Senior Data Engineer
- Where
- Remote · remote
- Level
- Senior
- Salary
- $100k–140k
- Technologies
- PythonPostgreSQLSQLGCPEvent-driven
- First sniffed
- 05 Nov 2026 20:15 · open 6h
- Last verified
- 05 Nov 2026 20:15 · still on the employer's site
- Source
- Company careers system
ABOUT THE ROLE
Join a data infrastructure and analytics team building a platform that turns information from multiple sources into reliable, up-to-date company intelligence. You will own the platform end to end, from architecture and ingestion to production operations, enabling trusted data for downstream products.
WHAT YOU'LL DO
- Design and build a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows.
- Ingest data 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.
- Build event-driven systems with messaging or task queues, including retries, dead-letter queues, and controlled replay.
- Preserve original payloads in Google Cloud Storage and transform data with dbt into raw, standardized, and curated layers.
- Implement idempotent upserts, data contracts, validation, pipeline tests, and monitoring for freshness and failures.
- Design and optimize PostgreSQL schemas and loading patterns, and integrate enrichment and LLM-based structured extraction.
WHAT WE'RE LOOKING FOR
- At least 5 years building and operating production data platforms, integrating multiple sources from architecture through deployment and ongoing operations.
- Production experience with workflow orchestration, including dependencies, retries, and failure recovery; Airflow experience is preferred.
- Hands-on production experience with dbt and Google Cloud Platform.
- Strong Python skills, including asynchronous HTTP and concurrent processing with 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, and asynchronous failure recovery.
- Experience with data contracts, raw and curated storage, retention policies, automated validation, pipeline testing, and monitoring.
- Experience building platforms or substantial pipelines from scratch is valuable. Web scraping, entity resolution, LLM-based extraction, BigQuery, and Dataform experience are also useful.
COMPENSATION & BENEFITS
Base salary: $100,000 to $140,000 USD annually. Visa sponsorship is not available.
LOCATION
Remote within Europe, including the United Kingdom, Norway, Switzerland, Iceland, Liechtenstein, and Ukraine.