Senior Data Engineer

• 5+ years in a data engineering, analytics engineering or technical data analyst role (5+ years for Senior)
• Hands-on, commercial experience with dbt. You've built and tested models yourself, not just read about it
• Strong SQL: window functions, CTEs, deduplication, incremental logic
• 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