Jobs at Fractal

Provide L2/L3 support and enhancements for SAP BW/BW on HANA/BW/4HANA: troubleshoot data loads, process chains, routines, and reporting; perform BW inventory assessment, rationalization, performance tuning, transports, documentation, and support modernization/migration initiatives.

Design, implement, and manage multi-cloud CI/CD pipelines and automation. Use IaC (ARM templates/Terraform) to provision Azure resources, maintain build agents and release pipelines, manage Git repos in Azure DevOps, integrate automated testing, implement monitoring, logging, and security best practices, and collaborate with teams to resolve vulnerabilities.

Lead development, calibration, and operationalization of Market Mix Models (MMM). Build data pipelines, integrate experiments, quantify channel ROI and elasticity, recommend budget allocation via optimization engines, and communicate insights to marketing and senior stakeholders while ensuring reproducibility and continuous model improvement.

Lead NLP and generative AI solutions end-to-end: build intent/entity extraction, classification, summarization, search, and chatbot systems. Design, fine-tune, and evaluate LLMs and traditional NLP models, implement production-ready pipelines, collaborate cross-functionally, and drive client-facing consulting engagements in financial services.

Design, build, and maintain scalable AWS data pipelines and CI/CD for data workflows. Extract and integrate data from SAP HANA, BW, and ABAP. Implement automated deployments, monitor pipelines, resolve incidents, perform root cause analysis, and enforce data governance, security, and performance optimization.

The role involves designing and building data systems using various technologies, especially within Microsoft Azure, and requires experience in system integration and data warehousing.

The Senior Data Scientist will lead AI/ML projects, manage a data science team, implement analytical solutions, and leverage data for business insights.

The Data Modeler is responsible for designing and architecting enterprise data applications, focusing on data modeling, strategy, and warehouse development.

Responsible for architecting and developing full stack enterprise applications, collaborating with multiple teams, and mentoring junior engineers.

Consult with CPG/FMCG clients on Revenue Growth Management analytics programs, focusing on pricing strategies, promotion analysis, and optimizing revenue growth while leading engagements across diverse global markets.

Lead and run enterprise data governance: develop frameworks, policies, metadata and lineage, lead data quality remediation, define stewardship and ownership, ensure regulatory compliance (GDPR/CCPA), set KPIs, train staff, and manage a governance team.

This role involves planning and designing Azure infrastructure, developing cloud solutions, mentoring teams, and ensuring cloud security and compliance.

The Senior Fullstack Engineer will design, develop, and maintain enterprise web applications while collaborating with data teams and managing junior engineers.

Owner of full-stack feature implementation across web, API, cloud, DevOps, and AI-enabled capabilities. Design, build, test, deploy, monitor, and optimize scalable, secure production systems; integrate LLMs and RAG; enforce code quality, mentor juniors, and collaborate with architects, TPMs, product, QA and platform teams.

Advise clients on developing and implementing data governance strategies. Design policies, frameworks, and practices for data quality, privacy, metadata management, and security. Deliver governance projects, build capability with frameworks and accelerators, and promote governance awareness across stakeholders and committees.

The Senior Azure Data Engineer will design, develop, and maintain data infrastructure and pipelines, ensuring data quality, integrity, and alignment with business objectives. Responsibilities include collaborating with teams and establishing best practices for data engineering.

Lead the Business Intelligence center of excellence by managing teams, building BI practices, and optimizing BI solutions using various tools.

The Senior Consultant will lead analytics consulting efforts, manage client relationships, develop analytics solutions, mentor a team, and drive project execution across APAC.

The role involves leading RTM analytics consulting for CPG and Retail clients, formulating strategies, and building client relationships. Requires strong commercial acumen and leadership skills.

Lead design and delivery of enterprise Digital Operations (DigiOps) and data platform solutions using Azure and Databricks. Drive cloud migration, scalable ETL/ELT pipelines, data quality and governance, DevOps/CI-CD, automation, and stakeholder engagement while mentoring cross-functional teams to ensure operational excellence and data-driven decision making.