Search the 78 jobs at Fractal

As a Senior Data Engineer (Azure), you will develop software and systems for large-scale projects, manage the end-to-end execution of technology services, and innovate solutions for enterprise clients. You will work closely with the Technology team, applying your expertise in Azure and data engineering principles.

The Senior Engineer/MLOps Engineer will develop and implement machine learning production systems, collaborating with Data Scientists and Engineers to automate and streamline model operations. Responsibilities include building scalable ML pipelines, deploying models, troubleshooting issues, and maintaining tools for deployment and monitoring. The role requires strong programming skills and experience in cloud computing environments.

The People Experience role at Fractal Analytics involves planning and executing large-scale employee engagement programs and events that foster a sense of community and collaboration, while also using data analytics to measure and improve employee engagement initiatives.

The Apprentice program offers training across various tracks, including Data Visualization, Data Engineering, and Decision Sciences, enabling participants to learn skills like building data pipelines, developing business intelligence solutions, and using analytical methods to derive insights from complex data sets, mainly for Fortune 500 clients.

The Social Media Manager will run campaigns, create engaging content, analyze performance metrics, and manage interactions on social media platforms. The role requires staying updated on social media trends and tools to enhance brand awareness and audience engagement.

The Solutions Architect for Edge Computing & IoT at Fractal will design and implement effective solutions by collaborating with clients and engineering teams. Key responsibilities include gathering technical specifications, deploying IoT hardware, developing architectural documents, mentoring team members, and providing technical assistance in pre-sales processes.

The AI Research Scientist will explore and implement advanced AI architectures and techniques in various domains such as image, video, language, and audio. Responsibilities include conducting research, developing new algorithms, building AI engineering pipelines, documenting findings, publishing research, and collaborating on model deployment.

Lead finance analytics consulting projects, develop advanced financial models, mentor a team, collaborate on digital transformation strategies, and improve clients' financial performance through data analysis and technology integration.

The Lead DevOps role at Fractal involves planning, designing, and developing Azure infrastructure solutions, collaborating with clients to meet their operational needs, mentoring teams, and ensuring cloud security and compliance. Responsibilities include managing cloud optimization and the implementation of DevSecOps frameworks, as well as hands-on work with container technologies and CI/CD tools.

The MIS Reporting role involves advanced data analysis and reporting using Microsoft Excel, focusing on data integrity and providing actionable insights. Responsibilities include maintaining reports, collaborating with HR on metrics, and identifying process improvements for better efficiency in data management.

The Python Automation Test Engineer will develop and implement a quality assurance framework, assist in creating test plans and cases, manage daily QA activities, collaborate with stakeholders, and oversee automation and manual testing processes live on platform releases.

The Cloud Platform Engineer designs, implements, and tests cloud infrastructure focusing on automation using DevOps best practices. Responsibilities include managing cloud services, writing production-quality code, deploying serverless applications, and collaborating with engineers to deliver high-quality products.

The Principal Solution Architect at Fractal will lead the design and implementation of scalable data and analytics solutions, ensuring alignment with client objectives. Responsibilities include developing data frameworks, managing architecture for large projects, and collaborating with stakeholders to drive insights-driven decision-making and best practices in analytics and cloud technologies.

The Lead Platform Engineer at Fractal is responsible for developing and maintaining DevOps tooling and infrastructure to support seamless software delivery. Key tasks include architecting GCP setups, implementing security frameworks, designing CI/CD pipelines, and optimizing cloud operations while mentoring team members and driving innovation in platform capabilities.

The Executive Assistant will support the CFO by managing schedules, acting as a liaison among stakeholders, handling administrative tasks, arranging travel, and managing invoices and expenses. The role requires strong multitasking and organizational skills in a fast-paced environment.

As a Data Engineer, you will design and maintain data pipelines using Snowflake and DBT, perform ETL processes, and ensure data quality and consistency. Your role will involve collaboration with data analysts and engineers to optimize workflows and implement best practices for data management. You'll leverage your AWS experience to enhance cloud-based data solutions.

As a Senior Consultant - Power Platforms Specialist, you will develop and enhance complex Power BI dashboards and create automations with Power Automate. Responsibilities include data manipulation with M Language, DAX evaluations, optimizing existing code, and generating business reports for senior leadership, along with mentoring junior team members.

The Lead Data Architect - Azure will be integral in large-scale client engagements, developing software and systems for end-to-end execution, and managing technology architecture and engineering teams. Responsibilities include working throughout the SDLC, building complex technology projects, and fostering innovation in data engineering solutions.

The Technical Project Manager will lead end-to-end technical projects, manage large programs with cross-market rollouts, and guide teams in designing cloud solutions on Azure. Responsibilities include translating business requirements, implementing Agile and DevOps practices, and overseeing complex technology projects on DRL and machine-led modeling systems. The role requires strong experience in data engineering and full-stack projects, and involves leadership and stakeholder management.

As a Fullstack Engineer, you'll manage and develop backend and frontend components for Data to Decision projects, collaborate with data science teams, create dynamic visualizations, and handle UAT and application troubleshooting. You'll work within a fullstack team to build enterprise web applications.