Senior Data Engineer
New
C
CleraData infrastructure
Remote within Europe, including the United Kingdom, Norway, Switzerland, Iceland, Liechtenstein, and Ukraine.Full-TimeSenior
Salary100,000 - 140,000 USD per year
Apply NowOpens the employer's application page
Job Details
- Experience
- At least 5 years building and operating production data platforms
- Required Skills
- PostgreSQLPythonSQLGCPAirflowdbt
Requirements
- 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 useful.
Responsibilities
- 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.
View Full Description & ApplyYou'll be redirected to the employer's site
