Data Engineer – Platform at Spotify | Toronto

Join Spotify as a Data Engineer on our Platform team and be a part of our mission to unlock the power of music for millions of users around the globe. In this role, you will design, build, and maintain cutting-edge data infrastructure and pipelines that enable our teams to make data-driven decisions. Your innovative mindset and technical expertise will play …

Join Lyft as a Data Engineer, where your expertise will drive innovative data solutions that enhance our ride-sharing platform. Collaborate with cross-functional teams to design, implement, and maintain robust data pipelines and architectures that support data analytics and machine learning initiatives.

Join creatoriq as a Senior Data Engineer specializing in Reporting. In this pivotal role, you will leverage your expertise to design and implement robust data infrastructure, enabling our team to transform complex datasets into valuable insights. Your contributions will directly influence our reporting processes and drive data-driven decision-making across the organization.

Join Acquird as a Senior/Staff Python Developer and be a part of our dynamic team in Toronto! We are looking for innovative minds who thrive in a collaborative environment to drive our software development projects forward. You will be responsible for designing, implementing, and maintaining high-quality software solutions using Python. Your expertise will play a key role in shaping the direction of our products and ensuring optimal performance.

Join Lyft as a Data Engineer and play a pivotal role in shaping our data architecture and infrastructure. You will collaborate closely with cross-functional teams to design and implement robust data pipelines that enable data-driven decision-making across the organization.

At Veeva Systems, we are a purpose-driven organization at the forefront of the industry cloud, empowering life sciences companies to accelerate the delivery of therapies to patients. As one of the fastest-growing SaaS companies in history, we achieved over $2 billion in revenue last fiscal year and have significant growth opportunities on the horizon.Central to our mission are our core values: Do the Right Thing, Customer Success, Employee Success, and Speed. In 2021, we made history by becoming a public benefit corporation (PBC), legally committed to balancing the interests of our customers, employees, society, and investors.As a Work Anywhere company, we offer the flexibility to work from home or in the office, allowing you to thrive in the environment that suits you best.Join us in transforming the life sciences industry and making a positive impact on our customers, employees, and communities.

Role overview eqbank is looking for a Data Engineer based in Toronto. The main focus is on building and maintaining data pipelines that transform raw data into useful insights. These efforts help teams across the company use information to reach business objectives. What you will do Design and build data pipelines for efficient collection, processing, and storage Create analytics solutions that help drive business decisions Work with colleagues from different departments to understand data requirements and deliver results Contribute to improving how data is managed and used throughout eqbank Collaboration and impact This role involves close collaboration with teams from various parts of the business. The aim is to ensure data remains accurate, easy to access, and valuable for both daily operations and long-term planning.

Konrad Group, a digital consultancy based in Toronto, focuses on building digital products for clients worldwide. The team values analytical thinking, curiosity, and continuous learning while tackling complex business problems. Role overview The Senior Data Engineer develops and maintains scalable data platforms and pipelines. This position works closely with data analysts, scientists, and engineers to deliver secure and reliable data solutions. Key technologies include Azure Fabric, Databricks, and Snowflake. Main responsibilities Design and build scalable data pipelines and architectures. Create solutions using cloud platforms such as Azure Fabric, Databricks, and Snowflake. Optimize data workflows for reliability, scalability, and performance. Collaborate with internal teams to understand data requirements and deliver tailored solutions. Maintain data security and adhere to industry standards and best practices. Support data modeling, extraction, transformation, and loading (ETL/ELT) processes. Recommend strategies to enhance data quality and analytical capabilities. Location This position is based in Toronto.

