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Senior Data Engineer

Cognify Search
Department:Data Engineer
Type:REMOTE
Region:UK
Location:United Kingdom
Experience:Mid-Senior level
Estimated Salary:£75,000 - £110,000
Skills:
DBTDATA MODELINGANALYTICS ENGINEERINGDATA ARCHITECTUREEXPERIMENTATION FRAMEWORKSINCREMENTALITY ANALYSISSTAKEHOLDER MANAGEMENTPROJECT OWNERSHIP
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Job Description

Posted on: April 1, 2026

Senior / Lead Analytics Engineer – Contract (x3)

📍 UK Remote (UK-based)

📆 6-month contract

We’re partnered with one of the fastest-growing FinTech companies in Europe, currently expanding their data team following several new product launches.

As a result of this rapid growth, there’s now a significant backlog of data requests across the business. They’re looking for Senior to Lead level Analytics Engineers who can step in quickly, take ownership of the analytics engineering lifecycle, and help drive delivery.

This is a great opportunity to work in a fast-paced product environment, helping shape scalable data models and analytics foundations for new products.

What you’ll be doing

  • Owning the end-to-end Analytics Engineering process
  • Working directly with stakeholders to gather requirements and translate business needs into data solutions
  • Designing scalable data models and analytics architecture
  • Building and maintaining clean, reliable transformation layers using dbt
  • Supporting experimentation and incrementality analysis
  • Delivering high-quality data models that enable product and business teams to move faster

What they’re looking for

  • Senior / Lead Analytics Engineering experience
  • Proven experience owning projects end-to-end – from requirement gathering through to model design and implementation
  • Strong dbt experience (essential)
  • Experience designing scalable data models and analytics architecture
  • Comfortable working directly with product and business stakeholders
  • Experience working in fast-paced product environments
  • Exposure to experimentation frameworks / incrementality analysis

If you’re an experienced Analytics Engineer who enjoys ownership, autonomy, and building scalable data foundations in product-led companies, this could be a great fit.

Originally posted on LinkedIn

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