- Work from
- Iceland, Liechtenstein, Norway, Switzerland, Ukraine, United Kingdom
- Contract
- Full-time
- Experience
- Senior
- Salary
- $100K – $140K / year
- Posted
- 14 November 2026
- Apply by
- 13 January 2027
You will own the platform end to end, from architecture and ingestion through production operations, supporting products with trusted data.
About the role
Join a data engineering team building a platform that turns information from many sources into reliable, up-to-date company intelligence.
Responsibilities
- Design a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
- Build resilient intake from provider APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.
- Orchestrate scheduled workflows and historical backfills using tools such as Airflow, Dagster, or Prefect.
- Develop event-driven processing with messaging or task queues, including retries, dead-letter queues, and controlled replay.
- Preserve source payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated data layers.
- Implement idempotent upserts, data contracts, automated validation, pipeline tests, and monitoring for freshness and failures.
- Design and optimize PostgreSQL schemas and loading patterns for reliable downstream use.
- Integrate data enrichment and LLM-based structured extraction into the platform.
Requirements
- At least 5 years building and operating production data platforms that ingest data from multiple sources, with ownership from architecture through ongoing operation.
- Production experience with workflow orchestration, including dependencies, retries, and failure recovery. Airflow is preferred; Dagster, Prefect, Temporal, or comparable tools are relevant.
- Hands-on production experience with dbt and Google Cloud Platform.
- Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.
- Strong SQL and PostgreSQL skills, including data modeling, query optimization, and incremental loading.
- Experience with event-driven systems, queues, data contracts, raw and curated storage, retention, testing, and monitoring.
- Experience building a platform or substantial pipelines from scratch is valued. Web scraping, entity resolution, enrichment, LLM-based extraction, and startup or small-team experience are also useful.
Compensation & Benefits
Eligibility
- Visa sponsorship is not available.
Salary
Base salary
$100,000 to $140,000 USD annually.
Compensation Range: $100K - $140K
Location
Fully remote for candidates based in Europe, including the United Kingdom, Iceland, Liechtenstein, Norway, Switzerland, and Ukraine.
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Discussion
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