Data Engineer

Join a data infrastructure and analytics team building a platform that turns information from multiple sources into reliable, current company intelligence. You will own the platform across architecture, ingestion, and production operations, supporting products with trusted data.

• Design a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
• Build ingestion from provider APIs, webhooks, files, and web scraping, with rate limits and robust failure handling.
• Orchestrate scheduled workflows and historical backfills using Airflow, Dagster, Prefect, or similar tools.
• Develop event-driven processing with messaging or task queues, including retries, dead-letter handling, and controlled replay.
• Preserve source payloads in Google Cloud Storage and transform them with dbt into raw, standardized, and curated layers.
• Implement idempotent upserts and safe retries to prevent duplicate records and data corruption.
• Define data contracts, validation, pipeline tests, and monitoring for freshness and failures.
• Optimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction.

• At least 5 years building and operating production data platforms that integrate multiple sources, with ownership from architecture through deployment and ongoing operations.
• Production experience with workflow orchestration, including dependencies, retries, and recovery; Airflow is preferred.
• 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, messaging or task queues, data contracts, raw and curated storage, retention policies, automated testing, and pipeline monitoring.
• Experience building platforms or substantial pipelines from scratch is valuable. Web scraping, entity resolution, BigQuery, Dataform, and LLM-based extraction are also relevant.

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

Location

Remote within Europe, including Norway, Switzerland, and the United Kingdom.