BI & Data Manager

Planning and Control Planner

Technical Delivery Manager ( Actimize ) - Comp Tech – VP2

Consultant, Data Analytics & Reporting-Food

Senior Production Support Engineer – IDM Engineering (VP2)

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

AVP, Digital Analytics

Sr. Application Developer

Responsibilities: Data Engineering &amp; Platform Development: <ul><li>Design, build and optimise enterprise data platforms using Microsoft Fabric (Lakehouse, Data Factory, Warehouse and Real-Time Analytics).</li><li>Develop scalable ETL/ELT pipelines supporting both batch and real-time data processing.</li><li>Optimise data storage, transformation and query performance across enterprise platforms.</li><li>Build reusable semantic models and scalable data products supporting enterprise analytics.</li></ul> Business Intelligence &amp; Analytics: <ul><li>Develop enterprise reporting and dashboard solutions using Power BI, Power Query, SQL and DAX.</li><li>Translate complex business requirements into scalable technical data solutions.</li><li>Enable self-service analytics while maintaining strong governance and platform performance.</li><li>Leverage Python where required for advanced analytics and data manipulation.</li></ul> Data Architecture &amp; Governance: <ul><li>Design scalable enterprise data models using modern architecture principles.</li><li>Drive enterprise-wide data governance, master data management, and data quality initiatives.</li><li>Implement data lineage, cataloguing, security, and regulatory compliance standards.</li><li>Establish best practices around data standards, access control, and governance.</li></ul> Technical Leadership: <ul><li>Lead and mentor a team of BI Developers and Data Engineers while remaining hands-on.</li><li>Own end-to-end delivery of enterprise data solutions from design through deployment and optimisation.</li><li>Conduct technical reviews and establish engineering best practices.</li><li>Collaborate closely with IT, Manufacturing, Operations, and business stakeholders to deliver scalable enterprise solutions.</li></ul> Requiremnents: <ul><li>8+ years of experience in Data Engineering, Enterprise Data Platforms or Business Intelligence.</li><li>Strong hands-on expertise with Microsoft Fabric (mandatory).</li><li>Proven experience working with SAP CDS Views, ideally within SAP S/4HANA environments (mandatory).</li><li>Experience integrating SAP with Manufacturing Execution Systems (MES) and other enterprise applications.</li><li>Strong manufacturing industry experience.</li><li>Advanced SQL, data modelling, and Power BI expertise.</li><li>Experience with Azure-based data platforms and modern Data Engineering practices.</li><li>Experience leading technical teams while remaining actively involved in solution design and development.</li><li>Excellent stakeholder management, communication, and problem-solving skills.</li></ul>

Responsibilities: <ul><li>Employees must specialize in planning activities involving production control, inventory control, process control, shop floor control, and Material Resources Planning (MRP) integrity.</li><li>Maintain SAP Production Order release schedules to ensure material is available on time for manufacturing and engineering.</li><li>Reschedule and/or TECO work orders as required to support production priorities.</li><li>Improve component availability at the time of release by performing pre-shortage analysis.</li><li>Perform work order variance analysis and recommend corrective actions.</li><li>Review MRP execution to ensure data accuracy, reconcile supply and demand, and validate master scheduling and PDS requirements.</li><li>Review and ensure proper disposition of Engineering Change Orders (ECOs) and Engineering Change Requests (ECRs); prepare status reports for all active ECOs/ECRs.</li><li>Participate in floor audits with Finance and resolve Work-in-Progress (WIP) issues.</li><li>Attend production meetings and provide updates on material shortages and committed delivery dates.</li><li>Collaborate with engineering teams to manage materials for special engineering projects.</li><li>Support work centers with shop floor control activities as needed.</li><li>Analyze inventory usage and stock levels to maintain target inventory and meet service level requirements.</li><li>Expedite material shortages and forecast spare parts requirements where applicable.</li><li>Investigate material variances, resolve operational issues, and escalate complex problems to management.</li><li>Support the implementation or enhancement of inventory management systems and assign expediting activities where required.</li><li>Manage obsolete inventory and recommend disposition strategies.</li><li>Participate in process improvement initiatives by identifying root causes through PCI reporting and driving corrective actions.</li><li>Support cycle counting activities to maintain inventory accuracy.</li><li>Perform data analysis, forecasting, and ad hoc statistical analysis using structured and unstructured data sources.</li><li>Develop dashboards and visualizations using Tableau to support business decision-making.</li><li>Work closely with business stakeholders to gather requirements and translate data into actionable insights using Python, SQL, or equivalent analytical tools.</li><li>Serve as a subject matter expert on project teams for data consolidation, reporting, and process improvement initiatives.</li></ul> Requirements: <ul><li>Experience: 3–7 years.</li><li>Role Level: B2/B3 Individual Contributor (IC).</li><li>Strong English communication is essential. </li><li>Candidates must demonstrate ability to communicate effectively with multiple stakeholders.&nbsp;</li></ul>

