Posted yesterday
Data Engineer – Marketing & Audience Analytics
@ HCLTech
Ontario
Overview
HCLTech is hiring a Data Engineer for marketing and audience analytics in Toronto or Vancouver, hybrid. The role builds large-scale data pipelines and advanced SQL and Python workflows that turn customer, campaign and audience data into insights for business teams. The posting names strong SQL and Python, and experience with segmentation, campaign and email marketing data.
Responsibilities:
- Design, build and maintain large-scale data pipelines
- Develop advanced SQL queries for transformation and reporting
- Use Python for data processing and automation
- Analyze campaign and audience data for trends and quality issues
- Partner with cross-functional teams on data accuracy
Requirements summary:
- Strong hands-on data engineering experience
- Advanced SQL proficiency
- Strong Python programming experience
- Experience with audience, customer and campaign data
- Strong analytical and troubleshooting skills
Tools & skills
Source and dates
Source type not verified · apify-linkedin
- Employer posting date
- 2026-11-10
- First seen by our source
- 2026-11-11
- Source record updated
- 2026-11-11
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Department | Data & analytics |
| Hours per week | 40 (estimated) |
| Travel | air: none · ground: none |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
Summary and details written by AI from the posting; the employer’s posting is the authority.
HCLTech
| Field | Value |
|---|---|
| Open jobs on Jobsy | 42 |
🚀 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!
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