Data Analytics Engineer: Warehouse & Insights in London

Data Analytics Engineer: Warehouse & Insights in London

London Full-Time 50000 - 70000 Β£ / year (est.) No working from home possible
MCP Cloud

At a Glance

  • Tasks: Integrate data, design reports, and provide insights to shape business strategy.
  • Company: MCP Cloud, a forward-thinking tech company in London.
  • Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
  • Other info: Be part of an innovative environment with exciting career advancement potential.
  • Why this job: Join a dynamic team and influence product direction with your data insights.
  • Qualifications: Strong maths or computer science background; AI development experience is a bonus.

The predicted salary is between 50000 - 70000 Β£ per year.

MCP Cloud is expanding its data team in London to build a world-class data warehouse and analytics platform.

You will integrate data from diverse sources, design automated reports, and provide insights that influence product roadmap and business strategy.

As a data-focused role, you will work with Big Query/Snowflake, dbt, Airflow, and visualization tools to deliver actionable analyses.

Strong mathematical or CS background preferred and AI-assisted development experience is a plus.

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Data Analytics Engineer: Warehouse & Insights in London employer: MCP Cloud

As a Data Analyst in our London office, you'll be part of a dynamic and innovative data team dedicated to building a world-class analytics platform. We offer a collaborative work culture that fosters creativity and professional growth, alongside competitive benefits and opportunities for skill development in cutting-edge technologies. Join us to make a meaningful impact on our product strategy while enjoying the vibrant atmosphere of one of the world's leading cities.

MCP Cloud

Contact Details:

MCP Cloud Recruitment Team

We think you need these skills to ace Data Analytics Engineer: Warehouse & Insights in London

Communication Skills
SQL
Python
Problem-Solving Skills
Automation
Data Engineering
Data Pipeline Development