We're looking for a passionate and methodical Data Engineer, to provide expertise to build and maintain data pipelines and data model pipelines for new and existing products in the company’s data platform, that will impact directly on Trafilea’s growth.

You must be passionate about data architecture, data warehouse and BI development, to create scalable and reliable frameworks to ensure cost-effective and accurate data extraction & transformation pipelines.

About Trafilea

Trafilea is a global company that builds communities and transformative brands. We own the brands and take care of the entire customer journey, to deliver wow-worthy experiences that influence and empower millions of people globally.

Our culture is fast-paced and dynamic. We are data-driven enthusiasts, passionate about marketing, exponential technologies and innovation.

We have over 150 employees working around the world, connected by the same purpose and core values. Our support for this new way of working has led to being featured in Forbes and FlexJobs as one of the Top 25 Companies for Remote Workers.

Shapermint

Shapermint, Trafilea’s largest brand, is a shapewear-exclusive, online retailer offering curated styles from top-rated brands. We’ve grown the brand to 1+ million customers in the first 9 months and are aiming to build one of the biggest communities on body positivity, self-love & confidence. Our main purpose is to empower women across the world.

We are looking for dynamic, dedicated, and committed individuals with a strong desire to grow that can drive the brand forward on its truly exciting journey.

Key Responsibilities

Data architecture

• Review the current Python ETL framework of data pipelines and propose new initiatives to improve reliability and overall robustness.
• Development of new ETLs, using the current Python framework and propose improvements to it.
• Become a benchmark in the use of Airflow (Advance Scheduler)
• Carry out the correct monitoring of issues in the extraction of data, and propose improvements for efficient consumption of data through APIs.
• Work side by side with BI main Architect and BI Developer to create and ensure best practices and guidelines are being used properly by all projects.
• Assess and communicate effectively the effort for required developments.
• Be in charge of build and maintain data pipelines and data models for new and existing projects.

Data Analysis and Availability

• Discover new data sources to improve new and existing data pipelines.
• Provide feedback and expert points of view as needed to help thrive all data initiatives in the company.
• Improve the quality of existing and new data processes (ETL), incorporating statistical process
• control, creating alerts when anomalies are received from data sources on every step of the pipeline.
• Create benchmark control of execution times for every pipeline, to control and identify potential availability issues.