Ascent
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.
Senior Data Engineer – PowerBI, Databricks
🕒 May 23
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Ascent
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
• 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 • 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 • 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
🎯 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
🏖️ Benefits
• Flexible work arrangements
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