--- title: 'Team Lead, Data Engineering at DataSnipper' canonical: 'https://feeny.ai/job/team-lead-data-engineering-datasnipper-amsterdam-shvzmzhdrykg' type: 'job' last_seen: '2026-10-18' --- # Team Lead, Data Engineering at DataSnipper - **Company:** DataSnipper - **Location:** Amsterdam, Netherlands - **Employment:** full-time - **Work type:** hybrid - **Posted:** 2026-10-14 - **Last confirmed live:** 2026-10-18 - **Apply:** https://jobs.ashbyhq.com/datasnipper/620f3ac0-99b1-46c8-9aad-1ac6161671db ## Job description We are looking for a Data Engineering Team Lead to lead the Data Platform team at DataSnipper. Every decision DataSnipper makes about its products runs through the data platform: which features land, which customers are getting value, what we bill for, what we fix next, and which AI capabilities add the most value. You will lead a team of two data engineers who own the systems that make that possible. That means how usage events get captured across a growing set of products, how they become trustworthy models in Snowflake, and how Customer Success, Product and GTM get to answers without waiting on us. This is a player-coach role in a small, high-ownership team. You are responsible for the people, the roadmap and the technical direction, and you stay hands-on enough to ship alongside the team and make architectural calls credibly. At DataSnipper, Team Lead is our entry point into engineering management: the same people, delivery and product responsibilities as an Engineering Manager, on a smaller team. We are a handful of people serving the whole company, so your judgment about what not to build matters as much as what the team ships. ## 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 the lookout for innovators who think outside of the box. New ideas aren’t just welcomed at DataSnipper–they’re essential. What your team owns The Data Platform team works across three areas: - Data Platform: reliable, scalable infrastructure that gets the right data to the right place - Internal Analytics: a self-service platform so every team can be data-informed without a ticket - Customer-facing Analytics: the dashboards and exports customers use to see the value they get from DataSnipper Concretely, you would be walking into billions of usage events flowing from our Excel Add-in, web apps and product backends through Azure Event Hubs into Snowflake; a dbt estate built on medallion principles and managed in dbt Cloud; Terraform-managed Snowflake and Azure infrastructure; and a set of product teams shipping AI agents faster than we can instrument them. You will also find real, named open problems rather than a tidy platform: event 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 Lead the team - Lead a team of two data engineers through outcomes, not tasks: set clear goals with the team and trust them to figure out how - Make the team measurably better: raise the engineering bar, grow each engineer into bigger problems, and address performance issues directly when they arise - Run regular 1:1s, give clear and timely feedback, and own each engineer's goals and development - Foster a culture of experimentation, learning, documentation and operational excellence - Take part in hiring and help shape the team's scope as it evolves Own direction and delivery - Partner closely with Product, Engineering, Customer Success and GTM to shape the team's roadmap, turning vague data requests into scoped, well-defined work - Make the trade-offs a small team serving the whole company needs: what to build, what to defer, and when a request shouldn't become a pipeline - Set the technical direction and make the architectural calls that shape the team's systems - Keep Snowflake performance and cost, tech debt, dependencies and compliance obligations (audit logging, vulnerability remediation, Vanta evidence) visible and under control - Be the person other engineering teams come to when they need to instrument something new Stay hands-on in the data platform - Contribute to the event ingestion architecture end to end: Azure Event Hubs, Snowpipe, Fivetran, and our shared Python/TypeScript event client libraries - Build and review 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 - Evolve the core data models (event, user, license, company) and integrate new sources such as product backends, MongoDB, HubSpot and billing - Guide reverse ETL and activation work that pushes modeled data back into HubSpot, MongoDB, Postgres and GTM reporting ## What you bring Leadership - At least 1 year leading engineers as a team