{"id":2543589,"url":"https://alion.io/job/datasnipper-team-lead-data-engineering","title":"Team Lead, Data Engineering","company":{"id":4724,"name":"DataSnipper","domain":"datasnipper.com","url":"https://alion.io/company/datasnipper","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Ashby","truth_index":null},"role":"Leadership","role_family":"Leadership","seniority":"lead","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Amsterdam, Netherlands"],"countries":["NL"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":93000,"max_usd":176000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":24},"experience_years_min":7,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"AWS","optional":false},{"name":"Azure","optional":false},{"name":"dbt","optional":false},{"name":"ETL/ELT","optional":false},{"name":"Fivetran","optional":false},{"name":"GCP","optional":false},{"name":"PostgreSQL","optional":false},{"name":"Python","optional":false},{"name":"Snowflake","optional":false},{"name":"SQL","optional":false},{"name":"Terraform","optional":false},{"name":"TypeScript","optional":false},{"name":"Docker","optional":true},{"name":"Model Context Protocol","optional":true}],"status":"live","first_seen_at":"2026-10-14T12:53:16Z","employer_posted_date":"2026-10-14","last_verified_at":"2026-10-16T05:16:16Z","board_verified":true,"closed_at":null,"days_open":1,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":1},"description":"We are looking for a Data Engineering Team Lead to lead the Data Platform team at DataSnipper.\nEvery 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.\nThis 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.\nWe 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.\nAbout DataSnipper\nDataSnipper is the driving force behind an intelligent automation platform that’s transforming the world of audit and finance.\nFounded 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.\nWhat your team owns\nThe Data Platform team works across three areas:\nData Platform: reliable, scalable infrastructure that gets the right data to the right place\n\nInternal Analytics: a self-service platform so every team can be data-informed without a ticket\n\nCustomer-facing Analytics: the dashboards and exports customers use to see the value they get from DataSnipper\n\nConcretely, 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.\nYou 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.\nWhat you will do\nLead the team\nLead a team of two data engineers through outcomes, not tasks: set clear goals with the team and trust them to figure out how\n\nMake the team measurably better: raise the engineering bar, grow each engineer into bigger problems, and address performance issues directly when they arise\n\nRun regular 1:1s, give clear and timely feedback, and own each engineer's goals and development\n\nFoster a culture of experimentation, learning, documentation and operational excellence\n\nTake part in hiring and help shape the team's scope as it evolves\n\nOwn direction and delivery\nPartner closely with Product, Engineering, Customer Success and GTM to shape the team's roadmap, turning vague data requests into scoped, well-defined work\n\nMake 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\n\nSet the technical direction and make the architectural calls that shape the team's systems\n\nKeep Snowflake performance and cost, tech debt, dependencies and compliance obligations (audit logging, vulnerability remediation, Vanta evidence) visible and under control\n\nBe the person other engineering teams come to when they need to instrument something new\n\nStay hands-on in the data platform\nContribute to the event ingestion architecture end to end: Azure Event Hubs, Snowpipe, Fivetran, and our shared Python/TypeScript event client libraries\n\nBuild and review dbt transformation pipelines that stay reliable as volume, source count and model complexity grow\n\nDefine and enforce event contracts and schemas so product teams can instrument new features without silent breakage downstream\n\nEvolve the core data models (event, user, license, company) and integrate new sources such as product backends, MongoDB, HubSpot and billing\n\nGuide reverse ETL and activation work that pushes modeled data back into HubSpot, MongoDB, Postgres and GTM reporting\n\nWhat you bring\nLeadership\nAt least 1 year leading engineers as a team lead or engineering manager: 1:1s, feedback, goal setting, performance, and development\n\nAn empowerment style of leadership: you lead through outcomes and trust, not by assigning tasks\n\nEarly evidence of growing engineers and raising a team's bar, and the willingness to address performance issues directly\n\nStrong product aptitude: you can challenge the framing of a request, translate stakeholder needs into technical solutions, and make roadmap trade-offs\n\nData engineering\n7+ years in data engineering or a closely related backend/platform role, with a track record of owning a data platform area end to end\n\nDeep SQL and strong Python, including query optimization and performance tuning on a cloud warehouse\n\nProduction experience with a cloud data warehouse (we use Snowflake) and a modern transformation framework (we use dbt)\n\nExperience with event-driven / streaming ingestion and its failure modes: schema drift, duplication, late data, backfills\n\nExperience on a cloud platform at the infrastructure level (we're on Azure; AWS/GCP transfers fine)\n\nSolid data modeling fundamentals and the ability to defend a modeling decision to both engineers and business stakeholders\n\nExperience operating data systems in production with a focus on reliability, observability and maintainability\n\nHow you work\nExcellent communication in English and genuine comfort working directly with non-technical stakeholders\n\nBias to action, a strong sense of ownership, and the judgment to prioritize when demand exceeds capacity\n\nPreferred qualifications\nExperience in a startup or scale-up, ideally as an early member of a data team\n\nExperience hiring engineers or helping a team expand its scope\n\nExperience with product analytics tooling (Mixpanel, RudderStack) and warehouse-native BI (Netspring/Optimizely Analytics, Omni, Embeddable, or similar)\n\nExperience building data products for AI or agent consumption: semantic layers, metrics layers, MCP servers, or governed self-service access\n\nExperience with Terraform, Docker and data governance at scale\n\nReverse ETL experience and familiarity with CRM data models (HubSpot, Salesforce) or customer success platforms\n\nWhat we offer\nBeing part of one of the fastest-growing scale-ups in the Netherlands\n\nMake an impact by disrupting the audit industry with us\n\nA step into engineering management, with Engineering Manager scope on a small team\n\n28 vacation days\n\nExcellent salary\n\nPension plan\n\nStock participation plan\n\nHybrid work (Amsterdam-based)\n\nInternational team and environment\n\nDaily lunch\n\nMental health support (OpenUp)\n\nSocial events and team activities\n\nRecruitment steps\nRecruiter screen\n\nHiring Manager interview\n\nSystem design interview\n\nProduct interview\n\nFinal interviews with Engineering leadership\n\nAt 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.\nOur hiring decisions are merit based and grounded in the skills, experience, potential, and capabilities relevant to the role.\nWe 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.\nWhat matters to us is what you can bring to the role, the team, and DataSnipper","description_format":"text","description_chars":8229,"description_truncated":false,"requirements":{"experience_years_min":7,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":null,"security_clearance":false,"languages":[{"language":"English","level":"Upper-Intermediate (B2)","optional":false}]},"benefits":["Hybrid work"],"hiring_locations":[{"name":"Netherlands","iso":"NL","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Document AI","Accounting & Tax Software"],"lifecycle":[{"event":"open","at":"2026-10-14T16:17:13Z"}],"visa":[],"liveness":{"score":90,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.903,"p_room":1,"age_days":1,"expected_fill_days":47,"reasons":["conf:0","velocity","win:early"],"computed_at":"2026-10-16T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/datasnipper-team-lead-data-engineering","json_url":"https://alion.io/job/datasnipper-team-lead-data-engineering.json","meta":{"generated_at":"2026-10-16T10:00:41Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8324,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-17T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":4724},"rest":"https://alion.io/mcp/rest/get_company?id=4724"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fdatasnipper-team-lead-data-engineering"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fdatasnipper-team-lead-data-engineering"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fdatasnipper-team-lead-data-engineering"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/datasnipper-team-lead-data-engineering\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fdatasnipper-team-lead-data-engineering"}]}