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About the role
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 What You'll Bring to Numerator 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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