Senior Data Engineering Lead

As a Senior Data Engineering Lead at this leading consumer intelligence company, your role will be crucial in driving enterprise data transformation through a combination of technical expertise, leadership, and collaboration with business stakeholders. You will have the opportunity to work closely with global teams to design scalable solutions and enable advanced analytics & AI initiatives. Role Overview: - Lead the design and development of scalable data pipelines and data warehouse solutions to support Finance operations. - Build and manage data transformations using dbt. - Architect and optimize Snowflake data platforms for performance and cost efficiency. - Develop ingestion and orchestration workflows using Azure Data Factory (ADF). - Build automation for data processing and pipeline logic using Python. - Enable analytics and reporting through optimized Power BI data models. - Partner with business and analytics teams to convert requirements into scalable solutions. - Collaborate with teams across different time zones and drive delivery. - Mentor and manage a team of data engineers, setting best practices and engineering standards. - Support AI initiatives by enabling high-quality analytics-ready datasets. Qualifications: - 10 years of experience in Data Engineering / Data Platform roles. - Strong hands-on expertise in dbt, Snowflake, and ADF. - Proficient in Python programming for data engineering and automation. - Advanced SQL and data modeling skills. - Experience with Power BI data modeling. - Exposure to AI data use cases. Additional Information: At this company, you will enjoy benefits such as a flexible working environment, volunteer time off, LinkedIn Learning, and Employee-Assistance-Program (EAP). The company utilizes artificial intelligence (AI) tools in the recruitment process to improve efficiency and ensure fair evaluation based on job-related criteria. Final hiring decisions are made exclusively by humans. NIQ is a consumer intelligence company with a commitment to diversity, equity, and inclusion in the workplace. For more information about the company and its advancements in consumer intelligence, visit their website and follow them on LinkedIn, Instagram, Twitter, and Facebook. Join this company in their dedication to inclusivity and equity, and be part of a meaningful impact in the field of consumer intelligence. As a Senior Data Engineering Lead at this leading consumer intelligence company, your role will be crucial in driving enterprise data transformation through a combination of technical expertise, leadership, and collaboration with business stakeholders. You will have the opportunity to work closely with global teams to design scalable solutions and enable advanced analytics & AI initiatives. Role Overview: - Lead the design and development of scalable data pipelines and data warehouse solutions to support Finance operations. - Build and manage data transformations using dbt. - Architect and optimize Snowflake data platforms for performance and cost efficiency. - Develop ingestion and orchestration workflows using Azure Data Factory (ADF). - Build automation for data processing and pipeline logic using Python. - Enable analytics and reporting through optimized Power BI data models. - Partner with business and analytics teams to convert requirements into scalable solutions. - Collaborate with teams across different time zones and drive delivery. - Mentor and manage a team of data engineers, setting best practices and engineering standards. - Support AI initiatives by enabling high-quality analytics-ready datasets. Qualifications: - 10 years of experience in Data Engineering / Data Platform roles. - Strong hands-on expertise in dbt, Snowflake, and ADF. - Proficient in Python programming for data engineering and automation. - Advanced SQL and data modeling skills. - Experience with Power BI data modeling. - Exposure to AI data use cases. Additional Information: At this company, you will enjoy benefits such as a flexible working environment, volunteer time off, LinkedIn Learning, and Employee-Assistance-Program (EAP). The company utilizes artificial intelligence (AI) tools in the recruitment process to improve efficiency and ensure fair evaluation based on job-related criteria. Final hiring decisions are made exclusively by humans. NIQ is a consumer intelligence company with a commitment to diversity, equity, and inclusion in the workplace. For more information about the company and its advancements in consumer intelligence, visit their website and follow them on LinkedIn, Instagram, Twitter, and Facebook. Join this company in their dedication to inclusivity and equity, and be part of a meaningful impact in the field of consumer intelligence.