Senior Data Engineer (Python)

TL;DR

Senior Data Engineer (Python): Designing and maintaining ETL pipelines for data ingestion and delivery with an accent on scalability, performance, and cost-optimization. Focus on automating report generation using Snowflake, dbt, and Airflow, and delivering end-to-end data solutions for financial use cases.

Location: Hybrid in Yokne'am Illit, Israel (expectation of 2-3 days in office per week)

Company

NIQ is the world’s leading consumer intelligence company, providing AI-powered customer analytics and brand collaboration platforms to retailers and brands globally.

What you will do

• Design, build, and maintain ETL pipelines for data ingestion, transformation, and delivery.
• Automate and maintain report generation using Snowflake, dbt, and Airflow.
• Develop scalable data pipelines and transformations in Python.
• Implement cloud best practices for data storage, partitioning, and cost management.
• Own production pipelines, including monitoring and continuous improvement.
• Partner with analytics, engineering, and product teams to deliver financial data solutions end-to-end.

Requirements

• 5+ years of experience building and maintaining ETL pipelines using Python.
• Strong experience with data warehouses, specifically Snowflake.
• Hands-on experience with workflow orchestration tools like Airflow and transformation frameworks like dbt.
• Working knowledge of major cloud platforms (AWS, GCP, or Azure) and data services (S3, Redshift, BigQuery).
• Degree in Computer Science, Information Science, or a related quantitative field.
• Must be able to work in a hybrid model in Yokne'am Illit, Israel.

Nice to have

• Familiarity with BI tools such as Looker, Tableau, or Qlik.
• Understanding of CI/CD pipelines and DevOps best practices.

Culture & Benefits

• Flexible working environment.
• Volunteer time off.
• Access to LinkedIn Learning.
• Employee-Assistance-Program (EAP).