Position Details
About this role
Senior Associate Data Engineer at PwC focused on Databricks and Kafka to design and implement client data solutions, build advanced data ecosystems, and mentor junior staff.
Key Responsibilities
- Design and implement innovative data solutions
- Build and manage advanced data ecosystems
- Analyze complex problems and mentor juniors
- Maintain exceptional deliverable standards
- Build and nurture client relationships
Technical Overview
Stack includes Databricks and Apache Kafka with ETL/ELT pipelines and data warehousing; analytics tools like Tableau/Power BI; consulting context emphasizes client-facing delivery and data governance.
Ideal Candidate
The ideal candidate is a senior data engineer with 10+ years of experience, expert in Databricks and Kafka, proficient in ETL/ELT pipelines and data warehousing, and comfortable delivering client-facing data solutions in a consulting context.
Must-Have Skills
Nice-to-Have Skills
Tools & Platforms
Required Skills
Hard Skills
Soft Skills
Industry & Role
Keywords for Your Resume
Deal Breakers
Lack of Databricks or Kafka experience, Less than 10 years of experience, No client-facing/consulting experience
Get matched to jobs like this
Luna finds roles that fit your skills and career goals — no endless scrolling required.
Create a Free Profile