Insights Engineer role
As
an Insights Engineer, you bridge data engineering and analytics to
drive strategic decision-making across the organization. You’ll build
and optimize data infrastructure, ensure reliable data flow from diverse
sources, and deliver actionable insights to business teams. This
hands-on role combines technical rigor with analytical creativity, ideal
for those passionate about both data science and engineering.
Core Responsibilities
Data Engineering
- Design and maintain scalable, secure, high-performance data pipelines (batch & streaming)
- Manage the full data lifecycle: acquisition, ingestion, transformation, storage, governance
- Integrate external web data into centralized data warehouses
- Ensure compliance with data privacy, security, and governance standards
- Champion GenAI and Agentic AI integration into workflows
Analytics & Insight Delivery
- Extract and analyze complex datasets using SQL, Spark, Hive, Airflow
- Build predictive models and custom algorithms to optimize outcomes
- Create compelling visualizations using Power BI, Python, or R
- Identify trends, respond to ad-hoc requests, and support teams with real-time insights
- Brainstorm innovative uses of proprietary data to solve business challenges
Collaboration & Strategy
- Partner with cross-functional teams to deliver enterprise-level data solutions
- Communicate findings and recommendations to stakeholders
- Empower teams to make faster, smarter decisions through precise data intelligence.