Data Engineering Manager, Analytics
Warsaw, Poland
The perfect candidate will have strong data infrastructure and data architecture skills, a proven track record of leading and scaling BI teams, strong operational skills to drive efficiency and speed, strong project management leadership, and a strong vision for how BI can proactively improve companies.Data Engineering Manager, Analytics Responsibilities
- Proactively drive the vision for BI and Data Warehousing across a product vertical, and define and execute on a plan to achieve that vision.
- Define the processes needed to achieve operational excellence in all areas, including project management and system reliability.
- Build a high-quality BI and Data Warehousing team and design the team to scale.
- Build cross-functional relationships with Data Scientists, Product Managers and Software Engineers to understand data needs and deliver on those needs.
- Manage data warehouse plans across a product vertical.
- Drive the design, building, and launching of new data models and data pipelines in production.
- Drive data quality across the product vertical and related business areas.
- Manage the delivery of high impact dashboards and data visualizations.
- Define and manage SLA’s for all data sets and processes running in production.
- 8+ years of experience in BI and Data Warehousing.
- Experience scaling and managing 3+ person teams.
- Communication and leadership experience, with experience initiating and driving projects.
- Project management experience.
- Data architecture experience.
- Experience in SQL or similar languages.
- Development experience in at least one object-oriented language (Python, Java, etc.).
- BA/BS in Computer Science, Math, Physics, or other technical fields.
- Experience in a consumer web or mobile company.
- Experience with data sets, Hadoop, and data visualization tools.
- Advanced degree
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Architecture Computer Science Data pipelines Data quality Data visualization Data warehouse Data Warehousing Engineering Hadoop Java Mathematics Physics Pipelines Python SQL VR
Perks/benefits: Career development Startup environment
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