Senior Data Engineer

At NIQ, we deliver the most complete and clear understanding of consumer buying behavior that reveals new pathways to growth. We are looking for a Big Data Software Engineer to join our NIQ Activate Technology team in Yokne'am Illit, Israel. This is a hybrid work environment with the expectation of being in the office 2-3 days a week.

NIQ Activate is a leading provider of AI-powered customer analytics, personalization, and brand collaboration platform. Serving dozens of retailers and brands across the world using cutting-edge Big Data, real-time analytics, and data-science automation. Our solution is disrupting existing data & media monetization models by enabling retailers to remain in control of their revenue.

Responsibilities

Design, build, and maintain ETL pipelines for data ingestion, transformation, and delivery.; Automate and maintain report generation using Snowflake, dbt, and Airflow.; Build scalable data pipelines and transformations in Python.; Apply cloud best practices for data storage, partitioning, performance, and cost.; Own production pipelines, including monitoring and continuous improvement.; Troubleshoot data and pipeline issues from clients and internal teams, identify root causes and implement durable fixes.; Write maintainable, tested code and participate in code reviews.; Adapt pipelines to changing business and client requirements.; Partner with analytics, engineering, and product teams on data initiatives.; Deliver data solutions for financial use cases end to end.

Requirements

Degree in Computer Science, Information Science, or a related quantitative field.; 5+ years of experience building and maintaining ETL pipelines using Python.; Strong experience with data warehouses and analytics platforms (Snowflake preferred).; Hands‑on experience with workflow orchestration tools such as Airflow.; Experience with dbt or similar transformation frameworks.; Working knowledge of a major cloud platform (AWS, GCP, or Azure) and data services (e.g., S3, Redshift, BigQuery).; Familiarity with BI tools such as Looker, Tableau, or Qlik.; Understanding of CI/CD pipelines and DevOps best practices.; Strong analytical skills with attention to data quality and correctness.; Clear communication skills with both technical and non‑technical stakeholders.; Comfortable collaborating with globally distributed teams.

Benefits

Flexible working environment; Volunteer time off; LinkedIn Learning; Employee-Assistance-Program (EAP)