Lead Data Warehouse Test Manager (Hybrid) - Snowflake/DBT

Lead Data Warehouse Test Manager (Hybrid) - Snowflake/DBT

Full-Time 63000 - 77000 Β£ / year (est.) No working from home possible
T

At a Glance

  • Tasks: Lead testing efforts and develop strategies for data warehouse projects using Snowflake and DBT.
  • Company: Join TEKsystems, a dynamic tech company in London with a focus on innovation.
  • Benefits: Enjoy a hybrid work model, competitive pay, and opportunities for professional growth.
  • Other info: Exciting role with potential for career advancement in a fast-paced environment.
  • Why this job: Make a real impact in the insurance industry while leading a talented team.
  • Qualifications: Experience in data warehousing, test automation, and agile methodologies required.

The predicted salary is between 63000 - 77000 Β£ per year.

TEKsystems in London is seeking a Lead Test Manager with data warehouse and data platform experience for a 6+ month hybrid role.

You will write test strategies and plans, lead testers, and guide clients on quality approaches.

The position requires hands-on testing in a data warehouse environment using Snowflake and DBT, plus test automation, defect management and reporting in an agile setting.

Insurance industry knowledge is essential.

#J-18808-Ljbffr

Lead Data Warehouse Test Manager (Hybrid) - Snowflake/DBT employer: Teksystems

As an Azure Solution Architect with us, you'll thrive in a dynamic work culture that prioritises innovation and collaboration. We offer competitive benefits, including professional development opportunities to enhance your skills in cloud technologies, all while working in a vibrant location that fosters creativity and teamwork. Join us to be part of a forward-thinking company that values your contributions and supports your career growth.

T

Contact Details:

Teksystems Recruitment Team

We think you need these skills to ace Lead Data Warehouse Test Manager (Hybrid) - Snowflake/DBT

Communication Skills
Problem-Solving Skills
SQL
Python
Automation
Attention to Detail
Data Engineering