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Data Analytics Engineer

JR United Kingdom

London

Hybrid

GBP 50,000 - 80,000

Full time

Today
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Job summary

Join a pioneering fintech that is transforming private markets through data innovation. As a Data Analytics Engineer, you will take ownership of the transformation layer, delivering trusted datasets that enhance decision-making for top-tier investors. This role offers the opportunity to work in a fast-paced, high-growth environment where you will build scalable dbt models, ensure data quality, and collaborate with stakeholders to define KPIs. If you are passionate about data and eager to drive impactful changes, this is the perfect opportunity for you.

Benefits

Competitive salary
Discretionary bonus
Pension
Long-term incentive opportunities
Strong ownership and autonomy

Qualifications

  • 2-4 years of experience in analytics engineering or data engineering.
  • Expert-level SQL skills focused on performance and scalability.

Responsibilities

  • Build and maintain scalable, modular dbt models on Databricks and PostgreSQL.
  • Ensure high-quality, production-ready datasets through strong testing practices.

Skills

SQL
dbt (Core)
Python
Databricks
Git + CI/CD

Job description

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Data Analytics Engineer | London (Hybrid) | Private Equity Data SaaS

About the Opportunity

Join a pioneering fintech that's transforming private markets through data innovation. We're looking for a Data Analytics Engineer to own the transformation layer, deliver trusted datasets, and drive better decision-making for top-tier investors.

Key Responsibilities

  • Build and maintain scalable, modular dbt models on Databricks and PostgreSQL
  • Ensure high-quality, production-ready datasets through strong testing and observability practices
  • Partner with stakeholders to define KPIs and develop reliable, actionable metrics
  • Troubleshoot, monitor, and quickly resolve data inconsistencies or model failures
  • Contribute to CI/CD pipelines and drive best practices across data governance and documentation
  • SQL
  • dbt (Core)
  • Python
  • Databricks
  • Git + CI/CD

What We’re Looking For

  • 2–4 years of experience in analytics engineering, data engineering, or a similar data-focused role
  • Expert-level SQL skills with a focus on performance and scalability
  • Hands-on experience using dbt in production environments
  • Experience working with Databricks and/or PostgreSQL
  • Strong understanding of data testing, observability, and quality assurance
  • Familiarity with Git workflows and modern development practices
  • Clear communicator with a collaborative approach

Bonus Skills

  • Python scripting
  • Cloud experience (preferably Azure)
  • Knowledge of Private Equity or accounting concepts

What’s on Offer

  • Fast-paced, high-growth start-up environment
  • Strong ownership and autonomy in your role
  • Competitive salary, discretionary bonus, pension, and long-term incentive opportunities
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