PowerBI Data Engineering Manager
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Job Title: Power BI Data Engineering Manager
Duration: Full Time, Direct Hire
Location: North Austin Hybrid Office Schedule
Job Description:
We are needing candidates who have strong, hands-on engineering in PowerBI. Candidates also need to have experience in managing teams.
Team is seeking a hand's on Lead-type who can be a go-to person for the team. They have been doing interviews; those that were rejected was mostly due to not being "working, hand's on managers" who can handle both hand's on and people-management.
Resource will start as an IC and hand's on developer, then be part of building the team ground up; team size will be ~5-6 max, mix of on/offshore resources. The team is staffed well today with ideal span of control, but they want to have the next Engineering Manager in place so they are ready to scale. Will be hand's on until they grow into a manager.
Engineering Manager is still a "working management" role, 70% hand's on technical/management and 30% people management, work with Product Owners and setting standards/schedules. Engineering Manager should be involved enough to answer 70% of on the ground questions, help as a Lead in a hand's on capacity.
Technology stack:
- Strong Cloud experience required but open to which cloud provider AWS, Azure, Google Cloud Platform
- McLane is on their Fabric journey, so ideally candidates have experience with Fabric and have put a couple products in place working with billions of lines of data but Fabric is a preference, not a requirement
- Experience writing complex queries and DAX
- Experience with large data sets and complex reporting
- Strong SQL dev skills
- Python
- PySpark
- Spark
- Big Data experience
Nice to have:
Azure cloud (Fabric would be exceptional)
Agile environment (but understanding they are immature in Agile)