Data Engineer - Capital Markets

PCRecruiter - Recruitment Software & Applicant Tracking System; Toronto; On-site; CAD 100,000 - 130,000; Full time

Job summary

A leading IT services firm in Toronto is seeking a Data Engineer specializing in Trading Technology. The role involves designing and maintaining a scalable cloud-based data platform to support trading and post-trade activities. Ideal candidates will have 8-10 years of experience, a degree in Engineering or Computer Science, and expertise in Python and AWS. This is a 6-month contract with the possibility of renewal, working on-site four days a week.

Qualifications

• 8-10 years relevant experience.
• 5+ years experience in Python in an enterprise environment.
• Strong knowledge of software development best practices.

Responsibilities

• Design and maintain a scalable cloud-based data platform.
• Implement processes to monitor and improve data quality.
• Model and store financial trading data for analytics.

Skills

Python

AWS technologies

Strong problem-solving skills

Data Engineering

SQL

Kubernetes

Education

University degree in Engineering or Computer Science

Tools

AWS

BI tools like Quicksight

Job description

Data Engineer - Capital Markets/ Trading Technology

This is with a global IT services firm for a leading pension / investment management services firm.
Location: Downtown Toronto - work in office 4 days /week
Contract - 6 months, possible renewal

Project description
You will work as a Data Engineer in Trading Technology, Public Market Investments team, partnering with traders, investment professionals and operations staff to design and implement solutions enabling trading and post trade activities. You will be responsible for hands on development of analytical solutions covering several asset classes including equities, fixed income, derivatives, OTC and FX. Through close partnership with traders, investment professionals and operations, you will see firsthand how your software is impacting trade activities

Responsibilities
Own aspect of designing, building and maintaining a scalable and efficient cloud base data platform to meets the needs of trading analytics.
Help implement processes and tools to monitor and improve data quality.
Model and efficiently store financial trading data for use in analytics.
Create procedures to ensure best practices are being met in the software development process.
Liaise with technical and business individuals who may be internal staff or external vendors towards the completion of projects.
Create solutions tailored to business requirements aligned with the long-term architecture and technology strategy using Amazon Web Services (AWS) for Cloud development.
Provide knowledge transfer of application support and deployment processes to team members, Operations, and Support personnel through proper documentation.
Proactively find improvement opportunities to streamline business processes, automate manual processes where appropriate.
Other duties as assigned.

Skills
Must have
University degree in Engineering or Computer Science
8-10 years relevant experience
5+ experience in Python in an enterprise environment, and AWS technologies.
Good understanding of trading, capital market, trade life cycle with an eagerness to contribute to the systems that support them.
Strong knowledge of software development best practices and patterns.
Strong problem-solving and debugging skills
Strong hands-on experience in Python, AWS Cloud and Kubernetes.
Strong working knowledge of Databases
SQL
Expertise with Data Engineering: data pipelines, data quality principles, data profiling techniques and data governance best practice
Knowledge of technologies for Cloud development. Experience working with AWS is must.
Good to have experience in BI tools like Quicksight etc.
Passion to expand your domain knowledge both on the job and through continued education
Commitment to our Client's guiding principles of integrity, partnership and high performance.

Nice to have
Proven expertise in software design, data engineering and data analysis.
Demonstrated ability to write high-quality, maintainable code.
Excellent problem-solving and communication skills.