Join a diverse team of approx. 2000 professionals across four continents, driving innovation and growth within intive’s technology hubs. Work alongside industry experts trusted by leading brands like Audi, BMW, Deichmann, Meta, NewsCorp, Tandem, Paramount, Vorwerk, and Warner Bros. Discovery to create pioneering, sustainable digital experiences.

At intive, agile thinking and deep industry expertise come together across Automotive & Mobility, Commerce, Financial Services, Healthcare & Life Sciences, and Technology, Media & Communication. Be part of a team that’s shaping the future of digital innovation.

What You Will Be Doing
- Design, build, and maintain scalable end-to-end data pipelines to support analytics, reporting, 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 and support data integration from multiple internal and external sources.
- Ensure data quality, governance, security, and reliability across data platforms and pipelines.




- Monitor, troubleshoot, and optimize data workflows, models, and processing performance.
- Support stakeholders by providing actionable insights and enabling effective use of data products.

You Are a Good Match If You Have
- 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, Airbyte, or similar technologies.
- Experience working with cloud-based data platforms and data warehouses, preferably Snowflake.
- Ability to translate business requirements into scalable data models and technical solutions.
- Strong analytical and problem-solving skills with

📌 Senior Data Engineers (Argentina)
🏢 Intive
📍 Argentina