Resumo da vaga

Senior Data Engineer

Requisitos e responsabilidades

Conteúdo da vaga extraído em seções para revisão mais rápida.

Details

  • Cultivated a community of more than 650,000 active developers and builders
  • Earned 190K+ GitHub stars, making us one of the world’s Top 40 most popular projects
  • Backed by top investors, from Sequoia’s first German seed to our SAP's recent strategic investment - bringing us to a $5.2bn valuation
  • Europe: 30 days of vacation, plus public holidays wherever you are.
  • US: 20 vacation days, 8 sick days, plus public holidays wherever you are.
  • 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.
  • Europe: We provide pension contributions according to local country norms.*
  • US: 401(k) retirement plan with a 4% employer match.
  • 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.

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.

Must-haves

  • 🔍 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.

Nice-to-haves

  • 📊 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.
  • 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.
  • 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.
  • 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.
  • 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.
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FocoOperationsÁrea da vaga
Sinal de senioridadeSeniorNível do candidato
StackCI/CD, Python, SQLSkills principais
Localização37 países aceitosElegibilidade

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