26 remote data engineer roles open to candidates in the Netherlands, all at fully remote, VC-backed startups from seed to series C. Matcha reads every job description daily and sends you one zero noise email with only the roles that really fit. No scrolling, no noise.
10k+ under the radar remote startups · 1 zero noise email
Describe your next role, cut the noise
26 open roles · 4 new this week · 80% not on LinkedIn · $178K avg pay
Scales engineering capacity with a digital workforce mimicking top engineers.
Team of 115Series A · $18.1MBacked by Spark Capital, BMW i Ventures, Cherry Ventures
Own the company data warehouse and ingestion landscape end-to-end as the foundation for an internal AI superagent; scope spans GTM, product telemetry, engineering, support, finance, documents/wiki/tickets/transcripts, plus agent-facing interfaces and connectors; build ETL/data pipelines, data models, sync jobs, reporting and forecasting used by leadership, and retrieval layers for non-tabular data; must have strong SQL, ETL/pipeline and data modeling experience, system integrations across APIs/webhooks/auth/rate limits/schema changes, and hands-on experience building data layers for LLM applications including retrieval, embeddings, vector search, context design, and MCP/tool interfaces; English required, German a plus; reports into Business Operations; explicit 3/6/12-month ownership and impact milestones
Remote in Germany only; must have residency in Germany
L1 Data Engineer - Remote at DeepSource Technologies
DeepSource connects businesses with multilingual IT and AI talent.
Team of 22$7.725MBacked by 645 Ventures, Y Combinator Continuity Fund, Y Combinator
Design, build, and maintain scalable data architecture, pipelines, and ETL/ELT workflows for BI and analytics; hands-on data ingestion with Azure Data Factory and Databricks; process large datasets with Python, Pandas, and PySpark; write and optimize SQL; collaborate with data architects and senior engineers on data models; monitor and fix pipeline and data quality issues; 3+ years in data engineering or related role; must have Databricks, Azure Data Factory, Azure Synapse, SQL, data lake/Delta Lake knowledge, and cloud data governance/security understanding; nice to have SQL Server migration, Terraform, CI/CD for data workflows, Delta Sharing/Lakehouse Federation; expected to hold or be actively working toward Databricks Certified Data Engineer Associate certification
Remote Ukraine only
+24 more data engineer roles in the Netherlands
Tell us what you want. Get them in your inbox — no scrolling, no noise.
Describe your next role, cut the noise
About Matcha
Matcha is a zero-noise alternative to job boards for remote startup jobs. Instead of scrolling through hundreds of irrelevant postings, you describe your next role once and Matcha reads every job description daily to surface only the roles that actually fit. Matches arrive in a single email, as soon as a relevant role is posted. No UI to check, no notifications, no noise. Because Matcha reads full job descriptions in plain language, there is no limit to what you can filter by: not just the usual dropdowns, but anything you can put into words.
Matcha surfaces fully remote jobs at startups from seed to series A, series B, etc. typically backed by top-tier VCs like a16z, Index Ventures, Y Combinator, Google Ventures, Sequoia, Accel, Khosla Ventures, etc. Roles span software engineering, design, marketing, sales, and more. Open to candidates in Europe, the US, Canada, the UK, Brazil, Latam, APAC, and worldwide.
Frequently asked questions
Job boards make you scroll through hundreds of irrelevant posts. Matcha flips this: you describe your ideal role once (title, tech stack, team size, dealbreakers) and Matcha reads every job description daily to surface the handful that actually fit, and sends you one zero noise email. No UI to check, no noise, just a single email when something real shows up. Unlike job boards with their fixed filter sets, Matcha uses plain-language descriptions to match against full job descriptions, so you can filter by anything, something no dropdown could ever capture.
You describe what you're looking for in plain language: role, tech stack, team size, things you don't want. Every day, Matcha scans thousands of new remote startup job postings and compares each description against your preferences. Roles that match land in your inbox in a single, zero-noise email within hours of being posted.
Roles are added as soon as they are posted. About 80% of them never appear on LinkedIn.
Yes, all public jobs are covered: workatastartup (YC jobs), Ashby, Greenhouse, and more. Matcha also tracks under-the-radar startups individually, including roles that are not listed anywhere else.
Matcha was built by Fico, a Canadian repeat founder who has spent over a decade building and working at fully distributed startups. He was on the founding team of Roger.ai, a fully distributed startup he helped grow from zero to $5 billion in transaction volume and millions in ARR before it was acquired by NYSE:CPAY, where he served as VP of Engineering for four years, fully remote. Fico has a deep network of remote-first founders and understands this space firsthand.
While looking for a new startup to join, Fico found the experience exhausting: noisy job boards, limited filters, and no way to specify what actually mattered to him. Nothing let him filter the way he wanted. So he built it for himself, shared it with friends, and after seeing how much they loved it, opened it up. The goal: stay open to the right opportunity without the daily grind of checking boards or wading through noise. It takes two minutes over coffee instead of hours.
Loved by 4995 remote talent
Engineers, PMs, designers, and marketers across 40+ countries use Matcha to cut through the noise of job search and not miss the right opportunity when it's posted.
