Data Engineer / Analytics Engineer

$$$

About the Company

A growth equity investment firm focused on partnering with software and technology-enabled services businesses to accelerate expansion, support strategic initiatives, and build stronger teams. The firm typically works with management teams in growth-stage companies and helps drive both organic growth and acquisition-led expansion.

 

Role Overview

We are looking for Data Engineer / Analytics Engineer contractors who can embed within portfolio teams to produce reporting cubes and revenue analytics deliverables. Ideal candidates will bring a blend of technical depth, commercial awareness, project management skills, and preferably SaaS domain expertise.

 

What You'll Be Doing

  • Embed within portfolio company data teams as a contractor
  • Build and deliver data pipelines from raw source data to clean, validated output tables
  • Produce reporting cubes and revenue analytics deliverables
  • Reconcile pre- vs. post-migration data to maintain analytical continuity
  • Translate business questions into technical implementations

 

Requirements

  • Hands-on Technical Builder โ€” Proficient in Python and SQL. Able to independently architect and deliver data pipelines from raw source data through to clean, validated output tables.
  • Commercially Oriented โ€” Ideally 2+ years in a consulting, advisory, or deal-support environment (e.g. Big 4, boutique analytics consultancy). Comfortable translating business questions into technical implementations.
  • System & Data Migration Experience โ€” Has worked on ERP, CRM, or billing platform migrations (e.g. Salesforce, NetSuite, Chargebee). Understands data quality pitfalls โ€” duplicate customers, broken historical linkages โ€” and knows how to reconcile pre- vs. post-migration data to maintain analytical continuity.
  • Accounting or SaaS Exposure โ€” Either an accountant by trade or someone with SaaS revenue analytics exposure. Familiar with subscription metrics (ARR, NRR, churn), snowballs, and billings-to-revenue reconciliations.

 

Candidate Requirements

  • Ukrainian native speaker
  • English proficiency: C1 or higher
  • Remote โ€” candidates located anywhere are welcome to apply

Required skills experience

Python 3 years
SQL 3 years

Required domain experience

SaaS 1 year
Fintech 1 year

Required languages

English C1 - Advanced
Ukrainian Native
SQL, ETL, Data Pipelines, dbt, Data Warehousing, Analytics Engineering, Revenue Analytics, PostgreSQL, Data Engineer
Published 9 June
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5 applications
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