Join intive, a global team of 2000 professionals driving innovation for leading brands like Audi, Meta, and Warner Bros. Discovery. We are looking for a Senior Data Engineer to help us build and maintain pioneering, sustainable digital experiences within a fully remote environment.
Key responsibilities
- Design, build, and maintain scalable end-to-end data pipelines to support analytics and data-driven decision making.
- Develop and optimize data models, transformations, and ELT/ETL processes using modern data stack technologies.
- Build and maintain data warehouse solutions while ensuring data quality, governance, and security.
- Monitor, troubleshoot, and optimize data workflows and processing performance.
- Support stakeholders by providing actionable insights and enabling effective use of data products.
Requirements
- 5+ years of experience in Data Engineering, Analytics Engineering, or similar roles.
- Strong experience building and maintaining scalable data pipelines and data warehouse solutions.
- Advanced SQL skills and proven experience with data modeling techniques.
- Strong Python skills for data processing, automation, and orchestration.
- Experience with modern data stack tools such as dbt, Airflow, or Airbyte and cloud-based platforms like Snowflake.
What we offer
- Career Path Planning: Create a career path based on your goals with support, training, and mentoring.
- Training & Mentorship: Unlimited access to Udemy, internal courses, and a robust mentorship program.
- Professional Hubs: Join a community of experts sharing knowledge and the latest technology trends.
- Culture & Connection: A supportive environment that fosters connections across teams and functions.