Data Engineer – Analytics & Social Data

Technologies we use

Expected

• Python
• SQL
• dbt
• Snowflake
• Git
• GitHub

Optional

• Apache Airflow
• Tableau
• Microsoft Power BI
• Copilot
• Cursor
• Codex
• Claude Code

Operating system

• Windows

About the project

We are looking for a Data Engineer to work with large social and web datasets, helping transform raw data into reliable datasets, metrics, and insights. The role combines hands-on data work with data discovery, pipeline development, quality assurance, and rapid prototyping.

This is how we organize our work

This is how we work

• in house
• agile

Your responsibilities

• Extracting, cleaning, transforming, and analysing data from social and web sources.
• Building and improving data transformations and prototype pipelines.
• Working with large datasets and ensuring their quality and consistency.
• Supporting the evaluation of new data sources and developing metrics to assess their value.
• Identifying trends and meaningful signals within complex datasets.
• Applying automated testing to data pipelines and analytical outputs.
• Building quick prototypes to validate new data approaches with stakeholders.
• Producing clear analytical outputs and visualisations where needed.
• Writing clean, reusable code and documenting implemented solutions.
• Working independently on well-defined technical deliverables.
• Using AI-assisted development tools while maintaining ownership of code and data quality.

Our requirements

• 2+ years of commercial experience working with data.
• Strong hands-on experience with Python and SQL.
• Practical experience with dbt.
• Experience working with Snowflake.
• Experience cleaning, transforming, and working with large datasets.
• Good understanding of data quality and reliable data processing.
• Experience with Git/GitHub.
• Ability to independently deliver well-scoped technical tasks.

Optional

• Experience with social media or web data.
• Experience working with external APIs and integrating new data sources.
• Experience with Airflow or another workflow orchestration tool.
• Familiarity with Data Vault modelling.
• Experience with Tableau and/or Power BI.
• Experience building prototype data pipelines.
• Experience defining or validating analytical metrics.
• Experience implementing automated tests for data transformations and pipelines.
• Previous exposure to trend or signal analysis.
• Experience evaluating the quality and usability of previously unknown datasets.
• Practical experience with AI coding tools such as Copilot, Cursor, Codex, or Claude Code.

What we offer

• Fully remote work.
• Hands-on work with Python, SQL, dbt and Snowflake.
• Opportunity to work with large and diverse social and web datasets.
• Exposure to both data engineering and analytical problem-solving.
• Opportunity to develop further in data pipelines, data quality, transformations, and data discovery.
• Technical mentorship and collaboration with experienced data specialists.
• Opportunity to experiment with new data sources, metrics, and prototypes.
• Access to modern AI-assisted development tools.
• Multisport card.
• Private healthcare.

This is how we work on a project

• TDD
• test automation
• testing environments

Development opportunities we offer

• development budget
• intracompany training
• substantive support from technological leaders
• technical knowledge exchange within the company

Benefits

• sharing the costs of sports activities
• private medical care
• remote work opportunities

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.