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Data Engineer

Job not on LinkedIn

đŸ”„ 3 minutes ago

đŸ‡ȘđŸ‡ș Europe – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

🚰 Data Engineer

Where this job comes from

Posted on Nevis's careers page, not through a job board

First seen by Remote Rocketship 3 minutes ago

Logo of Nevis

Nevis

- employees

đŸ“± Media

đŸ‘„ B2C

Media ‱ B2C

<Nevis> Nevis is a Russian-language adult content website that publishes and aggregates explicit pornographic videos and photo galleries across many categories and fetishes. The site appears to offer free streaming, ad placements, and user account features, targeting adult consumers of online sexual entertainment. The content listed is explicit and diverse, focusing on consumer-facing media rather than products or enterprise services.

📋 Description

‱ Build a reusable Python ingestion framework to accelerate customer integrations and replace the legacy Java ETL ‱ Keep PostgreSQL and Snowflake synchronized through reliable real-time streaming and change data capture pipelines ‱ Use LLMs to map customer schemas and reduce manual integration work ‱ Own data pipelines in production, including deployment, monitoring, data quality, recovery and secure handling of customer data ‱ Improve existing code and design new infrastructure as part of the Data & AI Platform team

🎯 Requirements

‱ 4+ years in data engineering ‱ Experience building Python and SQL pipelines for complex integrations involving unfamiliar sources, inconsistent schemas and incomplete documentation ‱ Hands-on experience with streaming and change data capture, including schema changes, backfills and recovery after failures ‱ Production experience with PostgreSQL, Snowflake, cloud infrastructure, ideally AWS, and Airflow or similar tools ‱ Experience owning deployment, monitoring and troubleshooting ‱ Daily use of AI tools, with concrete examples of integrating them into workflows to automate tasks and improve development ‱ Experience with dbt and DuckDB ‱ Experience managing infrastructure with Terraform ‱ Familiarity with cross-warehouse data sharing or LLM-assisted data integration ‱ Right to work in the location applied for

đŸ–ïž Benefits

‱ 25 days’ annual leave ‱ Private medical insurance ‱ Competitive salary and benefits package ‱ Company equity ‱ Fast-paced, high-growth environment with the opportunity to shape how the business operates ‱ Opportunity to work alongside a high-calibre founding team backed by leading investors ‱ Opportunity to contribute to a mission-driven company transforming the wealth management industry ‱ Opportunity to use LLMs to improve schema mapping and customer onboarding

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