Senior BI & Data Engineer, PowerBI, Databricks

🕒 April 21

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Ascent

WebsiteLinkedInAll Job Openings

201 - 500 employees

🤖 Artificial Intelligence

☁️ SaaS

Artificial Intelligence • SaaS

Ascent is a design-led data, software, and cloud company specializing in AI and advanced analytics. The company offers a range of services including digital experience engineering, data science, UX design, cloud solutions, and more. With a focus on innovation and technology advisory, Ascent helps customers drive digital transformation by modernizing and optimizing their data and software applications. Their team of engineers, architects, data scientists, and experience designers aims to empower businesses across various industries to develop scalable solutions, enhance customer experiences, and deliver significant business outcomes. Ascent collaborates with businesses in sectors such as insurance, healthcare, retail, and more, providing tailored solutions that meet specific needs and challenges.

📋 Description

• Support a global reinsurance client in transforming their claims reporting landscape • Play a key role in building and operating a centralized reporting platform • Contribute to the development of a single source of truth for claims data on Azure Databricks • Design scalable data models, deliver high-quality dashboards, and ensure robust reporting solutions • Work closely with stakeholders across business and technology to translate complex reporting needs into impactful analytics products

🎯 Requirements

• 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

🏖️ Benefits

• 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.