n8n

1 day ago

Senior Data Engineer

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI

Last checked: 1 hour agoStatus: Live

Job Summary

Build and scale reliable data infrastructure that powers analytics, AI-driven decision-making, and growth. Own end-to-end data pipelines and transformation workflows with dbt on BigQuery, developing ELT models for analytics, AI, and marketing. Orchestrate and monitor workflows using Dagster, partner with analysts and data scientists to deliver well-modeled datasets in Hex, and implement reverse ETL for marketing attribution and activation while setting data platform standards.

Location: Germany, Romania, Norway, Estonia, Latvia, Slovenia, Netherlands, Hungary, Kosovo, Portugal, Poland, Serbia, Austria, Montenegro, London, United Kingdom, Albania, Lithuania, Slovakia, Ireland, Bulgaria, Denmark, Czech Republic, Croatia, Spain, Greece, Ukraine

Workplace: Remote

Employment Type: Full time

Job Function: Solutions Engineering & Sales Engineering

Seniority: Mid level

Key Responsibilities

•Design, build, and own end-to-end data pipelines and transformation workflows using dbt on BigQuery.
•Develop scalable ELT models for analytics, AI, marketing, and operational use cases while improving existing pipelines’ reliability, maintainability, and performance.
•Orchestrate and schedule data workflows with Dagster, including testing, monitoring, alerting, and recovery processes.
•Deliver trusted, well-modeled self-serve datasets in Hex and integrate/operationalize AI and LLM-driven workflows.
•Build marketing attribution models and reverse ETL workflows, and establish standards for data quality, testing, documentation, observability, and deployment.

Pay and Benefits

Perks:EquityHealth InsuranceDentalVision401kRemote WorkLearning Budget

Key Requirements

•Strong SQL skills with hands-on experience building production-grade data pipelines.
•Production experience designing, maintaining, and optimizing workflows using dbt and BigQuery.
•Experience orchestrating reliable production workflows with Dagster (or comparable tools like Airflow or Prefect).
•Comfort using Python to build pipelines, automate processes, and develop data engineering tools.
•Understanding dimensional modeling and ELT patterns to design datasets for reliability, usability, and scale.

Skills:OwnershipCollaborationAttention to reliabilityProcess improvement

Languages:English

Tech Stack:SQLDbtBigQueryELTDagsterAirflowPrefectPythonGitCI/CDHexLLMsGoogle AdsMetaReverse ETLGoogle Ads APIMeta APIPub/SubKafkaDataflow

Eligibility

Work Authorization:Authorization required. Sponsorship not provided.

Company Brief

n8n

n8n provides a fair‑code workflow automation and orchestration platform that lets technical teams connect apps, build complex automations and integrate AI/LLMs via a visual, node‑based interface; available self‑hosted or cloud‑hosted.

Industry: Developer Tools

Company Size: Medium (51 to 250 employees)

Revenue: USD 25M to 50M

Growth: Growth Stage Startup

Valuation: USD 250M to 500M

Funding: Series B

Headquarters: Berlin, Germany

Founded: 2019

Glassdoor: 4.4

Website LinkedIn Glassdoor

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