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Senior Data EngineerDataSnipper · Amsterdam
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DataSnipper

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Senior Data Engineer

🗓️ Posted 2026-09-09 Amsterdam Fulltime Hybrid ICT
💰 Salary Not shared 📊 Market 5,500 EUR–7,500 EUR/mo

About the Company

We are looking for a Senior Data Engineer to join the Data Platform team at DataSnipper. Every decision DataSnipper makes about its products - which features land, which customers are getting value, what we bill for, what we fix next, which AI capabilities add the most value - runs through the data platform. You will own the systems that make that possible: how usage events get captured across a growing set of products, how they become trustworthy models in Snowflake, and how every other team such as Customer Success, Product, and GTM teams get to the answers without waiting on us. This is a hands-on, high-ownership role in a small team. We are a handful of people serving the whole company, so your judgment about what not to build matters as much as what you ship. You will set the technical direction for ingestion and modeling, and you will be the person other engineering teams come to when they need to instrument something new. ABOUT DATASNIPPER DataSnipper is the driving force behind an intelligent automation platform that's transforming the world of audit and finance. Founded in 2017, DataSnipper has skyrocketed and is now OFFICIALLY the fastest-growing software company in the Netherlands according to Deloitte Fast50 and recently achieved Unicorn status in our latest funding round. With over 400.000 users in 125+ countries and a second base in the heart of New York City, DataSnipper is shaking things up. And we're not stopping there. At DataSnipper, we're always on th

Responsibilities

  • ● capture mid-consolidation, multiple methods of user attribution, and a data quality layer that is designed but not yet built. We would rather tell you that up front.
  • ● WHAT YOU WILL DO
  • ● INGESTION & PIPELINES
  • ● Own the event ingestion architecture end to end - Azure Event Hub, Snowpipe, Fivetran, and our shared Python/TypeScript event client libraries
  • ● Build and operate dbt transformation pipelines that stay reliable as volume, source count, and model complexity grow
  • ● Define and enforce event contracts and schemas so product teams can instrument new features without silent breakage downstream
  • ● Build reverse ETL and activation paths that push modeled data back into the tools the business works in - HubSpot properties and rollups, MongoDB, Postgres, and GTM reporting
  • ● MODELING & DATA QUALITY
  • ● Evolve the core data models (event, user, license, company) that everything else depends on
  • ● Own Snowflake performance and cost, and keep the platform's tech debt, dependency, and compliance obligations (audit logging, vulnerability remediation, Vanta evidence) from accumulating
  • ● Integrate and model new data sources across the business - product backends, MongoDB, HubSpot, billing, and third-party tools
  • ● ENABLEMENT & AI-READINESS
  • ● Build the guardrails and tooling that let product teams create events, models, and dashboards themselves
  • ● Contribute to the semantic / context layer so metrics have one agreed definition across BI tools, customer-facing dashboards, and LLM and agent consumers
  • ● Support the customer-facing analytics surfaces (in-product dashboards, standard and advanced data exports) with the aggregation and modeling work behind them
  • ● Improve documentation and definitions to the point where analysts, stakeholders, and AI agents can self-serve with confidence
  • ● Partner with Product, Engineering, CS, and GTM to turn vague data requests into scoped, well-defined work - and to push back when a request shouldn't become a pipeline
  • ● WHAT YOU BRING
  • ● + years in data engineering or a closely related backend/platform role, with a track record of owning a data platform area end to end
  • ● Deep SQL and strong Python, including query optimization and performance tuning on a cloud warehouse

Requirements

  • ● Reverse ETL experience and familiarity with CRM data models (HubSpot, Salesforce) or customer success platforms
  • ● Exposure to B2B SaaS usage-based pricing and entitlement data, or to audit/fintech

Benefits

  • ● Being part of one of the fastest-growing scale-ups in the Netherlands
  • ● Make an impact by disrupting the audit industry with us
  • ● vacation days
  • ● Excellent salary
  • ● Pension plan
  • ● Stock participation plan
  • ● Hybrid work (Amsterdam-based)
  • ● International team and environment
  • ● Daily lunch
  • ● Mental health support (OpenUp)
  • ● Social events and team activities
  • ● RECRUITMENT STEPS
  • ● Recruiter screen
  • ● Hiring Manager interview
  • ● Peer programming session
  • ● System design interview
  • ● Final interviews with Engineering leadership