestone for us and a tremendous opportunity for you. Acuity Analytics is a business with a strong global reputation, an impressive client base and ambitious growth plans. We deliver deep insights and domain-led digital transformation to high-growth and heavily regulated organisations. To our customers, we bring a partnership that provides the talent, technology and capability to enhance performance and operational efficiency. About the Role We are seeking a (Senior) BI & Data Engineer – Power BI & Azure Databricks to support a global reinsurance client in transforming their claims reporting landscape. You will play a key role in building and operating a centralized reporting platform, contributing to the development of a single source of truth for claims data on Azure Databricks. This role combines strong Power BI expertise with hands-on data engineering skills, enabling you to design scalable data models, deliver high-quality dashboards, and ensure robust, performant, and business-aligned reporting solutions. You will work closely with stakeholders across business and technology to translate complex reporting needs into impactful analytics products. Key Responsibilities Power BI & Analytics Design, develop, and maintain Power BI datasets, semantic models, and reports for global claims reporting Implement best-practice data modelling (star schema, claim-centric fact tables, conformed dimensions) Develop complex DAX measures for claims KPIs (e.g. incurred, paid, reserves, ultimates, movements) Optimise report performance (model size, DAX efficiency, incremental refresh) Ensure consistency of KPIs and definitions through a centralized data model Databricks & Data Engineering Work with Azure Databricks (Delta Lake) as the primary reporting data source Contribute to the design and implementation of curated data layers (e.g. silver/gold) Develop and maintain SQL / Spark-based transformations aligned with reporting requirements Support data quality, reconciliation, and traceability from source systems to reporting outputs Collaborate with data product teams and follow platform standards and governance Collaboration & Delivery Work closely with Product Owners, stakeholders, and cross-functional teams Translate business reporting requirements into scalable technical solutions Contribute to agile delivery (backlog refinement, sprint execution, documentation) Promote knowledge sharing and best practices within the team Required Skills & Experience Strong hands-on experience with Power BI (data modelling, DAX, performance optimisation) Proven experience building enterprise-grade dashboards and semantic models Practical experience with Azure Databricks (PySpark and/or Spark SQL) Solid understanding of Delta Lake and medallion architecture Strong grounding in data warehousing and BI architecture principles Experience working with large, complex datasets in a reporting environment Ability to work independently in a multi-stakeholder, international setting Nice to Have Experience in insurance or reinsurance reporting Familiarity with claims data (losses, reserves, payments, ultimates, movements) Knowledge of data governance, data products, or data mesh concepts Experience with financial or actuarial reporting Exposure to DevOps / CI-CD for Power BI or Databricks Understanding of regulatory or management reporting in insurance Why join us People are at the Heart of our Business. By investing in people, we achieve exceptional results for our clients and create new opportunities for our teams to thrive. Check out this page for more details. If you have any questions contact our Talent Acquisition team on ta.admin@acuityanalytics. For more details about life at Ascent, check out our Life Page here. For more details about Acuity Analytics please see here: Read here.