Data Engineering Lead

Apexon; Toronto; On-site; CAD 120,000 - 180,000; Full time

Job summary

Apexon seeks an experienced Data Engineering Lead to architect scalable data platforms powering analytics and AI solutions. You will guide a high-performing team and own technical initiatives end-to-end.

Requirements: 8+ years in data engineering (2+ years in a lead role), expertise in SQL, Spark, Hadoop/Impala, and cloud (Azure or AWS). Hands-on with Airflow, ADF, or NiFi; strong leadership and communication skills.

Qualifications

• 8+ years of Data Engineering experience (2+ years in a Lead/Technical Lead role).
• Experience with SQL, Apache Spark, Hadoop & Impala.
• Azure or AWS Cloud.
• Apache Airflow, Azure Data Factory (ADF), or Apache NiFi.
• Strong leadership, communication, and problem-solving skills.

Job description

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!

8+ years of Data Engineering experience (2+ years in a Lead/Technical Lead role)

SQL, Apache Spark, Hadoop & Impala

Azure or AWS Cloud

Apache Airflow, Azure Data Factory (ADF), or Apache NiFi

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)