Data Engineer – Marketing & Audience Analytics
- ON, Canada
- Ontario, Canada, Canada
Full-time
Applications open in a new tab.
Job details
- Job type
- Full-time
- Apply by
- Posting language
- English
- Posted
Original job description
🚀 We're Hiring: Data Engineer – Marketing & Audience Analytics
Join our team and play a key role in transforming customer, campaign, and audience data into actionable insights. If you're passionate about data engineering, enjoy solving complex data challenges, and have experience working with marketing datasets, we'd love to hear from you!
Location📍 Toronto or Vancouver (Hybrid)
About the Role
We are seeking a highly skilled Data Engineer with strong expertise in SQL, Python, and large-scale data processing. The ideal candidate will have experience working with audience segmentation, campaign data, and email marketing platforms, helping business teams make data-driven decisions through reliable and scalable data solutions.
Key Responsibilities
✅ Design, build, and maintain large-scale data pipelines and workflows
✅ Process, validate, and troubleshoot complex datasets across multiple sources
✅ Develop advanced SQL queries for data transformation, analysis, and reporting
✅ Leverage Python for data processing, automation, and workflow optimization
✅ Analyze campaign and audience data to identify trends, opportunities, and data quality issues
✅ Partner with cross-functional teams to improve data accuracy, reliability, and accessibility
✅ Support marketing and customer engagement initiatives through data-driven insights
Required Qualifications
✔ Strong hands-on experience in Data Engineering
✔ Advanced proficiency in SQL (complex queries, data transformation, validation, troubleshooting)
✔ Strong programming experience with Python
✔ Experience working with:
- Audience Segmentation
- Customer Segmentation
- Campaign Analytics
- Email Marketing Data
- Marketing Analytics
✔ Strong analytical, troubleshooting, and problem-solving skills
✔ Experience managing and optimizing large-scale datasets and data workflows
Nice to Have
⭐ Experience with Power BI for reporting, visualization, and business insights
⭐ Experience with Azure Communication Services (ACS)
⭐ Exposure to Snowflake, Databricks, Azure Data Factory, or similar cloud data platforms
#DataEngineering #SQL #Python #MarketingAnalytics #CustomerData #AudienceSegmentation #CampaignAnalytics #PowerBI #Azure #DataPipelines #ETL #DataQuality #Hiring #CanadaJobs
📩 Interested candidates can apply directly or reach out to discuss the opportunity further.
Know someone who would be a great fit? Feel free to share this opportunity within your network!
More about this job
Responsibilities
Design, build, and maintain scalable data pipelines; process, validate, and troubleshoot complex datasets using SQL and Python. Analyze campaign and audience data, improve data quality and accessibility with cross-functional teams, and support marketing and customer engagement initiatives with data-driven insights.
Requirements
Requires hands-on data engineering experience, advanced SQL skills, and strong Python programming experience. Candidates should have experience with audience and customer segmentation, campaign analytics, email marketing data, marketing analytics, and large-scale datasets and workflows.
Skills
- Data Engineering
- SQL
- Python
- Data Pipelines
- Data Processing
- Data Validation
- Data Troubleshooting
- Audience Segmentation
- Customer Segmentation
- Campaign Analytics
- Email Marketing Data
- Marketing Analytics
- Large-Scale Data Workflows
- Power BI
- Azure Communication Services
- Snowflake
Visa sponsorship
Not detected in the job text
Categories
- Data & Analytics
- Technology
- Software
- Marketing
Keywords
- Data Engineering
- SQL
- Python
- Data Pipelines
- Data Workflows
- Data Processing
- Data Validation
- Data Quality
- Data Transformation
- Data Troubleshooting
- Audience Segmentation
- Customer Segmentation
- Campaign Analytics
- Email Marketing
- Marketing Analytics
- Customer Data
- Large-Scale Datasets
- Automation
- Workflow Optimization
- Power BI
- Azure Communication Services
- Snowflake
- Databricks
- Azure Data Factory
- Cloud Data Platforms
- Reporting
- Data Visualization
- ETL