Senior Data Engineer

We are looking for an experienced Senior Data Engineer to take technical ownership of data solutions built around large-scale social and web data. The role combines hands-on engineering, data discovery, metric development, data quality, and rapid prototyping.

🎯 Responsibilities:

• Owning the technical approach for extracting, transforming, and scoring signals from large social and web datasets.

• Designing and developing reliable data transformations and pipelines.

• Evaluating new data sources and determining how they can be incorporated into existing data workflows.

• Defining and validating metrics used to identify meaningful trends and signals.

• Taking ownership of complex technical implementation across the workstream.

• Translating ambiguous business and product requirements into clear technical solutions.

• Cleaning and preparing large datasets while ensuring data quality and consistency.

• Building automated testing into data transformations and pipelines.

• Developing rapid prototypes to validate technical approaches before full implementation.

• Delivering clean, reusable code, pipelines, and datasets.

• Supporting technical decisions and helping shape the approach to new data challenges.

• Using AI-assisted development tools while maintaining full ownership of engineering quality and correctness.

📌Requirements:

• 5+ years of commercial experience in data engineering, analytics engineering, or another strongly technical data role.

• Strong hands-on experience with Python and SQL.

• Strong practical experience with dbt.

• Experience working with Snowflake.

• Experience building or developing reliable data pipelines and transformations.

• Strong understanding of data quality and automated testing.

• Ability to independently own complex technical problems from definition through implementation.

• Experience translating business or product requirements into technical solutions.

• High level of autonomy, technical judgement, and ownership.

➕ Nice to have:

• Experience working with social media, web, trend, or behavioural data.

• Experience integrating external APIs and new data sources.

• Experience with Airflow or other orchestration tools.

• Experience with Data Vault modelling.

• Experience with Tableau and/or Power BI.

• Broader experience with data modelling and data warehouse concepts.

• Experience designing analytical metrics and data products.

• Experience building prototypes to validate new data approaches.

• Experience introducing automated data quality checks and testing practices.

• Experience assessing unfamiliar datasets for quality and business value.

• Previous exposure to trend or signal analysis.

• Practical experience with AI coding tools such as Copilot, Cursor, Codex, or Claude Code.

💡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.