Hybrid Analytics Engineer: Build Data Lakehouse Pipelines

Hybrid Analytics Engineer: Build Data Lakehouse Pipelines

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

At a Glance

  • Tasks: Transform raw data into actionable insights and build innovative data pipelines.
  • Company: ZHA, a leader in design and project delivery with a focus on data evolution.
  • Benefits: Flexible work environment, competitive salary, and opportunities for professional growth.
  • Other info: Dynamic workplace with a focus on innovation and collaboration.
  • Why this job: Join a cutting-edge team and make a real impact on data-driven decision-making.
  • Qualifications: Experience in data engineering and analytics, with strong problem-solving skills.

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

ZHA is evolving its data capabilities to support world‑leading design, project delivery and decision‑making. We are seeking an Analytics Engineer to help advance the practice’s data ecosystem by transforming raw information into well‑modelled, actionable datasets that empower our teams to explore, analyse and innovate.

Working at the intersection of data engineering and analytics, you will develop the pipelines, transformations and models that underpin our modern lakehouse platform.

Hybrid Analytics Engineer: Build Data Lakehouse Pipelines employer: ZHA

At ZHA, we pride ourselves on being an exceptional employer, offering a dynamic work environment in the heart of London where creativity and innovation thrive. Our collaborative culture fosters professional growth, providing ample opportunities for employees to develop their skills while contributing to groundbreaking architectural projects that make a global impact. With a commitment to sustainability and community-focused design, joining our team means being part of a forward-thinking organisation that values your contributions and supports your career journey.

ZHA

Contact Details:

ZHA Recruitment Team

We think you need these skills to ace Hybrid Analytics Engineer: Build Data Lakehouse Pipelines

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