Join CSC Generation, a pioneering AI-native holding company that is revolutionizing omnichannel retail. We specialize in acquiring iconic brands and enhancing them through our cutting-edge Genesis operating platform. This platform integrates a robust Data Fabric, an advanced Automation Engine, proprietary tools, and shared services to modernize operational workflows, enrich customer experiences, and maximize profit margins. With over $1 billion in revenue from our diverse portfolio, which includes esteemed brands such as Sur La Table, Backcountry, and One Kings Lane, we serve as real-world innovation labs for the retail industry.Reporting to: VP, Performance Marketing Location: Toronto, ON (Hybrid preferred)

OverviewThe Senior Solutions Engineer will be responsible for cultivating and managing technical relationships with potential sales prospects. This role focuses on promoting cutting-edge AI and machine learning operations and data infrastructure to a diverse audience, including C-level executives, individual contributors, and engineers.In collaboration with the sales team, you will provide technical support to customers, deliver engaging presentations, lead the design of integration architectures, and contribute to the development of new accounts.

WHO ARE WE?Launch Potato is a thriving digital media company that engages over 30 million visitors monthly through our innovative brands such as FinanceBuzz, All About Cookies, and OnlyInYourState.Our mission as The Discovery and Conversion Company is to connect consumers with top brands through insightful data-driven content and cutting-edge technology.With our headquarters in South Florida and a remote-first team spanning over 15 countries, we foster a high-growth, high-performance culture that prioritizes speed, ownership, and measurable impact for success.WHY JOIN US?At Launch Potato, you will have the opportunity to advance your career by taking ownership of outcomes, acting quickly, and making a significant impact alongside a global team of high achievers.

At Relay, we empower self-made entrepreneurs with a digital banking platform that enhances financial clarity, confidence, and control. Our innovative approach transforms cash flow management from a source of stress into a powerful tool for business resilience. Our mission is to elevate the success rate of small businesses, moving beyond traditional banking limitations to enable growth and collaboration.We are seeking a Senior Data Engineer to play a pivotal role in scaling our data ecosystem during an exciting phase of growth. This is your chance to influence how we evolve our data and analytics stack, ensuring our teams have timely access to the right data for optimal decision-making.Note: Our team collaborates in a hybrid environment, working in the office three days a week (Tuesday to Thursday).Your Responsibilities:Design and implement data models using DBT within our Snowflake data warehouse, facilitating secure, privacy-preserving analytics.Ensure the scalability of technologies and processes that support our data platform as Relay grows.Develop data tools, workflows, and APIs for technical teams to access and engage with our data platform.Collaborate with stakeholders to resolve data-related technical challenges and support their infrastructure needs.Construct systems to monitor core KPIs, ensuring teams have the accurate, timely data necessary for effective operations.Partner with Trust, Security, and Governance teams to safeguard customer data through best practices in security and compliance.Qualifications:A minimum of 3 years of experience in Data Engineering.Proficiency in data modeling, data warehousing, and analytics.Experience with DBT and Snowflake or similar technologies.Strong problem-solving skills and the ability to work collaboratively in a team-oriented environment.

Konrad Group is a digital consultancy that creates technology solutions for complex business challenges. The team values creativity, technical expertise, and ongoing learning. Their digital products serve millions of users globally. Role overview This Data Engineer role is located in Toronto. The position focuses on designing, building, and maintaining scalable data platforms and pipelines. Experience with Azure Fabric, Databricks, and Snowflake is required. Regular collaboration with analysts, data scientists, and other engineers ensures that data solutions remain reliable, secure, and efficient. Main responsibilities Design and manage data pipelines and architecture to support business needs. Build solutions using Azure Fabric, Databricks, and Snowflake. Improve data workflows to enhance reliability, scalability, and performance. Work closely with internal stakeholders to understand data requirements and deliver tailored solutions. Maintain data security and ensure compliance with relevant standards. Handle data modeling, extraction, transformation, and loading (ETL/ELT) tasks. Suggest new methods to improve data quality and analytics.

Achievers is looking for a Senior Backend Software Engineer to join the Data Intelligence team in Toronto. This role centers on building and maintaining backend services that transform data from our SaaS platform into actionable insights for clients. Role overview As part of the team, you will design and develop backend systems using Python and Go. Our services run on a microservices architecture, deployed with Google Cloud Platform and Kubernetes. The focus is on delivering intelligent, high-impact solutions that help organizations use their data more effectively. What you will do Develop and maintain backend services that process and analyze platform data Work with Python and Go in a microservices environment Deploy and manage services on GCP and Kubernetes Help create seamless and valuable user experiences by solving engineering challenges at scale Requirements Experience with backend development using Python and/or Go Familiarity with microservices architecture Experience deploying services on Google Cloud Platform and Kubernetes Strong problem-solving skills and ability to work on large-scale systems Note: This position is focused on backend engineering, not data engineering.

