ClickHouse Data Engineer β€” Scale High-Performance Finance Pipelines

ClickHouse Data Engineer β€” Scale High-Performance Finance Pipelines

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

At a Glance

  • Tasks: Design and optimise high-performance data pipelines for global finance clients.
  • Company: Data Intellect, a leader in scalable data solutions.
  • Benefits: Competitive salary, flexible working, and opportunities for professional growth.
  • Other info: Collaborative environment with a focus on innovation and client success.
  • Why this job: Join a dynamic team and shape the future of finance with cutting-edge technology.
  • Qualifications: Experience in Python, SQL, and data engineering.

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

Data Intellect in the UK is expanding its Click House practice and seeks experienced Consultants / Data Engineers to shape scalable data platforms for global financial clients.

You will design, implement, and optimize data pipelines using Python and SQL, install Click House across client environments, and collaborate closely with client teams to deliver robust analytics and cloud-native architectures while advancing Data Intellect's market-leading capabilities.

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ClickHouse Data Engineer β€” Scale High-Performance Finance Pipelines employer: Doist

Brink's is an exceptional employer that fosters a collaborative and innovative work culture, empowering employees to drive global commercial strategies in the ATM lifecycle solutions sector. With a strong focus on professional development and growth opportunities, employees are encouraged to expand their skills while contributing to sustainable growth and operational excellence. Located in a dynamic environment, Brink's offers unique advantages such as a diverse team and the chance to build long-term partnerships with global customers, making it a rewarding place to advance your career.

Doist

Contact Details:

Doist Recruitment Team

We think you need these skills to ace ClickHouse Data Engineer β€” Scale High-Performance Finance Pipelines

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