ClickHouse Data Engineer Consultant: Build Pipelines

ClickHouse Data Engineer Consultant: Build Pipelines

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

  • Tasks: Build scalable data platforms and implement data pipelines using ClickHouse.
  • Company: Join Data Intellect, a leader in innovative data solutions.
  • Benefits: Competitive pay, flexible work options, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and client engagement.
  • Why this job: Shape the future of data engineering in exciting financial projects.
  • Qualifications: Experience with Python, SQL, and cloud-native architectures required.

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

Data Intellect is seeking experienced Consultants / Data Engineers to build scalable, high-performance data platforms, with a focus on Click House.

This is a chance to shape our new Click House capability and work on challenging financial services projects.

You will engage directly with clients, design data models, and implement data pipelines across cloud-native architectures, leveraging Python, SQL and modern data engineering practices.

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ClickHouse Data Engineer Consultant: Build Pipelines employer: Data Intellect Services Limited

At Data Intellect, we pride ourselves on fostering a collaborative and inclusive work culture that empowers our employees to grow and excel. As a Python Engineer in our New Product Team based in Belfast, you'll have the opportunity to work on exciting international projects while receiving structured training and hands-on experience with cutting-edge technologies. With a commitment to employee development and a focus on solving complex challenges for our clients, Data Intellect is an excellent employer for those seeking meaningful and rewarding careers in the tech industry.

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Contact Details:

Data Intellect Services Limited Recruitment Team

We think you need these skills to ace ClickHouse Data Engineer Consultant: Build Pipelines

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