MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

MUST HAVE:

• 5+ years of experience in data engineering within fast-paced, cloud-native environments
• Deep expertise in Python, SQL, Docker, and AWS (S3, Glue, Kinesis, Athena/Presto)
• Experience building and managing scalable ETL pipelines and data lake infrastructure
• Familiarity with distributed systems, Spark, and data quality best practices
• Strong cross-functional collaboration skills to support BI, analytics, and engineering teams

EXPERIENCE: 5+ years of data engineering experience in an AWS-based environment where data powers decision-making across product, marketing, and operations.

YOUR ROLE

Lead scalable data engineering efforts that empower cross-functional teams with reliable, timely, and actionable data, ensuring Launch Potato’s analytics and business intelligence infrastructure fuels strategic growth.

OUTCOMES

• Build and optimize scalable, efficient ETL and data lake processes that proactively catch issues before they impact the business
• Own the ingestion, modeling, and transformation of structured and unstructured data to support reporting and analysis across all business units
• Partner closely with BI and Analytics to deliver clean, query-ready datasets that improve user acquisition, engagement, and revenue growth
• Maintain and enhance database monitoring, anomaly detection, and quality assurance workflows
• Serve as the internal point of contact for reporting infrastructure—delivering ad hoc data analyses and driving consistent data integrity
• Drive adoption and advancement of Looker dashboards by ensuring robust and scalable backend data support
• Contribute to the future of Launch Potato’s data team by mentoring peers and shaping a high-performance, quality-first engineering culture

COMPETENCIES

• Data Engineering Mastery: Demonstrates technical excellence in building data pipelines, troubleshooting distributed systems, and scaling infrastructure using AWS and open-source tools
• Cross-Functional Collaboration: Communicates clearly across technical and non-technical teams, translating business needs into robust data solutions
• Proactive Ownership: Operates with a strong sense of accountability; identifies and solves data issues independently and efficiently
• Quality-Driven Execution: Holds a high bar for data accuracy, auditability, and documentation throughout all systems and workflows
• Strategic Thinking: Anticipates how data infrastructure impacts wider company OKRs and proactively suggests improvements and innovations
• Growth Mindset: Seeks out opportunities to elevate team capabilities, mentor others, and stay ahead of evolving best practices in data engineering

Want to work in technology at an investment bank?

Graduate training, ongoing support, opportunities at leading global employers – the Alumni graduate program gives you everything you need. (And don’t worry, there’s no training bond. No exit fees, no hidden catches).

Here at mthree, we pair great graduates with brilliant global businesses. Our clients include tier one investment banks and other organizations across a range of industries, from insurance to healthcare to travel.

mthree has an exclusive partnership with Columbia Univ. School of Engineering. All mthree Alumni are eligible to receive two Executive Education certificates from Columbia Engineering as part of their Academy and industry placement experience at no cost. Further, all participating Alumni will have access to the Columbia Engineering network and ongoing training.

What you'll do:

Production support plays a vital role in enterprise technology, from algorithmic trading engines to regulatory reporting.

Think of it as healthcare for technology. As a production support analyst with mthree, you’ll be on a shared mission to look after the technical systems and processes other teams rely on.

As a Production Support Analyst, you’ll: 

• Provide 24/7 production support for high-availability trading, risk, and batch-processing applications.
• Monitor system health, application performance, and batch workflows to proactively identify and resolve issues, gaps, or delays.
• Execute incident, problem, and change management processes in alignment with technology standards.
• Troubleshoot and analyze production issues related to infrastructure, application logic, connectivity, and data quality.
• Develop and maintain operational dashboards, catalogues, and automated reporting using Databricks, Oracle, or similar platforms.

How the Alumni program works:

1. Apply via this job advert.
2. Complete our assessment process.
3. Get trained at mthree Academy in an online class for 4-8 weeks with other graduates.
4. Join a mthree client for 12-24 months while receiving support and salary increases every 12 months.
5. The vast majority then convert to permanent employees with the client at the end of the program.

What you’ll learn at the mthree Academy:

• How to discuss production support activity at a high level including ITIL (information technology infrastructure library), monitoring, DevOps, SRE (site reliability engineering), and disaster recovery.
• How to discuss common financial topics, including financial markets, equity trading, derivatives, currency, treasury, regulation, and risk.
• How to write a basic computer program in Python, including user input, common data structures, and flow of control.
• How to use MySQL to perform CRUD (create, read, update and delete) operations on a relational database stored in a MySQL Server.

What you'll need:

• Bachelor's degree in computer science or a related STEM subject (science, technology, engineering, math).
• A GPA of 2.75 or higher. We look for potential, not prestige, but it’s important that you enjoy pushing yourself to pick up new ideas.
• Ability to troubleshoot, taking an analytical approach to solve problems.
• The right to work in Canada without needing visa sponsorship.

What we’re looking for: 

• Financial industry experience and market data experience is preferred.
• Problem solving skills:  Must be able to tackle problems based on limited information, be able to seek out solutions and work around problems.
• Hands-on monitoring experience with high-availability applications and batch processing, including understanding of batch architecture, critical paths, dependencies, and trend analysis.
• Knowledge of containerization technologies, such as Kubernetes and Docker.
• Ability to build dashboards, catalogues, and automated queries using Databricks or Oracle.
• Knowledge of automation or Site Reliability Engineering (SRE) practices focused on eliminating manual work and improving system stability.

What you’ll get:

• In-depth, interactive training in small classes with graduates like you. Our training is created and delivered by industry experts who know your field inside out.
• A generous graduate salary.
• Pay rises every12 months to reflect your progress.
• A flexible benefits package 
• Ongoing training and support.
• Valuable industry experience. Ultimately, a foot in the door to build your career in an in-demand niche.

How to apply:

1. Apply via the form below and tell us a bit about you.
2. Complete the online assessment (we’ll send you a link by email).
3. Complete the interviews with our friendly talent team.
4. Lastly, you’ll interview with one or more of our clients.

We take great pride in celebrating the diversity of each and every individual who contributes to making mthree the company it is today and will be in the future. We value diversity both within mthree and with our partner companies, and we're proud to provide an environment where all our colleagues can flourish. That means promoting a strong culture of equality but, most importantly, inclusion. We never want people to change - only add to the amazing mix of people that work for mthree.