At RAVL, we empower technologists to elevate their careers through innovative solutions.We blend strategic insight with execution, deeply valuing our partnerships and measuring success by the meaningful impact we create. Our mission is to cultivate a team dedicated to achieving sustainable business outcomes in every endeavor.We aim to enhance our clients' experiences and foster a workplace where our employees are enthusiastic about Building. Better.As the Principal Data Engineering Leader at RAVL, you will architect and enhance enterprise-level data and AI platforms, ensuring they are secure, scalable, and high-performing. In your role as a Community of Practice (COP) Leader within the BuildIQ organization, you will develop cross-functional data and AI capabilities that elevate all Organizations of Engagement (OOEs). This includes providing expert architectural guidance, establishing platform standards, and creating reusable accelerators across teams.You will excel in ambiguous environments, embracing a results-driven mindset to deliver visible and significant progress. Success at RAVL involves a combination of profound technical expertise in raw data engineering, data platform architecture, and applied AI systems, coupled with creativity, an open mindset, and the ability to influence as a trusted advisor in complex client settings. This role carries the responsibility not only for project delivery but also for elevating the performance standards of the entire data discipline.

The Platform team at Spotify is dedicated to developing cutting-edge technology that facilitates rapid learning and scalability, ensuring swift growth in our user base and business globally. Our multidisciplinary approach enables us to construct the necessary infrastructure, tools, frameworks, and capabilities to welcome a billion customers.We are actively seeking a Senior Data Engineer to become a vital part of the Cost Engineering Product Area. Our mission is to promote sustainability through cost and climate intelligence, enhancing Spotify's capacity to share creativity with the world. The Cost Engineering team plays a crucial role in optimizing both the cost and carbon footprint of our infrastructure and software, operating at the intersection of technology, product, procurement, and finance.As a Senior Data Engineer within Cost Engineering, you will have a significant influence on decisions that shape Spotify’s technological and financial future. By designing and implementing the data systems that drive our cost efficiency practices, you will lay the groundwork that enables us to minimize our costs and carbon footprint, allowing Spotify to grow sustainably while mitigating our climate impact.

About the RoleVantage Analytics is seeking a talented Senior Data Engineer to enhance our Measurement team. This team is dedicated to improving the Insights Explorer feature on our platform, allowing our partners to effortlessly convert retail media data into actionable insights.In your role as a Senior Data Engineer, you will be instrumental in architecting the data infrastructure necessary for collecting, processing, and analyzing our extensive datasets. You will leverage a suite of advanced technologies to innovate what is achievable with real-time data and large-scale batch processing.This is a newly created position, reflecting our commitment to expanding our capabilities.

Join Lyft as a Senior Data Engineer and play a pivotal role in creating scalable data solutions that enhance our services and drive our business forward. You will work closely with cross-functional teams to design, build, and maintain data pipelines that support analytics and machine learning initiatives.

Join System Canada Technologies as a Solutions Support Engineer and play a pivotal role in delivering exceptional support to our clients. This position is designed for individuals who excel at problem-solving and thrive in a dynamic environment. You will collaborate closely with our engineering and customer service teams to ensure seamless technical support and solutions implementation.

WHO ARE WE?Launch Potato is a thriving digital media company that engages over 30 million visitors each month through our popular brands, including FinanceBuzz, All About Cookies, and OnlyInYourState.Our mission as The Discovery and Conversion Company is to connect consumers with leading global brands through data-driven content and technology.With headquarters in South Florida and a remote-first team spanning over 15 countries, we've cultivated a high-growth, high-performance culture where speed, ownership, and measurable impact drive our success.WHY JOIN US?At Launch Potato, you’ll fast-track your career by taking ownership of outcomes and driving impactful results within a dynamic, global team of high performers.