Senior Data Developer, Analytics & Insights
Job Description
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Developer, Analytics & Insights based in Canada.
This is a high-impact data engineering role focused on building and optimizing scalable data pipelines that power analytics, insights, and data-driven decision-making across enterprise platform initiatives.
You will design, develop, and maintain robust ELT/ETL pipelines handling large volumes of structured and unstructured data across modern cloud environments.
The role involves close collaboration with analysts, data scientists, product managers, and engineering teams to translate business needs into reliable and efficient data solutions.
You will play a key role in strengthening data architecture, improving pipeline performance, and ensuring data quality, governance, and integrity at scale.
A strong emphasis is placed on automation, innovation, and leveraging AI-native data engineering practices to enhance scalability and efficiency.
This position is ideal for an experienced data engineer who thrives in complex, cloud-based ecosystems and enjoys solving large-scale data challenges.
This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Senior Data Developer, Analytics & Insights based in Canada.
This is a high-impact data engineering role focused on building and optimizing scalable data pipelines that power analytics, insights, and data-driven decision-making across enterprise platform initiatives.
You will design, develop, and maintain robust ELT/ETL pipelines handling large volumes of structured and unstructured data across modern cloud environments.
The role involves close collaboration with analysts, data scientists, product managers, and engineering teams to translate business needs into reliable and efficient data solutions.
You will play a key role in strengthening data architecture, improving pipeline performance, and ensuring data quality, governance, and integrity at scale.
A strong emphasis is placed on automation, innovation, and leveraging AI-native data engineering practices to enhance scalability and efficiency.
This position is ideal for an experienced data engineer who thrives in complex, cloud-based ecosystems and enjoys solving large-scale data challenges.