Data Analytics Engineer

Join Campaignswell as a Data Analytics Engineer and help build scalable data pipelines powering our AI-driven marketing analytics platform. Work with SQL, Python, dbt, Snowflake, Airflow, and AWS to support high-quality data processing for apps, games, and e-commerce brands. Apply now to shape the future of predictive analytics.

Most of your impact here comes from diagnosis and architectural thinking — expect to spend the majority of your time understanding the system, investigating issues, and evaluating options before writing a single line of code. We trust you from day one: no sandbox, real production tasks from the start. The codebase is clean, documentation is still growing — and adding to it will be part of your contribution.

Responsibilities

• Investigate, diagnose, and resolve data issues across the DWH; research solution options within the existing architecture before implementing changes.
• Design, build, and maintain scalable data pipelines and DWH models using Data Vault methodology.
• Implement and maintain ELT processes; design data layers within Snowflake using dbt.
• Enforce data validation and quality checks to ensure accuracy and consistency.
• Document findings, decisions, and architecture changes as part of ongoing onboarding and knowledge-building.
• Collaborate closely with Data Scientists and Customer Success Analytics teams.

Requirements

• 5+ years of data engineering or analytics engineering experience.
• Hands-on experience with Data Vault architecture — must have.
• Excellent SQL and Python skills.
• Hands-on experience with dbt (data build tool).
• Experience with OLAP data warehouses, specifically Snowflake.
• Strong understanding of data structures and storage formats.
• Experience with workflow orchestration tools (Apache Airflow or equivalent).