iTeamly
Senior Data Engineer
Senior Data Engineer joining a small senior team building the data layer of a project that turns social media data (TikTok, Reddit, etc.) into trend signals feeding company products. Daily work: dbt models, strong SQL and Python pipelines, and a cloud data warehouse (Snowflake preferred), fully remote.
- Compensation
- Not disclosed
- Location
- Poland
- Work setup
- Remote
- Seniority
- Senior
- Employment
- Not specified
- Experience
- 5+ years
- Category
- Data engineering
- Posted
Skills
Must have
- 5+ years in a data engineering, analytics engineering or technical data analyst role
- Hands-on, commercial experience with dbt (built and tested models yourself)
- 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 preferred, BigQuery/Redshift/Databricks fine for Mid
- Git in everyday work
- Comfortable working autonomously with limited onboarding
- Good English (whole team communicates in English)
- Uses AI coding tools (Copilot, Cursor, Claude Code etc.) and takes 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
Full description
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
- 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