We're reinventing the market research industry. Let's reinvent it together.

At Numerator, we believe tomorrow's success starts with today's market intelligence. We empower the world's leading brands and retailers with unmatched insights into consumer behavior and the influencers that drive it.

We are seeking a highly skilled Senior Data Engineer with extensive experience in designing, building, and optimizing high-volume data pipelines. The ideal candidate will have strong expertise in Python, Databricks on Azure Cloud services, DevOps, and CI/CD tools, along with a solid understanding of AI/ML techniques and big data processing frameworks like Apache Spark and PySpark.

Responsibilities

Adhere to coding and Numerator technology standards
Build suitable automation test suites within Azure DevOps
Maintain and update automation test suites as required
Carry out manual testing, load testing, exploratory testing as required
Work closely with Business Analysts and Senior Data Developers to consistently achieve sprint goals
Assist in estimation of sprint-by-sprint stories and tasks
Pro-actively take a responsible approach to product delivery

Skills & Requirements

Requirements

7-10 years of experience in data engineering roles
Good Python skills
Experience working with Microsoft Azure Cloud
Experience in Agile methodologies (Scrum/Kanban)
Experience with Apache Spark, PySpark, Databricks
Experience working with Devops pipeline, preferably Azure DevOps

Preferred Qualifications

Bachelor's or master's degree in computer science, Information Technology, Data Science, or a related field.
Experience working in a support focused role
Knowledge/experience in AI ML techniques
Certification in relevant Data Engineering discipline or related fields.

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