Join a fast-paced, innovative private equity firm driving growth for globally recognized brands through cutting-edge analytics and technology. Be part of a collaborative team where your software engineering skills will shape the future of data-driven decision-making and impactful business solutions.
Role:
Collaborate with data scientists to solve complex business problems using advanced analytics.
Partner with engineers to support data science solutions from analysis to deployment.
Build efficient ETL pipelines for new and existing data sources.
Develop custom software packages and applications.
Create automated deployment pipelines with robust testing.
Write production-grade code for scalable analytics products.
Stay current on emerging AI/ML technologies and applications.
Qualifications:
Possess MSc in a Computer Science or a related field.
2+ years of experience in software engineering and deploying production applications.
You are proficiency in APIs, Pub/Sub, serverless architecture, and ETL processes.
You are experience with Python, SQL, and cloud platforms (Azure, GCP, AWS).
You have a familiarity with version control tools like GitHub, GitLab, or Azure DevOps.
You are experience delivering complex analytics solutions with data science teams.
You have knowledge of coding standards, code reviews, CI/CD, and testing best practices.
You have the ability to perform in fast-paced, deadline-driven environments.
You have the familiarity with Flask, BigQuery, Postgres, and Terraform.
Benefits:
Competitive Salary
Medical, Dental, Vision and Life insurance
401K Match
Paid PTO
Breakfast and Lunch provided
How to Apply:
If you are intertested in this role, please apply to this role via the link or reach out to Luc Simpson-Kent.