Data Engineering Manager

Citco GSGS; Toronto; On-site; CAD 120,000 - 140,000; Full time

Job summary

A global fund services firm based in Toronto is seeking a Data Engineering Manager. You will architect and implement data solutions on Databricks while leading a team of engineers. Key qualifications include extensive experience with Databricks and AWS services, strong coding skills in Python or Scala, and leadership in agile practices. This role offers opportunities for personal development and a commitment to diversity.

Benefits

Flexible working arrangements

Training and education support

Diversity and inclusion initiatives

Qualifications

• 5+ years of hands-on experience with Databricks and Apache Spark.
• Proven experience leading and mentoring data engineering teams.
• Strong programming proficiency in Python (PySpark) or Scala.

Responsibilities

• Architect, implement, and optimize data solutions on Databricks.
• Lead a team of data engineers ensuring best practices.
• Design scalable ETL/ELT frameworks using Spark.

Skills

Databricks

Apache Spark

AWS cloud services

Python

SQL

Terraform

Git

CI/CD

AI in development

Data warehousing

Education

Bachelor’s Degree in Engineering or Computer Science

Tools

AWS S3

AWS EC2

AWS Glue

AWS Lambda

Postgres

Redshift

Job description

Overview

About Citco

Citco is a global leader in fund services, corporate governance and related asset services with staff across 50 office locations worldwide. With more than $1.8 trillion in assets under administration, we deliver end-to-end solutions and exceptional service to meet our clients’ needs.

For more information about Citco, please visit www.citco.com

About the Team & Business Line:

Proprietary software solutions and innovation are at the core of what differentiates Citco in the alternative investment space. Through our network of global development centres, Citco invests heavily in technology development, security, and infrastructure to ensure our clients continue to receive award-winning products that underpin our commitment to service excellence.

As a core member of our Reporting IT team, you will work with dedicated professionals to ensure our clients maintain access to their critical information assets while keeping Citco ahead of industry trends.

Qualifications

• You have a Bachelor’s Degree in Engineering, Computer Science or equivalent.
• 5+ years of hands-on experience with Databricks and Apache Spark, demonstrating expertise in building and maintaining a production-grade data pipelines
• Proven experience leading and mentoring data engineering teams in complex, fast paced environments
• Extensive experience with AWS cloud services (S3, EC2, Glue, EMR, Lambda, Step Functions)
• Strong programming proficiency in Python (PySpark) or Scala, and advanced SQL skills for analytics and data modeling
• Demonstrated expertise in infrastructure as code using Terraform or AWS CloudFormation for cloud resource management
• Strong background in data warehousing concepts, dimensional modeling, and experience with RDBMS systems (e.g., Postgres, Redshift)
• Proficiency with version control systems (Git) and CI/CD pipelines, including automated testing and deployment workflows
• Excellent communication and stakeholder management skills, with demonstrated ability to translate complex technical concepts into business terms
• Has demonstratedthe use of AI in the development lifecycle
• Some travel may be required to the US
• Knowledge of financial industry will be preferred

Benefits

Your well-being is of paramount importance to us, and central to our success. We provide a range of benefits, training and education support, and flexible working arrangements to help you achieve success in your career while balancing personal needs. Ask us about specific benefits in your location.

We embrace diversity, prioritizing the hiring of people from diverse backgrounds. Our inclusive culture is a source of pride and strength, fostering innovation and mutual respect.

Citco welcomes and encourages applications from people with disabilities. Accommodations are available upon request for candidates taking part in all aspects of the selection.

Your Role

As the Data Engineering Manager, you will be responsible for architecting, implementing, and optimizing end-to-end data solutions on Databricks while integrating with core AWS services. You will lead a technical team of data engineers, ensuring best practices in performance, security, and scalability. This role requires a deep, hands-on understanding of Databricks internals and a track record of delivering large-scale data platforms in a cloud environment.

• Lead a team of data engineers in the architecture and maintenance of Databricks Lakehouse platform, ensuring optimal platform performance and efficient data versioning using Delta Lake
• Manage and optimize Databricks infrastructure including cluster lifecycle, cost optimization, and integration with AWS services (S3, Glue, Lambda)
• Design and implement scalable ETL/ELT frameworks and data pipelines using Spark (Python/Scala), incorporating streaming capabilities where needed
• Drive technical excellence through advanced performance tuning of Spark jobs, cluster configurations, and I/O optimization for large-scale data processing
• Implement robust security and governance frameworks using Unity Catalog, ensuring compliance with industry standards and internal policies
• Lead and mentor dataengineering teams, conduct code reviews, and champion Agile development practices while serving as technical liaison across departments
• Establish and maintain comprehensive monitoring solutions for data pipeline reliability, including SLAs, KPIs, and alerting mechanisms
• Configure and manage end-to-end CI/CD workflows using source control, automated testing, and version control