Clera
United Kingdom
Senior Data Engineer (Data Platform)
- Cloud
- Google Cloud Platform
- Postgresql
- Python
AI Summary
Build and maintain a multi-source data platform for concurrent ingestion, event-driven processing, and orchestrated batch workflows. Design PostgreSQL schemas, implement data contracts, and ensure data quality with monitoring. Requires 5+ years of production data platform ownership with Python, SQL, and cloud infrastructure expertise.
Key Highlights
Own end-to-end data platform for ingestion, processing, and orchestration
5+ years of production data platform experience required
Expertise in Google Cloud Platform, dbt, and workflow orchestration tools
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Key Responsibilities
Design and build a multi-source data platform for ingestion, event-driven processing, and orchestration
Ingest data from APIs, webhooks, files, and web scraping with failure handling
Orchestrate workflows using Airflow, Dagster, or Prefect
Implement data contracts, automated validation, and monitoring for data quality
Optimize PostgreSQL schemas and integrate LLM-based structured extraction
Technical Skills Required
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Nice to Have
Web scraping experience
Entity resolution expertise
Data enrichment experience
Job Description
About the Role
Join a data and infrastructure 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, helping provide 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 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.
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