Software Engineer at Warner Music Group | Toronto

Job SummaryAs an Analytics Engineer at Create Music Group, you will join our dynamic Analytics & Insights team. In this role, you will collaborate closely with stakeholders and internal data teams to develop scalable analytics solutions that address business needs. Your responsibilities will include data analysis, integration from diverse datasets, SQL optimization for analytics and reporting, and managing end-to-end analytics deliverables while proposing enhancements for data and reporting.The ideal candidate is a proactive individual who approaches complex challenges with creativity and determination, consistently striving for analytical excellence. You will combine your technical skills with strong business insight to transform data into actionable insights that drive significant business impact.

Job SummaryArtificial Intelligence is revolutionizing the way we develop products and the products themselves. With rapid advancements, the focus has shifted towards pinpointing essential challenges and making a significant impact efficiently. We are in search of adept product innovators who possess sound judgment, an eye for quality, and a penchant for experimentation. Collaboration is key, and we are committed to delivering authentic value to our users.ResponsibilitiesTake ownership of one or multiple product domains and drive their success.Delve into the operational, technical, and user contexts to distill complexities into actionable solutions for users and partners.Identify critical product challenges and formulate them into clear hypotheses.Collaborate closely with data analysts, designers, and engineers to transform hypotheses into functioning software solutions.

Role overview Create Music Group is looking for a Senior Analytics Engineer to join the Analytics & Insights team. This remote position (Canada) works closely with internal data teams and stakeholders across the company. What you will do Translate business needs into analytics solutions that can scale as the company grows Analyze and integrate data from a variety of datasets Optimize SQL queries for analytics and reporting purposes Take responsibility for analytics deliverables from start to finish Recommend improvements to data and reporting processes

Job SummaryAs artificial intelligence revolutionizes the development landscape, we face new challenges in making sound technical choices, crafting scalable architectures, and delivering high-quality software at an accelerated pace. We are on the lookout for a proactive Full Stack Engineer who thrives on building comprehensive products, fostering collaboration among teams, and leveraging AI tools to enhance both development speed and iteration cycles.Key ResponsibilitiesLead the development and implementation of product features while contributing to system design decisions.Transform complex, ambiguous challenges into scalable, production-ready solutions.Design and create backend services, APIs, and event-driven architectures.Produce high-quality, production-ready code throughout the entire stack.Work collaboratively with Product, Design, Data, and Engineering teams to remove obstacles and ensure alignment on technical direction.

Job SummaryJoin Create Music Group as a Full Stack AI Engineer and play a vital role in the development of CreateOS, a revolutionary operating system designed for contemporary record labels. In this pivotal position, you will be responsible for the comprehensive design and implementation of AI-driven functionalities that enhance the intelligence of CreateOS. This encompasses creating seamless workflows, APIs, and user interfaces that facilitate interactions with AI copilots, predictive tools, and automated processes—from initial concept to live deployment.This is a high-responsibility role ideal for a systems thinker who desires to oversee the entire user experience, from the foundational data layer to the user interface. You will collaborate closely with the VP of AI & ML Engineering, operating at the crossroads of product development, engineering, and applied AI. Your immediate contributions will significantly influence three of CMG's top AI initiatives: M&A catalog valuation tools, AI-enhanced A&R discovery platforms, and automated marketing agents—all directly linked to revenue growth and competitive differentiation.Collaboration is key, as you will work hand-in-hand with the ML Engineer, who manages the intelligence layer (models, features, and evaluation). You will be responsible for the application and orchestration layer that delivers this intelligence to our users.

As the Tech Lead, Data Engineer, you will be instrumental in developing Create Music Group's innovative data platform, Medallion 2.0. This pivotal role involves collaborating closely with the Senior Vice President of Data & AI to create a robust medallion architecture that encompasses bronze, silver, and gold data layers. Your responsibilities will include applying domain-driven design principles, ensuring effective data contracts, and fostering proactive communication with both internal teams and external partners.

Job SummaryJoin our dynamic team at Create Music Group as a Senior Data Analyst. In this pivotal role, you will collaborate closely with Music Operations and Finance, bridging the gap between business strategy and data engineering. Your expertise will enable you to transform intricate operational and financial inquiries into scalable reporting frameworks, robust data models, and actionable executive insights.The ideal candidate will demonstrate a proactive approach, tackling complex challenges with creativity and tenacity while setting a high standard for analytical excellence. By combining technical prowess with keen business insight, you will convert data into meaningful insights that drive significant business outcomes.

Job SummaryAs the Senior Application & Cloud Security Engineer, you will be a pivotal member of the Technology team at Create Music Group, directly reporting to the VP of Data Engineering. This position is instrumental in safeguarding our application portfolio and multi-cloud infrastructure (AWS & GCP). You will work hands-on to enhance the security of Label Engine (PHP/Laravel on AWS, processing over $1B in royalties), fortify the expanding GCP-based CreateOS data and AI platform, and implement the company's extensive security roadmap, which encompasses identity management, endpoint protection, vulnerability management, incident response, and compliance.

