Data Engineer
Core
Design, build, and maintain SQL-based data platforms and pipelines to support business reporting and analytics.
Role type
Data Engineer (Microsoft Data and Analytics ecosystem)
Builds
Data pipelines, ETL solutions, Power BI datasets, dashboards, and reports
Domain
Financial services / Microsoft Data and Analytics
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL (complex queries, joins, subqueries, stored procedures), Power BI (Power Query, DAX), relational database design, data validation and reconciliation, data quality monitoring, root-cause analysis, operational reporting automation
Preferred skills
Microsoft Fabric, Azure Data Factory, API integrations, Python scripting, data warehousing concepts
Technologies
SQL, Power BI, Azure, Microsoft Fabric, Azure Data Factory, Python
Responsibilities
Develop and optimize SQL databases and data platforms; Build and support data pipelines and ETL processes; Develop and maintain Power BI datasets and reports; Support Azure-based data services; Automate operational reporting; Monitor data quality and perform validation; Troubleshoot data-processing issues; Collaborate with business units on reporting requirements
Seniority
Mid-level (2–5 years experience)