Data Engineering Lead
🚀 We're Hiring: Data Engineering Lead 📍 Toronto, ON | Hybrid We're looking for an experienced Data Engineering Lead to join a high-performing team building scalable data platforms that power enterprise analytics, business intelligence, and next-generation AI solutions. If you're passionate about big data, cloud technologies, and leading technical initiatives, we'd love to connect! 💻 Required Skills ✅ 8+ years of Data Engineering experience (2+ years in a Lead/Technical Lead role) ✅ Python, PySpark, Pandas & NumPy ✅ SQL, Apache Spark, Hadoop & Impala ✅ Databricks & Snowflake ✅ Azure or AW…
- Hybrid
- ONTARIO
- Posted Jul 27, 2026
- Apply by Aug 26, 2026
- 1 position
Job summary
🚀 We're Hiring: Data Engineering Lead 📍 Toronto, ON | Hybrid We're looking for an experienced Data Engineering Lead to join a high-performing team building scalable data platforms that power enterprise analytics, business intelligence, and next-generation AI solutions. If you're passionate about big data, cloud technologies, and leading technical initiatives, we'd love to connect! 💻 Required Skills ✅ 8+ years of Data Engineering experience (2+ years in a Lead/Technical Lead role) ✅ Python, PySpark, Pandas & NumPy ✅ SQL, Apache Spark, Hadoop & Impala ✅ Databricks & Snowflake ✅ Azure or AWS Cloud ✅ Apache Airflow, Azure Data Factory (ADF), or Apache NiFi ✅ ETL/ELT Pipelines & Data Modeling ✅ CI/CD, Data Lakes & Data Governance ✅ Strong leadership, communication, and problem-solving skills ⭐ Nice to Have • Experience with GenAI / LLM data pipelines • Machine Learning, Feature Engineering & Model Serving • Experience with unstructured/semi-structured data • Knowledge of PII handling, security, and enterprise data governance 📅 Contract: Initial 6 Months (High possibility of extension up to 1 Year) 📩 Interested? Please email your updated resume with: • Current Location • Work Authorization (with validity) • Total Experience • Notice Period 📧 Email: yashvi.shah@apexon.com #Hiring #DataEngineering #DataEngineer #LeadDataEngineer #BigData #PySpark #Python #Databricks #ApacheSpark #Hadoop #SQL #Snowflake #Azure #AWS #Airflow #AzureDataFactory #ApacheNiFi #ETL #DataPipelines #DataLake #CloudEngineering #GenAI #AI #TorontoJobs #CanadaJobs #HybridJobs #ContractJobs #HiringNow
What you’ll do
Lead the development of scalable data platforms to support enterprise analytics, business intelligence, and AI solutions. Drive technical initiatives and oversee the creation of robust data pipelines.
Requirements
Requires over 8 years of data engineering experience, including at least 2 years in a leadership role. Proficiency in Python, Spark, cloud platforms (Azure/AWS), and modern data warehousing tools like Snowflake and Databricks is essential.
Other relevant skills
Identified from the job description. Confirm important requirements above.
- Python
- PySpark
- Pandas
- NumPy
- SQL
- Apache Spark
- Hadoop
- Impala
- Databricks
- Snowflake
- Azure
- AWS
- Apache Airflow
- Azure Data Factory
- Apache NiFi
- ETL/ELT Pipelines
Additional details
- Minimum experience
- 10+ years
- Apply by
- Aug 26, 2026