Senior Data Engineer

About the Role

Join a data engineering team building a platform that turns information from many sources into reliable, up-to-date company intelligence. You will own the platform end to end, from architecture and ingestion through production operations, supporting products with trusted data.

What You'll Do

• 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.

What We're Looking For

• 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

Base salary: $100,000 to $140,000 USD annually. Visa sponsorship is not available.

Location

Fully remote for candidates based in Europe, including the United Kingdom, Iceland, Liechtenstein, Norway, Switzerland, and Ukraine.