Data Engineer – Analytics & Social Data

• 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.

• 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.