Job SummaryAt Create Music Group, we are developing a cutting-edge modular platform that manages the complete lifecycle of a contemporary record label—from artist discovery and signing to distribution, marketing, and analytics. Our aim is to empower artists, labels, and their teams with innovative tools to enhance efficiency, accelerate processes, and unlock new creative and commercial opportunities.We are seeking a hands-on Product Design Lead for Systems & Practice—a visionary design leader who not only defines excellence but actively designs it. This role involves shaping the systems, culture, and craft to ensure scalable, high-quality design, while remaining engaged with the details that bring our vision to life.This position is pivotal in creating the design DNA that unifies every experience within our platform—translating complexity into simplicity and influencing design practices at Create, ensuring that it is as much about the process as it is about the outcome. You will leverage deep design thinking, customer insights, and the latest AI advancements to refine our design foundations and enhance design as a vital creative driver across the organization.

Join Warner Music Group, a leading global music company that unites passionate music makers and technology innovators. At WMG, we transform dreams into stardom and audiences into dedicated fans. Our operations are grounded in three core values that drive our success across various sectors: • Curiosity: We thrive on creativity and innovation, which are fueled by our desire to explore and break boundaries.• Collaboration: Our mission is enhanced by teamwork, as we amplify originality through collective efforts. Great ideas resonate globally, bridging connections with artists, songwriters, and fans.• Commitment: We are dedicated to excellence in our endeavors and for our talent. We embrace the unknown with integrity and perseverance.Technology is pivotal to our operations, from onboarding new artists to providing critical data to digital platforms like Spotify and YouTube. Our engineering team is crucial to realizing these objectives.At WMG, we celebrate diversity and strive to create an inclusive environment that values every individual. We encourage applications from a broad spectrum of backgrounds and experiences.Explore a career at WMG for the best of both worlds: an innovative global music company that retains the agile spirit of an independent venture.About Our Team:This role is part of the Sodatone team, which develops an analytics platform leveraging AI and machine learning to discover and evaluate emerging musical talent. By analyzing data from streaming platforms and social media, we empower our A&R teams to identify promising artists, monitor trends, and make informed talent scouting decisions.

Role Overview Cozey is looking for a Staff Analytics Engineer based in Canada. This position reports directly to Frank Joly, Director of Data Engineering. The role focuses on strengthening and expanding analytics engineering across the company. The person in this seat will shape how data models, pipelines, and frameworks are built and maintained to support business decisions. Setting technical standards for data structure, documentation, and trust will help teams work more confidently and efficiently. What You Will Do Design, build, and maintain scalable dbt data models that act as the single source of truth for key business metrics. Work closely with teams across the company to ensure data is accurate and accessible. Lead efforts to improve data quality, reliability, and the efficiency of analysis. Reporting Line This role reports to Frank Joly, Director of Data Engineering. Location This position is open to candidates located in Canada.

Role overview Elastic NV is seeking a Principal Analytics Engineer based in Canada. This position centers on developing analytics solutions that inform strategic choices throughout the company. Collaboration with teams from various departments is a key part of the job, ensuring that data remains accurate, accessible, and ready for analysis. What you will do Design and build analytics systems that align with business objectives Collaborate with colleagues across different functions to deliver insights based on data Uphold strong standards for data integrity and accessibility Turn complex analytical findings into clear, actionable recommendations for stakeholders Requirements Extensive experience with data modeling and ETL processes Expert-level knowledge of advanced analytics techniques Skilled at explaining technical results to both technical and non-technical audiences

About KOHOAt KOHO, we are dedicated to transforming financial services for all Canadians. Our goal is to eliminate hidden fees and predatory interest rates, offering financial products that empower our users to spend wisely, save effectively, and build significant wealth. We prioritize performance and outcomes, deeply caring about our mission to financially empower a generation of Canadians.We don’t adhere to the traditional 9-5 work model. At KOHO, we understand that true impact arises from a culture of trust, empowerment, and support, allowing our team to excel without compromising their personal lives. We emphasize work-life integration through asynchronous collaboration, flexible hours, and a remote-first environment that fosters autonomy and high trust.As we embark on our next chapter, KOHO is becoming leaner, smarter, and more integrated with AI. We focus on creating impact rather than bureaucracy. If you thrive in an environment that values clarity, ownership, and innovative thinking, you will feel right at home here.We are seeking a Product Analytics Engineer to develop and scale robust reporting pipelines that facilitate complex product launches across our Payments, Credit, and Subscriptions sectors. As an integral part of the Product Analytics organization, you will collaborate closely with Product Analysts, Product Managers, and Engineering teams on multi-month projects, ensuring that our data infrastructure evolves alongside our ambitious product initiatives.This role uniquely combines analytics engineering excellence with product analytics requirements. You will be responsible for the technical foundation that empowers our product teams to make informed, data-driven decisions at scale.

