Senior Data Engineer - Digital Marketing (Colombia)

They are looking for a skilled Data Engineer with 5–7 years of experience to join their team. The ideal candidate will have hands-on expertise in ETL pipelines, data transformations, and performance optimization, with strong problem-solving skills and the ability to communicate effectively across technical and non-technical teams. Our client is a challenger holding company built to transform marketing through a faster, cheaper, and more accessible media mix modelling (MMM) and scenario planning solution.

Responsibilities

Design, build, and maintain scalable ETL pipelines for large-scale data processing; Work extensively with PySpark and Databricks to execute complex data transformations and workflows; Fine-tune data pipelines to maximize performance, scalability, and cloud cost-efficiency; Partner with engineering and business teams to translate requirements into high-quality data solutions; Debug, resolve, and prevent complex data processing and pipeline bottlenecks; Enforce best practices for data quality, governance, and system performance

Requirements

5–7 years of hands-on data engineering experience building production-grade solutions; Strong proficiency in PySpark and extensive hands-on experience with Databricks; Advanced knowledge of Databricks AutoLoader, Python, best practices, performance tuning, and compute cost optimization; Deep understanding of end-to-end ETL processes, complex data transformations, and pipeline optimization; Exceptional problem-solving skills and the ability to communicate technical concepts clearly across both technical and business teams

Benefits

100% remote work; Highly competitive USD pay; Paid time off; Work with autonomy; Work with top American companies; A culture that values well-being and work-life balance; Engagement activities; Diverse, global network; Team up with skilled professionals