Data Engineer

Overview
We are looking for a hands-on Senior Analytics Engineer to help build and modernise enterprise reporting solutions on Data-bricks and Power BI.
The role will support the development of governed reporting datasets, interactive Power BI dashboards, and automated reporting solutions for business users. The ideal candidate should be comfortable working across data engineering, reporting, and analytics layers.

Responsibilities
• Design and build reporting datasets in Databricks using SQL and Delta tables.
• Create reusable reporting views and data models for business consumption.
• Develop Power BI dashboards, semantic models, and self-service reporting solutions.
• Implement automated report generation and distribution solutions.
• Work with business analysts and stakeholders to translate reporting requirements into technical solutions.
• Support data reconciliation, testing, and production deployment activities.
• Optimize reporting performance and data access patterns.

Required Skills
Data-bricks
• Data-bricks SQL*
• Unity Catalogue
• SQL Warehouses
• Delta Tables
• Data modelling

Power BI/Data-bricks Dashboard
• Power BI Desktop*
• Semantic Models
• DAX
• Power Query
• Dashboard development (Power BI & Data-brick)

Data Engineering
• Advanced SQL
• Data Warehousing concepts
• ETL / ELT development
• Data validation and reconciliation

Nice to Have
• Python / PySpark
• Power BI APIs
• Paginated Reports
• Report scheduling and distribution
• Financial services or investment management experience
• Data-bricks reporting architecture experience

Azure
• Azure Data Factory (ADF)
• Azure Storage
• Service Principals and security concepts