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Data Engineer – Marketing & Audience Analytics

@ HCLTech

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Temps plein
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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.

Responsabilités :

  • 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

Résumé des exigences :

  • 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

Outils et compétences

SQLPythonPower BIAzure Communication ServicesSnowflakeDatabricksAzure Data Factory
Source et dates

Type de source non vérifié · apify-linkedin

Date publiée par l’employeur
2026-11-10
Première détection par notre source
2026-11-11
Mise à jour du dossier source
2026-11-11

Ces dates décrivent le dossier source, pas une vérification en direct du recrutement. Consultez l’offre originale.

Détails du poste

DomaineDonnées et analytique
Heures par semaine40 (estimé)
Déplacementsavion : aucun · route : aucun
Milieu de travailBureau
PositionSurtout assis
Exigences physiquesphysique faible · ordinateur élevé
LanguesEnglish

Résumé et détails rédigés par l’IA à partir de l’offre; l’offre de l’employeur fait foi.

Postuler
ChampValeur
Offres sur Jobsy42
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!

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