Data Engineer

Résumé du poste

The role involves performing data engineering tasks within the IT services industry. The candidate will be responsible for managing and processing data infrastructure.

Détails du poste

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

Ce que vous ferez

The role involves performing data engineering tasks within the IT services industry. The candidate will be responsible for managing and processing data infrastructure.

Exigences

The position requires a minimum of 5 years of professional experience in data engineering. Candidates must demonstrate proficiency in relevant technical domains.

Compétences indiquées

• Microsoft Azure · Souhaitée
• Power BI · Souhaitée
• SQL · Souhaitée
• Production · Souhaitée
• Technical · Souhaitée
• Data Validation · Souhaitée
• Analyse de données · Souhaitée
• management · Souhaitée
• Reporting · Souhaitée
• Development · Souhaitée
• scheduling · Souhaitée
• Python · Souhaitée

Autres compétences pertinentes

Relevées dans la description du poste. Confirmez les exigences importantes ci-dessus.

• Data Engineering
• Solutions Support
• Azure Data Factory
• Reporting Solutions
• Data Analysis Expressions (DAX)
• Data Access
• Application Programming Interface (API)
• Automation
• Microsoft Azure
• Reconciliation
• Dashboard
• Data Validation
• Extract Transform Load (ETL)
• Data Modeling
• Financial Services
• Investment Management
• Warehousing
• Python (Programming Language)
• Power BI
• Self Service Technologies
• SQL (Programming Language)
• Storage Service Provider
• Scheduling
• PySpark
• Databricks

Domaines d’emploi

• Data & Analytics
• Technology
• Software
• Engineering
• Data Engineer
• Software Developers
• Database Administrators