Shape the data landscape as a Data Engineer at Heylist, where you'll design and operate platforms transforming raw data into strategic insights. With a focus on building pipelines and data services, your expertise will drive our product innovation.At Heylist, you'll take ownership of the data platform, designing ingestion pipelines and maintaining data warehouses. Your role requires collaboration with Data Science and Product teams to enhance analytics. With 5+ years of experience in SaaS environments, you'll ensure the quality and reliability of our data services while driving company-wide adoption of datasets.Key Responsibilities:Design and build data ingestion pipelinesOwn data warehouse schema design and qualityBuild APIs for in-product featuresEstablish data governance and quality standardsSupport continuous incidents improvementRequirements:5+ years in Data Engineering, especially in SaaSProficient in Python and SQLExperience in data modeling and ETL processesFamiliarity with Microsoft Azure cloudFluent in English; French is a plusBring your pipeline expertise and data governance skills to help Heylist unlock the future of creator marketing.#J-18808-Ljbffr

📌 Data Engineer At Heylist (Montreal)
🏢 Heylist
📍 Montreal