Senior Data Engineer

🔥 12 hours ago

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n8n

WebsiteLinkedInAll Job Openings

11 - 50 employees

Founded 2019

☁️ SaaS

🤖 Artificial Intelligence

🏢 Enterprise

SaaS • Artificial Intelligence • Enterprise

n8n is a secure, AI-native workflow automation platform designed for technical teams. It provides limitless integrations and advanced AI features, allowing users to build autonomous, multi-step agents and workflows. With capabilities for IT, security, and sales operations, n8n can save significant time per workflow run and enrich various business processes using AI. It is available for self-hosting or on the cloud and is popular among developers for its open-source model and the ability to code in JavaScript or Python. n8n is enterprise-ready, offering advanced on-prem or cloud automation solutions, and maintaining mission-critical automations.

📋 Description

• Your main goal will be to build and scale the reliable data infrastructure that powers analytics, AI-driven decision-making, and smarter growth across n8n. • You’ll own critical parts of our modern data stack and help turn growing data needs into trusted, scalable systems: • BUILD AND OWN OUR DATA PIPELINES • Design, build, and own end-to-end data pipelines and transformation workflows using dbt on BigQuery. • Develop scalable ELT models that support analytics, AI, marketing, and operational use cases. • Take ownership of existing pipelines while improving their reliability, maintainability, and performance. • SCALE ORCHESTRATION AND RELIABILITY • Orchestrate and schedule data workflows using Dagster, ensuring pipelines are reliable, observable, and easy to operate. • Build robust testing, monitoring, alerting, and recovery processes across the data platform. • Improve pipeline architecture as workloads, data volumes, and business-critical use cases grow. • ENABLE ANALYTICS AND AI USE CASES • Partner with analysts and data scientists to deliver trusted, well-modeled, self-serve datasets in Hex. • Integrate and operationalize AI and LLM-driven workflows within the data platform. • Help internal teams move from ad-hoc data requests to scalable and reusable data products. • POWER MARKETING ATTRIBUTION AND ACTIVATION • Build marketing attribution models that improve visibility into campaign performance and customer conversion. • Develop reverse ETL workflows that send accurate conversion data back to platforms such as Google Ads and Meta. • Integrate external data sources, advertising APIs, and data vendors into reliable production pipelines. • SET DATA PLATFORM STANDARDS • Establish and enforce standards for data quality, testing, documentation, observability, and deployment. • Optimize BigQuery workloads for query performance, scalability, and cost efficiency. • Contribute to data architecture decisions, mentor future hires, and help shape the technical direction of the data engineering function.

🎯 Requirements

• 🔍 Advanced SQL: You have strong SQL skills and hands-on experience building production-grade data pipelines. • 🏗️ dbt and BigQuery: You have production experience designing, maintaining, and optimizing data workflows using dbt and BigQuery. • 🔄 Data orchestration: You have used Dagster or a comparable tool such as Airflow or Prefect to orchestrate reliable production workflows. • 🐍 Python: You are comfortable using Python to build pipelines, automate processes, and develop data engineering tools. • 🧱 Data modeling: You understand dimensional modeling, ELT patterns, and how to design datasets for reliability, usability, and scale. • 🚀 Git and CI/CD: You have experience applying version control, automated testing, and deployment practices to data workflows. • 🤖 AI mindset: You are comfortable working in an AI-driven environment and are interested in applying LLMs to real data problems. • 📊 Analytics tooling: You have experience with Hex or a similar notebook or BI tool such as Looker, Mode, or Tableau. • 🧠 AI-powered data applications: You have integrated LLM APIs or built data products and workflows powered by AI. • ⚙️ Advanced Dagster: You have hands-on experience with Dagster assets, sensors, partitions, and production deployment patterns. • ⚡ Real-time data: You have worked with streaming technologies such as Pub/Sub, Kafka, or Dataflow. • 🛡️ Data governance: You have experience implementing governance, access controls, lineage, or warehouse cost-management practices. • 📈 Marketing data: You have built attribution models, worked with conversion APIs, or used reverse ETL tools such as Hightouch or Census.

🏖️ Benefits

• Competitive compensation 💸 – We offer fair and attractive pay. • Ownership 💪 – Our core value is to “empower others,” and we mean it—you’ll get a slice of n8n with equity. • Work/life balance 🏖️ – We work hard but ensure you have time to recharge: • Europe: 30 days of vacation, plus public holidays wherever you are. • US: 20 vacation days, 8 sick days, plus public holidays wherever you are. • Health & wellness 🩺 – • Europe: We provide benefits according to local country norms.* • US: Multiple low-premium, low-deductible medical plans with coverage for individuals and families—plus a no-cost premium HDHP option with a pre-seeded HSA—along with dental and vision coverage. • Future planning 💰 – • Europe: We provide pension contributions according to local country norms.* • US: 401(k) retirement plan with a 4% employer match. • Financial security 🛡️ – • Europe: We provide benefits according to local country norms.* • US: Company-paid short-term and long-term disability insurance, plus life insurance to support you and your loved ones. • Career growth 📈 – We hire rising stars who grow with us! You’ll get €1K (or equivalent) per year to spend on courses, books, events, or coaching to level up your skills. • A passionate team 🤩 – We love our product, and we prove it with regular hackathons where we see who can build the coolest thing with it! • Remote-first 🌏 – Our team works remotely across Europe, with regular off-sites for team bonding. Some roles, like sales in the US, are hybrid—please check the job description. • Giving back 🤝 – We're big fans of open source, and you'll get $100 per month to support projects you care about. • AI enablement 🤖 – We believe in working smarter—everyone gets an unlimited AI budget to explore and use the best tools to boost productivity and creativity. • Transparency 🙏 – We all know what everyone’s working on, how the company is doing—the whole shebang.