Junior Data Engineer

WHO WE ARE:

Quartile, the world's largest retail media optimization platform, is a trusted partner for multichannel e-commerce success. Through unmatched expertise and patented AI technology, we fuel growth for 5,300+ brands and sellers worldwide and manage an annual ad spend exceeding $2 billion. The award-winning platform covers major marketplaces and ad channels for optimal reach. The result is unprecedented granularity, smarter budgeting, and bespoke solutions for retailers. 

Quartile is proud to be an equal opportunity employer with employees stemming from a wide range of backgrounds and experiences. As a business, we value the enrichment that diversity brings to our organization and are committed to a culture that creates a sense of inclusion and belonging. We welcome new perspectives and affirm that all employment decisions are made without regard to race, color, ancestry, religion, national origin, age, familial or marital status, sex, sexual orientation, pregnancy, gender identity or expression, disability, genetic information, veteran status, or any other classification protected by federal, state, or local law. 

OVERVIEW:

We are looking for a Junior Data Engineer to join our Data Engineering team. This person will play a key role in validating data pipelines, monitoring processes, supporting the product team, and analyzing data to ensure the quality of our gold tables and reports. 

REQUIREMENTS:

• Currently enrolled in or graduated from a degree or technical program in Computer Engineering, Computer Science, Data Analytics, or a related field. 

• Basic knowledge of PySpark for data manipulation in distributed environments. 

• Proficiency in SQL for query creation and data analysis. 

• Analytical skills to identify patterns, anomalies, or data issues. 

• Good communication skills to work with both technical and product teams. 

• Proactive attitude to suggest improvements and seek data understanding. 

….. If you reached this point, we hope you're feeling excited about the job description. We're eager to meet people that believe in Quartile's mission and can contribute to our team in a variety of ways. Feel welcome to apply!

PREFERRED QUALIFICATIONS (Optional):

• Previous experience with cloud data tools (Databricks, Snowflake, Azure Data Factory, AWS Glue, etc.). 

• Experience with version control tools (e.g., Git). 

• Knowledge of Python for data process automation. 

WHAT YOU’LL DO:

• Assist in validating data pipelines, ensuring data integrity and timely updates. 

• Analyze and validate “gold” tables (business data layer), identifying possible inconsistencies or issues. 

• Monitor automated data ingestion, transformation, and delivery processes. 

• Identify and report issues such as data load delays, ingestion failures, or KPI discrepancies. 

• Collaborate with business teams to clarify questions related to data and reports. 

• Contribute to the continuous improvement of data governance and monitoring processes. 

BENEFITS:

• Company Laptop
• Generous Paid Time Off
• The opportunity to join an international team