Principal Data Engineer - Hybrid Finance Data Platforms

Principal Data Engineer - Hybrid Finance Data Platforms

Full-Time 45000 - 55000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Design scalable data platforms and tackle complex data challenges using modern cloud tech.
  • Company: Join Cooper Lomaz Recruitment Services, a leader in innovative recruitment solutions.
  • Benefits: Competitive contract pay, hybrid work model, and opportunity to work with cutting-edge technologies.
  • Other info: Initial 6-month contract with potential for growth in a collaborative team.
  • Why this job: Make an impact in finance by solving real-world data problems in a dynamic environment.
  • Qualifications: Experience with finance and banking datasets is essential.

The predicted salary is between 45000 - 55000 £ per year.

Cooper Lomaz Recruitment Services Ltd is seeking a Principal Data Engineer in London’s Farringdon area.

The role focuses on designing scalable data platforms and solving complex data challenges with modern cloud technologies.

The position is a contract (Inside IR35) for initial 6 months, onsite three days per week in a hybrid model, with a compensation of $83,035.

Suitable for candidates with experience in finance and banking datasets.

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Principal Data Engineer - Hybrid Finance Data Platforms employer: Cooper Lomaz Recruitment Services Ltd

Cooper Lomaz Recruitment Services Ltd is an excellent employer, offering a dynamic work culture that prioritises employee development and well-being. With a competitive salary package, including bonuses and generous holiday entitlement, employees can thrive in their roles while enjoying a healthy work-life balance in the vibrant town of Newmarket. The company fosters a supportive environment where skilled professionals can grow their careers in the fast-paced FMCG sector.

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Contact Details:

Cooper Lomaz Recruitment Services Ltd Recruitment Team

We think you need these skills to ace Principal Data Engineer - Hybrid Finance Data Platforms

Problem-Solving Skills
Python
SQL
Communication Skills
Data Engineering
Automation
Attention to Detail