Strong Python for data work: API extraction, data cleaning, pipeline scripting
Experience with a cloud data warehouse. Snowflake is preferred; BigQuery, Redshift, Databricks or similar is fine for Mid
Git in everyday work
Comfortable working autonomously with limited onboarding
Good English, as the whole team communicates in English
You use AI coding tools (Copilot, Cursor, Claude Code etc.) and take full ownership of the output
Nice to have
Experience with social media or web data (TikTok, Reddit, Instagram, X) or public APIs
Airflow or another orchestrator
Data Vault modelling
Trend or signal analysis: growth metrics, anomaly and bot detection, sentiment
About the role We're recruiting for a project, where the team turns social media data (TikTok, Reddit and other platforms) into trend signals that feed the company's products. You'll join a small, senior data team. Your work is the data layer: pipelines, models, signal quality and new data sources. The dashboard UI is built by another team.
What we offer
Fully remote work
Ownership of complex, high-impact data and analytics challenges
Large, diverse datasets and new data sources to explore
Freedom to shape technical approaches and solutions
Close collaboration with senior data leadership
Modern data stack and AI-assisted coding tools
Multisport card
Private healthcare
,[Extract, clean and model large social media datasets (posts, hashtags, engagement) from TikTok and other platforms, Build and maintain dbt models and data pipelines, with automated tests for data quality, Prototype pipelines and metrics for new data sources (starting with Reddit) and check whether they're useful, Help map trend signals to new business categories (taxonomy, categorisation, validation), Work independently on scoped deliverables, document your work in Jira and write clean, reusable code, Build quick prototypes to validate approaches with stakeholders] Requirements: Python, Snowflake, dbt, Social media, Vault, Tableau, Power BI, AI
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