Sr. Data Engineer (Databricks/Spark)

BeachHead View all jobs

  • Toronto, ON
  • Permanent
  • Full-time
  • 20 days ago
Sr. Data Engineer (Databricks/Spark)
  • Date Posted Feb 13, 2026
  • Location Toronto, Ontario
  • Job Type Contract
  • Job ID 19260
Are you experienced in building scalable data solutions with Databricks? Apply Now!Working with one of our top financial clients, this role calls for a Sr. Databricks Spark Developer (Banking). This position involves designing, developing, and optimizing large-scale data pipelines using Databricks and Apache Spark, with a focus on delivering robust solutions within the banking or financial services domain. The successful candidate will communicate effectively with both technical teams and business stakeholders, contributing to high-performance data environments in a fast-paced setting.Responsibilities
  • Design, develop, and optimize data pipelines utilizing Databricks and Apache Spark
  • Manage and process large-scale datasets in a distributed computing environment
  • Collaborate with cross-functional teams including business and technical stakeholders
  • Participate in solution design discussions and provide insightful technical recommendations
  • Ensure data quality, performance optimization, and solution scalability
  • Troubleshoot and resolve data pipeline issues efficiently
  • Contribute to documentation and best practices for data engineering processes
Desired Skill-Set
  • Proven hands-on experience with Databricks and Apache Spark development
  • Familiarity with enterprise environments, preferably in banking or financial services
  • Strong understanding of distributed computing and data architecture
  • Excellent verbal and written communication skills
  • Ability to work independently in a dynamic, fast-paced environment
  • Experience working on large-scale data projects with multiple stakeholders
Nice to Have
  • Experience with Kafka or other messaging systems
  • Knowledge of Python programming
  • Previous experience in data solution architecture or leadership roles
  • Familiarity with cloud platforms and related data tools
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