We are seeking highly skilled and motivated Senior Data Engineers with expertise in Databricks and Azure to join our team. As a Senior Data Engineer, you will be responsible for implementing domain-specific use cases within our medallion architecture lakehouse environment. Working with data that is already available in the Bronze layer, you will focus on transforming and refining data through the Silver layer and building high-quality data products and data marts in the Gold layer. You will work closely with business intelligence development teams, domain stakeholders, and analytics teams to ensure efficient data flow and enable data-driven decision-making across critical business domains.
Core Data Engineering Responsibilities
Transform and enrich data from the Bronze layer (raw data) into the Silver layer by performing data quality checks, cleansing, validation, standardization, and modeling activities
Domain-Specific Responsibilities:
Depending on your domain expertise, you will work on one of the following business areas:
Sales Domain:
Design and implement data solutions for Sales Controlling, Sales Reporting, pipeline analysis, and sales performance metrics
Strong understanding of sales concepts, KPIs, and reporting requirements is essential
Finance Domain:
Build data products for Financial Reporting, Profit & Loss (P&L), balance sheet analysis, and other financial analytics
Familiarity with financial terminology, accounting principles, and financial reporting standards is required
Project Business Domain:
Develop data solutions for project controlling and profitability analysis
Work with metrics such as margins, billable hours, invoiced hours, profitability/contribution margin (DB), billability rates, and project performance tracking
We are looking for multiple engineers (1-2 per domain) who can bring both technical excellence and domain expertise to transform raw data into valuable business insights.
