Clera
More roles at CleraSenior Data Engineer
Remote work allowed only within certain countries or regions.
Europe
Employer listed it 7 days ago · Added 4 days ago
First listed 7 days ago and still open.
Salary
$100k to $140k per year
Location
Europe
Work style
Async
Contract
Full-time
Experience
Senior
Category
Data
Stated by the employer in the job description
What the advert says
Quoted word for word from the employer's advert. Where it says nothing, we say so.
- Working hours
Strong Python skills, including asynchronous HTTP and concurrent processing with tools such as asyncio, aiohttp, or HTTPX.
- Where you can work from
Remote within Europe, including Norway, Switzerland, and the United Kingdom.
- Contract
- Not mentioned in the advert
- Experience asked for
- Not mentioned in the advert
- Pay
Compensation & Benefits
Remote flexibility
Region Restricted
Remote work is allowed, but only for candidates based in Europe.
What the employer says
- Source listing states candidate location: "remote"
- Job description states: "Remote within Europe"
What Nomaders makes of it
- Timezone overlap with the listed area is often expected
The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.
Before you apply
Experience: employer states
Written as a requirement
- “At least 5 years building and operating production data platforms that integrate multiple sources, with ownership from architecture through deployment and ongoing operations.”
Written as a nice-to-have
- “Production experience with workflow orchestration, including dependencies, retries, and recovery; Airflow is preferred.”
Questions worth asking: Nomaders interpretation
- The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.
Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.
About the role
About the Role
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.
What You'll Do
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.
What We're Looking For
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.
Compensation & Benefits
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.
Requirements
The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.
Benefits
- ·Base salary: $100,000 to $140,000 USD annually. Visa sponsorship is not available.
- ·Remote within Europe, including Norway, Switzerland, and the United Kingdom.
How to apply
- 1Check the flexibility label above, region restricted, matches where you plan to live and work.
- 2Tailor your CV to the role at Clera, mentioning your remote working experience and working hours (Async).
- 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.
Found 5d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.
Listing sourced from Company boards.
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