Data Engineer – Analytics & Social Data

About the Role

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.

What we offer:

• Fully remote work.
• High level of technical ownership and autonomy.
• Real influence on how new data sources, metrics, and technical approaches are developed.
• Hands-on work with Python, SQL, dbt and Snowflake.
• Opportunity to solve technically complex problems using large and diverse datasets.
• Opportunity to combine engineering with experimentation, data discovery, and rapid prototyping.
• Close collaboration with senior data leadership.
• Opportunity to shape engineering and data quality practices within the workstream.
• Access to modern AI-assisted development tools.
• Multisport card.
• Private healthcare.

Zakres obowiązków

• 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.

Wymagania

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.

Nice to have:

• 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.

Tech stack

• Python
• SQL
• dbt
• Snowflake
• API
• Airflow
• Data Vault
• Tableau
• Power BI
• AI