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Senior Data Engineer – Power BI & Azure Databricks

Role overview

Qualifications

  • Strong Power BI experience (data modelling, DAX, performance tuning)
  • Solid experience with Azure Databricks (PySpark and/or Spark SQL)
  • Good understanding of Delta Lake and medallion architecture
  • Strong SQL and data warehousing knowledge

Responsibilities

  • Build and enhance Power BI dashboards, datasets, and semantic models
  • Apply best-practice data modelling (star schema, conformed dimensions)
  • Develop DAX measures for key claims KPIs (incurred, paid, reserves, etc.)
  • Optimize performance (efficient models, DAX tuning, incremental refresh)

About the company

Ascent logo

Ascent

RegTech (Regulatory & Compliance Technology)

Company details

Company typeSME
IndustryRegTech (Regulatory & Compliance Technology)

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Job description

About Us
Ascent is now part ofAcuity Analytics, marking an exciting new chapter with strong global reach, an impressive client base, and ambitious growth plans. Together, we deliver cutting-edge data and digital transformation solutions to high-growth and regulated organisations—combining talent, technology, and deep domain expertise to drive real business impact.

About the Role
We’re looking for a (Senior) BI & Data Engineer to support global claims reporting for a leading reinsurance organisation. You’ll work at the intersection of Power BI and Azure Databricks, building scalable data models and high-impact dashboards that serve as a single source of truth for the business.

Key Responsibilities

Power BI & Analytics

  • Build and enhance Power BI dashboards, datasets, and semantic models
  • Apply best-practice data modelling (star schema, conformed dimensions)
  • Develop DAX measures for key claims KPIs (incurred, paid, reserves, etc.)
  • Optimize performance (efficient models, DAX tuning, incremental refresh)
  • Ensure consistent metrics across all reporting

Databricks & Data Engineering

  • Work with Azure Databricks (Delta Lake) as the core data platform
  • Support development of curated data layers (Silver / Gold)
  • Build SQL / PySpark transformations for reporting
  • Ensure data quality, reconciliation, and traceability
  • Follow governance standards and collaborate with data teams

Collaboration & Delivery

  • Partner with Product Owners and stakeholders
  • Turn business needs into scalable BI solutions
  • Contribute to agile delivery (sprints, backlog, documentation)
  • Share knowledge and best practices across the team

Skills Required

  • Strong Power BI experience (data modelling, DAX, performance tuning)
  • Solid experience with Azure Databricks (PySpark and/or Spark SQL)
  • Good understanding of Delta Lake and medallion architecture
  • Strong SQL and data warehousing knowledge
  • Experience working with large, complex datasets
  • Comfortable in international, stakeholder-heavy environments

Nice to Have

  • Insurance / reinsurance or claims reporting experience
  • Knowledge of data governance, data products, or data mesh
  • Exposure to financial or actuarial reporting
  • Experience with DevOps / CI-CD (Power BI or Databricks)

Ways of Working

  • Agile environment
  • Collaborative, team-focused culture
  • Strong focus on quality, ownership, and delivery

If you’re excited about building modern data platforms and delivering meaningful insights at scale, we’d love to hear from you.

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.

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Marcus Rivera

Chief Revenue Officer

m.rivera@company.com
linkedin.com/in/marcusrivera
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