Senior Data Engineer (Remote - Europe)

Visa sponsorship is not available. A data engineering team at a growing company is building a platform that gathers information from many sources and turns it into reliable, current business intelligence. The engineer will own the platform end to end, covering architecture, ingestion, and day-to-day production operations, and will ensure downstream products receive trustworthy data.

What you'll do

• Design a multi-source data platform that supports concurrent ingestion, event-driven processing, and orchestrated batch workflows.
• Build resilient intake from provider APIs, webhooks, files, and web scraping, including rate limiting and strong failure handling.
• Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
• Develop event-driven processing with queues or messaging, including retries, dead-letter handling, and controlled replay.
• Store raw source payloads in Google Cloud Storage and build dbt models across raw, standardized, and curated layers.
• Implement idempotent upserts, data contracts, automated validation, pipeline tests, and freshness and failure monitoring.

What you need

• At least 5 years building and operating production data platforms that ingest from multiple sources, owning work from architecture through ongoing operation.
• Production experience with workflow orchestration, including dependencies, retries, and failure recovery (Airflow preferred).
• Hands-on production experience with dbt and Google Cloud Platform.
• Strong Python skills, including asynchronous HTTP and concurrent processing (asyncio, aiohttp, or HTTPX).
• Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.
• Must be based in Europe (including the UK, Iceland, Liechtenstein, Norway, Switzerland, or Ukraine) to be eligible.

Applicants must be based in: United Kingdom, Germany, France, Netherlands, Spain, Portugal, Poland, Ireland, Italy, Belgium.

How to apply

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