Join ServiceNow as the Group Vice President for Canada, where you will lead our strategic initiatives and drive growth across the region. You will be responsible for overseeing business operations, building strong client relationships, and ensuring the delivery of exceptional service. This role requires a visionary leader who can inspire teams and collaborate with stakeholders to achieve our ambitious goals.

Tiger Analytics is a premier advanced analytics consulting firm, recognized as a trusted partner to numerous Fortune 100 companies. We empower businesses to derive significant value from their data through our deep expertise in Data Science, Machine Learning, and Artificial Intelligence. Our leadership and contributions in the field have been acknowledged by industry leaders such as Forrester and Gartner.We are seeking an individual who possesses a strong combination of business consulting acumen and a solid background in data analytics.Key Responsibilities:Leverage cutting-edge data science applications to address complex business challenges.Engage directly with client stakeholders to translate business needs into comprehensive analytics solutions.Effectively present analytical strategies to diverse business audiences, emphasizing the value and reliability of the proposed solutions.Design and implement end-to-end analytics solutions based on a thorough understanding of business problems to ensure efficient and sustainable delivery.Lead analytics projects while fostering collaboration with client stakeholders and global Tiger Analytics teams.Collaborate with team members to identify and implement relevant analytical techniques that yield actionable business insights.Deliver presentations to senior management, relay results to business teams, and develop strategies to integrate analytics into operational processes.

Join Luxury Presence as a Staff Analytics Engineer and play a pivotal role in enhancing data-driven decision-making across our organization. As a part of our dynamic team, you will leverage your expertise in analytics to develop innovative solutions that drive business growth and optimize our operations.In this fully remote position, you will collaborate with cross-functional teams to analyze complex datasets, create insightful reports, and implement analytical tools that empower stakeholders. Your contributions will directly impact our strategic initiatives and help us maintain our position as a leader in the luxury real estate technology space.

Tiger Analytics is a rapidly expanding advanced analytics consulting firm renowned for its expertise in Data Science, Machine Learning, and Artificial Intelligence. We pride ourselves on being the analytics partner of choice for multiple Fortune 100 companies, helping them derive significant business value from their data. Our leadership and business impact have been acknowledged by prominent market research entities, including Forrester and Gartner. We are on the lookout for exceptional talent to enhance our global analytics consulting team.We are currently seeking a highly skilled Data Engineer with extensive experience in Dataiku to join our dynamic data team. In this pivotal role, you will be responsible for designing, constructing, and sustaining robust data pipelines, integration processes, and infrastructure. Your collaboration with data scientists, analysts, and other key stakeholders will be essential to ensure a seamless flow of data and to facilitate data-driven decision-making throughout the organization.

Join Warner Music Group, a dynamic global hub for music creators and enthusiasts, where we transform aspirations into reality and cultivate dedicated audiences. Our organization thrives on three fundamental principles that guide us in all our varied ventures:• Curiosity: Our creativity flourishes when we engage deeply with culture and challenge limits. Curiosity drives our innovation and shapes our future.• Collaboration: The essence of music making is teamwork; a brilliant idea, like a hit song, resonates globally. We foster connections among a diverse community of artists, songwriters, collaborators, and supporters.• Commitment: We strive for excellence for our team and our artists. The journey in music begins with a bold step into the unfamiliar, and we are dedicated to integrity, trust, and fulfilling our commitments.Technology is integral to our operations. From empowering our songwriters to ensuring accurate royalty data for global partners, to equipping our creative teams with cutting-edge AI tools for talent discovery—technology is pivotal to our achievements. As Product Managers, we transform visions into tangible outcomes.Warner Music Group is proud to support a diverse array of artists, musicians, and songwriters who drive our success. We are dedicated to fostering a work environment that values, respects, and appreciates all individuals. We warmly welcome applications from candidates with diverse backgrounds and experiences.Consider a career at WMG and experience the unique blend of an innovative global music company with the creative spirit of a nimble independent.

Tiger Analytics is a leading analytics consulting firm that partners with several Fortune 100 companies, empowering them to derive significant business insights from their data. Our team consists of highly skilled consultants with extensive knowledge in Data Science, Machine Learning, and Artificial Intelligence. We have received recognition from renowned market research firms such as Forrester and Gartner for our innovative approaches and leadership in the analytics space.We are seeking passionate and driven Machine Learning Engineers to join our dynamic team.In this role, you will:Develop and implement solutions for deploying, executing, validating, monitoring, and enhancing data science initiatives.Design scalable and high-performance machine learning systems.Create reusable data pipelines for the seamless integration of machine learning models.Produce high-quality production code and libraries that can be containerized for deployment.