lead or engineering manager: 1:1s, feedback, goal setting, performance, and development - An empowerment style of leadership: you lead through outcomes and trust, not by assigning tasks - Early evidence of growing engineers and raising a team's bar, and the willingness to address performance issues directly - Strong product aptitude: you can challenge the framing of a request, translate stakeholder needs into technical solutions, and make roadmap trade-offs Data engineering - 7+ 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 - Production experience with a cloud data warehouse (we use Snowflake) and a modern transformation framework (we use dbt) - Experience with event-driven / streaming ingestion and its failure modes: schema drift, duplication, late data, backfills - Experience on a cloud platform at the infrastructure level (we're on Azure; AWS/GCP transfers fine) - Solid data modeling fundamentals and the ability to defend a modeling decision to both engineers and business stakeholders - Experience operating data systems in production with a focus on reliability, observability and maintainability ## How you work - Excellent communication in English and genuine comfort working directly with non-technical stakeholders - Bias to action, a strong sense of ownership, and the judgment to prioritize when demand exceeds capacity ## Preferred qualifications - Experience in a startup or scale-up, ideally as an early member of a data team - Experience hiring engineers or helping a team expand its scope - Experience with product analytics tooling (Mixpanel, RudderStack) and warehouse-native BI (Netspring/Optimizely Analytics, Omni, Embeddable, or similar) - Experience building data products for AI or agent consumption: semantic layers, metrics layers, MCP servers, or governed self-service access - Experience with Terraform, Docker and data governance at scale - Reverse ETL experience and familiarity with CRM data models (HubSpot, Salesforce) or customer success platforms ## What we offer - Being part of one of the fastest-growing scale-ups in the Netherlands - Make an impact by disrupting the audit industry with us - A step into engineering management, with Engineering Manager scope on a small team - 28 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 - System design interview - Product interview - Final interviews with Engineering leadership At DataSnipper, we believe great ideas come from different perspectives, experiences, and backgrounds. We are committed to building an inclusive workplace and providing every candidate with a fair and equitable hiring experience. Our hiring decisions are merit based and grounded in the skills, experience, potential, and capabilities relevant to the role. We welcome applicants regardless of age, race, ethnicity, nationality, gender, gender identity or expression, sexual orientation, religion, disability, or any other characteristic that makes you, you. What matters to us is what you can bring to the role, the team, and DataSnipper ## About DataSnipper ## Company Overview - **One-liner**: DataSnipper provides an AI‑powered agentic platform that automates repetitive verification and testing workflows directly inside Excel for audit and finance teams. - **Entity Type**: Private (Series B, valued at $1 billion as of February 2024) - **Headquarters**: Amsterdam, Netherlands (with offices in New York and Kuala Lumpur) - **Founded**: 2017 - **Founders**: Maarten Alblas, Jonas Ruyter, Kai Bakker ## Core Business - **Primary industry**: Financial audit & accounting technology; intelligent automation and AI for enterprise compliance - **Target customers**: B2B – audit and finance teams at top accounting firms and Fortune 500 companies - **Mission**: “Disrupt the audit and finance industry” by eliminating manual, repetitive tasks and empowering professionals to focus on high‑judgment work. ## Products & Services - **DataSnipper Agentic Platform**: An AI‑driven platform that uses agents to run end‑to‑end workflows (e.g., royalty calculations, revenue testing, test of details). Agents handle the repetitive work while reviewers approve outputs. - **AI Suite**: Analyzes and surfaces insights from unstructured documents using natural‑language queries. - **Cloud Collaboration Suite**: Real‑time collaboration for distributed teams, integrated directly with Excel. - **Invoice / Receipt / Contract Extraction**: Automated data extraction from invoices, receipts, and contracts using OCR and AI. - **WebSnip**: Extracts and validates data from webpages into Excel (text snip, table