Data Engineering Lead at BlackStone eIT managing a team and driving data solutions aligned with strategic goals. Collaborating with departments to ensure effective data management.
About the role
- Data Scientist developing customer-focused data products to improve customer journey at Noibu. Collaborating with teams to analyze feedback data and shape analytics strategies.
Responsibilities
- Own the end-to-end development of customer-focused data products
- Translate business questions from Go-To-Market (Sales, Marketing and CS) and Product partners into clear requirements
- Explore product usage and feedback data and turn findings into dashboards, reports, and recommendations
- Advocate for data quality and performance as you shape the long-term analytics strategy around customers and their lifecycle
- Collaborate closely with R&D and product teams to define data contracts and ensure product telemetry and event tracking are structured for downstream analytics
Requirements
- 4+ years of experience building data infrastructure in a high-growth startup or fast-moving technology environment
- Strong experience designing and maintaining production-grade data pipelines in a modern data stack
- Hands-on experience with cloud data warehouses such as Snowflake, BigQuery, or Redshift
- Strong proficiency with SQL and at least one programming language (e.g., Python, Scala)
- Deep experience with data transformation frameworks (dbt) and modern data modeling practices
- Experience with data orchestration tools such as Airflow or Dagster to manage and monitor pipelines
- Experience integrating and unifying data from multiple SaaS platforms and product data sources
- Experience working in SaaS or technology environments, especially with product analytics and customer lifecycle data.
Benefits
- Unlimited Time Off & Flexible Working Style
- Health benefits from Day 1
- Company-wide holiday shutdown yearly
- Monthly Company-Wide & Team-Specific Socials
- Annual Holiday Party
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