Senior Data Engineer

The Role

We’re looking for a hands-on Data Engineer to join a growing data team working across AdTech / MarTech.

This role is focused on building and optimising data pipelines and models within Snowflake, working with large-scale marketing and media datasets across multiple platforms.

You’ll play a key role in shaping how data is ingested, transformed, and structured for analytics and activation, working with complex, often messy datasets from across the media ecosystem.

What You’ll Be Doing

• Build and maintain data pipelines into Snowflake using modern ELT practices
• Develop scalable data models and views using dbt
• Ingest and integrate data from multiple marketing platforms (APIs, batch, streaming)
• Work with datasets from DSPs, paid social, and search platforms
• Blend and transform data across multiple sources into unified datasets
• Ensure data quality, integrity, and reliability across pipelines
• Troubleshoot and optimise existing pipelines and workflows
• Support downstream use cases including BI dashboards and analytics

Must-Have Skills

• Strong hands-on experience with Snowflake (building views, tables, data models)
• Proven experience using dbt in production environments
• Advanced SQL skills
• Experience with Python for data processing
• Working knowledge of AWS (S3, Glue, Lambda or similar)

Domain Experience (Critical)

• Background in Media, AdTech, or MarTech environments
• Experience working with data from:
• DSPs (e.g. DV360, The Trade Desk)
• Paid Social (Meta, TikTok, LinkedIn Ads)
• Google Ads
• Strong understanding of how marketing data flows end-to-end

What We’re Looking For

• Experience building end-to-end data pipelines
• Strong exposure to API-based data ingestion
• Experience handling large, messy, and fragmented datasets
• Ability to create clean, structured datasets for reporting and analytics
• Comfortable working in a fast-paced, evolving data environment

Nice to Have

• Experience with Airflow or Dagster
• Working with JSON / semi-structured data
• Familiarity with CI/CD pipelines and Git

Why Join

• Work with high-volume, real-world marketing data across multiple platforms
• Opportunity to own and shape data models and pipelines
• Exposure to modern data stack (Snowflake + dbt + cloud)
• Fast-paced environment with strong growth and learning opportunities