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Offer summary
(Summary generated by AI based on the full job description)
The project focuses on social signal analysis and trend detection. Core technologies are dbt, SQL (window functions, CTEs, incremental logic), Python for ETL and APIs, and cloud data warehouse (preferred Snowflake). Responsibilities include extracting, cleaning and modeling large social media datasets from TikTok and others, building and maintaining dbt models and pipelines with data quality tests, prototyping new sources (e.g. Reddit), mapping signals to business taxonomy and documenting work in Jira.
Senior Data Engineer (Python / Snowflake)
Company: ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
from: 9 October 2026
to: 8 November 2026
22 500 - 30 000 złnet (+ VAT)/ mth.B2B contract (full-time)
Offer parameters
level:senior
working mode:remote
location:Kraków, Lesser Poland
Kraków, Lesser Poland
Requirements
Expected technologies
Python
SQL
dbt
Snowflake
Optional technologies
Apache Airflow
Tableau
Microsoft Azure
Copilot
Cursor
Codex
Claude Code
Our requirements
- 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
Optional
- 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
Your responsibilities
- 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
About the project
We are looking for a Senior Data Engineer to drive trend detection and social signal data analysis pipelines. 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.
This is how we work on a project
- Continuous Deployment
- Continuous Integration
- documentation
- issue tracking tools
- performance tests
- test automation
- testing environments
What we offer
- B2B contract, fully remote
- A data-heavy project with real product impact and a modern stack
- A small team with direct access to the Head of Data
- Quick recruitment process: a short call with us, a technical interview (dbt, SQL, Python) and a final interview with the project lead
Benefits
- sharing the costs of sports activities
- private medical care
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
As Venture Building, we create profitable technology companies from scratch. We collaborate with partners who share similar aspirations and are open to leveraging the potential of their networks, cultivated over years. We regularly launch new projects founded on long-term, amicable relationships with our associates.
Senior Data Engineer (Python / Snowflake)
22.5k–30k zł / mth. (B2B)
I apply to:
ITEAMLY SPÓŁKA Z OGRANICZONĄ ODPOWIEDZIALNOŚCIĄ
Kraków, Lesser Poland
Need more information?
- Make sure the body of the offer doesn’t already include what you’re looking for.
- Ask a question if you need more information you’re interested in.
- We’ll forward your question to the employer and aim to provide a response within 3 business days.