68 results
FiltersThis role involves driving technical vision and strategy for data infrastructure, building and maintaining sophisticated data pipelines, datasets, and analytical tools. Cross-functional initiatives to transform advertising products through data-driven insights are also a key part, with mentoring fellow engineers to deliver exceptional results.
As a Senior Data Analytics Engineer on the Data Analytics Data Platform (DADP) team, you'll analyze, develop, and deliver business intelligence solutions using the Microsoft Analytics stack, working directly with clients to ensure their expectations and business decision-making tool needs are met. You will create scalable and reliable data solutions through data analytics solution development.
The data team turns raw on-chain activity into trustworthy and reusable datasets, and you will sit at the intersection of protocol mechanics, SQL modeling, and transformation tooling. You will work closely with data engineers and product managers to standardize how key on-chain concepts are represented across chains and protocols, so analysts and developers can build reliably on top of them.
Tackle diverse projects for clients ranging from local businesses to the Fortune 500. Design, develop and implement large scale, high-volume, high-performance data infrastructure and pipelines for Data Lake and Data Warehouse. Design cloud-native data pipelines, automation routines, and database schemas that can be leveraged to do predictive and prescriptive machine learning.
As a Senior Manager, Enterprise Data you’ll own and scale the central “hub” of our enterprise data ecosystem, overseeing the data warehouse, ingestion, and transformation processes to deliver trusted, well-governed data that powers decision-making across the business. You’ll implement best practices for data modeling, ensuring pipelines are organised, secure, reliable and scalable while partnering with cross-functional teams.
Shape the future of how Canva generate and interact with business insights through data. This role involves building the foundational analytics layer for using large language models, designing scalable semantic data models, and partnering with data scientists to automate performance reporting. You'll also modernize legacy dashboards with AI and contribute to a data platform that supports better decision-making.
Design, build, and maintain reliable data pipelines to consolidate information from various internal systems and third-party sources. Develop and manage a comprehensive semantic layer. Implement and enforce data quality checks, validation rules, and governance processes to ensure data accuracy. Ensure AI agents have access to the necessary structured and unstructured data. Create clear documentation for data models and pipelines.
Drive data-informed decision-making across the organization by translating business problems into analytical solutions, designing insightful dashboards, and uncovering trends that shape strategic actions. This role requires strong analytical skills, deep business acumen, and a passion for using data to tell stories that inspire action.
Support strategic client implementations and optimization initiatives across the Adobe Experience Platform, with a focus on RTCDP, schema modeling, data pipelines and data modeling within AEP. Serve as a trusted advisor to clients, helping them design scalable data models across the AEP ecosystem. The ideal candidate will be able to develop and design data-driven experiences for our clients.
We are seeking an experienced Qlik Sense Developer to design, develop, and maintain data- driven dashboards and analytics solutions. The role involves building efficient data models, creating impactful visualizations, and integrating Qlik Sense with multiple data sources. Experience or exposure to SAP Analytics Cloud (SAC) is a plus, as the client may transition to SAC in the near future.