snip). - **Excel Agents**: Automates analysis and testing directly inside Excel (announced recently). ## Market Standing - **Valuation**: $1 billion (unicorn status as of Feb 2024) - **Total Funding**: €92 million Series B (≈$100 million) raised in Feb 2024 - **Notable Investors**: monashees, Index Ventures (and 3+ investors per Crunchbase) - **Growth Signals**: - Trusted by all top 100 accounting firms and Fortune 500 companies they serve. - 85% time saved in high‑volume testing scenarios (FGMK case study). - 90% faster document reviews (Kushner LaGraize case study). - 10 000 data points validated across source documents (Walker & Associates case study). - Team of 200+ professionals from 40+ nationalities, with offices in Amsterdam, New York, and Kuala Lumpur. ## Competitive Advantages - Deep integration with Excel – the tool that audit professionals already use daily. - “Agentic” platform that closes the verification gap by automating end‑to‑end workflows while keeping humans in the loop. - SOC 2 compliant, strict vendor management, no training on customer data, and encryption – meeting the highest security standards. - Strong network effects: already adopted by all top accounting firms and Fortune 500 companies, creating a switching cost. ## Strategic Focus - Expand the “Agentic Platform” to handle more complex audit and finance workflows (internal audit, tax, financial control, government audit, advisory). - Continue innovating with AI agents that “do the leg work” so teams can scale without adding headcount. - Grow the engineering and product teams to accelerate product development. ## Why Work Here - **Culture**: EMPWR values – Exceed Customer Expectations, Master Ownership, Power in Partnership, Welcome the Unknown, Results at Speed. Emphasis on collaboration, ownership, and customer‑centricity. - **Work environment**: Modern offices with waterside views (Amsterdam), healthy lunches, ping‑pong, pool table, cozy fireplace and bar. 50% of employees come by bike; 70% join Friday drinks. - **Perks**: 28 vacation days (full‑time), competitive salaries, solid pension, stock participation plan. Regular social activities. - **Growth**: “One of the fastest‑growing scale‑ups in the Netherlands” – opportunities for rapid career advancement and skill development. - **Diversity**: 40+ nationalities, inclusive and international atmosphere. - **Sustainability**: Committed to 1% for the Planet and actively works to make a positive environmental impact. - **Work policy**: Multiple offices; hybrid likely, but not explicitly stated. Open positions span Engineering, Product, Marketing, Customer Success, etc. ## Sources 1. [careers.datasnipper.com](https://careers.datasnipper.com/) 2. [datasnipper.com](https://www.datasnipper.com/) 3. [careers.datasnipper.com/culture](https://careers.datasnipper.com/culture) 4. [crunchbase.com](https://www.crunchbase.com/organization/datasnipper) 5. [jobs.ashbyhq.com/datasnipper](https://jobs.ashbyhq.com/datasnipper.com?urlHash=sVU8) ## Other roles at DataSnipper - [Senior Customer Success Manager (Former Auditor) - Dutch Speaking](https://feeny.ai/job/senior-customer-success-manager-former-auditor-dutch-speaking-datasnipper-m5sy19w7dcs9) — Amsterdam, Netherlands - [Senior Product Manager - Billing & Monetization](https://feeny.ai/job/senior-product-manager-billing-monetization-datasnipper-new-york-9dv05pddcxe7) — New York, NY - [Engineering Manager, Billing & Monetization](https://feeny.ai/job/engineering-manager-billing-monetization-datasnipper-new-york-x9p3rtsdt3r4) — New York, NY - [Software Engineer, Billing & Monetization](https://feeny.ai/job/software-engineer-billing-monetization-datasnipper-new-york-2fbcft203m5h) — New York, NY - [Account Executive](https://feeny.ai/job/account-executive-datasnipper-new-york-r7sspagvad08) — New York, NY - [Information Security Officer](https://feeny.ai/job/information-security-officer-datasnipper-amsterdam-bkxv57bnfvx5) — Amsterdam, Netherlands - [Senior Product Manager, Identity and Access Management](https://feeny.ai/job/senior-product-manager-identity-and-access-management-datasnipper-amsterdam-74xwec2qp40f) — Amsterdam, Netherlands - [GTM Engineer](https://feeny.ai/job/gtm-engineer-datasnipper-amsterdam-rpbaqqdprx98) — Amsterdam, Netherlands - [Senior Manager - Revenue Operations](https://feeny.ai/job/senior-manager-revenue-operations-datasnipper-amsterdam-2kz7sxw44jcv) — Amsterdam, Netherlands - [Revenue Operations Manager](https://feeny.ai/job/revenue-operations-manager-datasnipper-amsterdam-bgxccww6pw4f) — Amsterdam, Netherlands