Analytics Engineering Lead - Scale Data, Govern & Grow

Analytics Engineering Lead - Scale Data, Govern & Grow

Full-Time 60000 - 80000 Β£ / year (est.) No working from home possible
Kaluza

At a Glance

  • Tasks: Lead the charge in creating scalable, reliable data practices and models.
  • Company: Join Kaluza, a forward-thinking company dedicated to data excellence.
  • Benefits: Enjoy competitive pay, flexible work options, and opportunities for growth.
  • Other info: Be part of a dynamic team fostering a culture of innovation.
  • Why this job: Shape the future of data while driving impactful business strategies.
  • Qualifications: Experience in analytics engineering and a passion for data-driven decision making.

The predicted salary is between 60000 - 80000 Β£ per year.

Kaluza is looking for an Analytics Engineer Lead to set the gold standard for data practices. You will be the architect responsible for scalable, reliable data built on modern best practices, driving the strategy behind data models and bridging business goals with technical realities.

Your responsibilities include:

  • Defining engineering best practices
  • Owning the long-term vision for data modelling
  • Partnering cross-functionally to champion a data-driven culture across Kaluza

Analytics Engineering Lead - Scale Data, Govern & Grow employer: Kaluza

Kaluza is an exceptional employer that fosters a collaborative and innovative work culture, where your contributions as an Analytics Engineering Lead will directly influence the future of data practices. With a strong commitment to employee growth, Kaluza offers ample opportunities for professional development and encourages a data-driven mindset across all teams, making it an ideal place for those looking to make a meaningful impact in the tech industry.

Kaluza

Contact Details:

Kaluza Recruitment Team

We think you need these skills to ace Analytics Engineering Lead - Scale Data, Govern & Grow

Communication Skills
Problem-Solving Skills
SQL
Python
API Integration
Data Engineering
Data Pipeline Development