Responsibilities: <ul><li>Plan technical deliverables (including any system enhancements and upgrades) to meet project’s requirements within allocated budget and schedule</li><li>Plan &amp; collaborate across different application teams to manage technical dependencies of the solution</li><li>Plan, monitor and manage risks/issues related to technical delivery</li><li>Provide status update related to technical delivery to Project Manager (PM)/ Program Manager</li><li>Partner with System Analysts, Functional Business Analysts and SME’s to collate, understand and finalize functional and technical requirements</li><li>Provide Systems input to specification phase (effort estimates, high level delivery plan) based on impact assessment etc</li><li>Partner with Development Manager in managing application teams to build the enhancements</li><li>Partner with Test Manager to ensure completion of System Integration Testing (SIT), User Acceptance Testing (UAT), performance / load testing and application security testing with quality results</li><li>Prepare and manage technical implementation plan across application teams - coordinate technical implementation activities across application teams to ensure non-event production cutover and adequate post implementation support</li><li>Escalate issues that impacts project schedule on timely basis and propose workarounds/resolutions</li><li>Provide timely updates and report to management.</li></ul> Requirements: <ul><li>Degree in Computer Science, Engineering or similar domain; Additional professional/technical qualifications will be advantageous although not mandatory</li><li>Proven working experience in project delivery or equivalent role with at least 6 years’ relevant experience in large and complex organizations preferably in the area of Banking and Finance.</li><li>Leadership experience in managing IT delivery teams and implementing large-scale project</li><li>Experience in actual systems development work, with prior coding, functional and technical specifications, systems development and testing experience Tools - JIRA, Confluence, MS Project, Excel, Visio</li><li>Good knowledge in AML policies, procedures, products and industry practices preferred</li><li>Good understanding and experience in software development cycle (Waterfall or Agile best practices)</li><li>Highly effective communicating with technical stakeholders, proficient communicating with non-technical stakeholders</li><li>Good problem solving, analytical, synthesis, system thinking and solutioning skills</li><li>Strong negotiation skills and vendor management skills</li><li>Experience in vendor product management will be an added advantage</li><li>Proficient knowledge in SQL/Oracle and/or Compliance related capabilities</li><li>Experience with UNIX and/or Windows operating system will be an added advantage</li></ul>

Responsibilities: <ul><li>Data Analysis: Collects, transforms, and analyzes data from multiple sources to identify trends, patterns, anomalies, and actionable insights that support reporting, performance tracking, and decision making.</li><li>Reporting &amp; Visualization: Implements detailed reports and dashboards using various tools, designs and completes data visualizations to communicate moderately complex data clearly.</li><li>Data Modeling &amp; Automation: Supports data models, reporting logic, and workflow automation, while identifying and implementing opportunities to improve data collection and reporting processes using standard data management and reporting practices.</li><li>Advanced Analytics Awareness: Familiarity with predictive analytics, AI/ML, and data science concepts to support evolving analytics solutions.</li><li>Data Quality &amp; Requirement Support: Validates data, supports reporting requirements, and helps ensure the accuracy and consistency of analytics solutions.</li></ul> Requirements: <ul><li>Bachelor’s degree in a related field such as Data Science, Statistics, Computer Science, Business Analytics, or a related discipline, or equivalent practical experience.&nbsp;</li><li>Minimum of 3-4 years of relevant work experience in data analytics, reporting, or business intelligence roles.</li><li>Strong skills in analyzing data and translating reporting needs into effective analytics solutions and insights.</li><li>Very strong skills in Power BI and data visualization.</li><li>Proficiency in SQL, Excel, Power Query, and related tools such as VBA or Python for analysis, modelling, and visualization.</li><li>Working knowledge of data warehousing, data lakes, and cloud data platforms such as Snowflake or AWS.</li><li>Experience automating workflows and building low-code solutions using Power Platform tools such as Power Automate and Power Apps.</li><li>Familiarity with (predictive) analytics, AI/ML and data science.</li><li>Business understanding and financial acumen to interpret data and generate practical insights.</li><li>Comfortable working in agile ways of working, managing multiple priorities, and contributing effectively both independently and in a team environment.</li></ul>

Responsibilities: <ul><li>Engage in day-to-day support activities including incident and problem management</li><li>Perform production deployments, patch activities on the supported applications and servers.</li><li>Work with product support/development team for permanent resolution/change review – all types including enhancements, bug fixes, etc.</li><li>Work with level 1 support in application knowledge transfer in establishing standard first level recovery process/system health check monitoring/scheduled activities as well as common application user queries.</li><li>Collaborate with internal stakeholders like application, business, infrastructure, security, and operations to continuously improve the stability of applications.</li><li>Develop support operational documents to summarize common support issues.</li><li>Develop reports and drive audit RFI’s and requirements.</li><li>Develop Linux scripts based on the requirements.</li><li>Provide after office hours’ standby support and for emergency recoveries, including managing major incident of critical services.</li><li>Expected to drive improvements through influence and strong relationships with managers in other teams.</li><li>Correlate events across multiple systems to proactively surface and resolve deep, underlying issues.</li></ul> Requirements: <ul><li>Diploma/Degree in engineering/Computer Science / IT/Cyber Security from a recognized education institution</li><li>Professional qualification in information security, such as CISSP / CISM / CEH, or data Security product certifications will be advantageous.</li><li>9 to 12 years relevant experience</li><li>Strong working knowledge on Oracle Identity Governance 12c, Oracle Database, WebLogic, BI Publisher, Oracle Connectors, Linux, Unix &amp; Windows Enterprise Server OS, with mixed skills around administration, performance tuning and troubleshooting</li><li>Working knowledge of Python, java, Java Scripts,</li><li>Knowledge in network infrastructure like Load balancers, Firewalls, SSL etc</li><li>Working Knowledge on Directory - LDAP and AD Databases</li><li>Strong knowledge of Oracle SQL and proficient in writing complex SQL queries with hands on experience with reporting tools along with excellent computational ability.</li><li>Strong understanding of cybersecurity principles and frameworks including ISO 27001 &amp; NIST Cybersecurity Framework;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 4 years of relevant work experience. Typically reflects 5 years or more of relevant experience.&nbsp;</li><li>Typically reflects 4 years or more with 3+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Design &amp; Build/Development &amp; Support <ul><li>Develop multi-agent workflow automation patterns using Agentic AI</li><li>Process redesign and mapping to agentic workflow patterns</li><li>Architect scalable micro-services that wrap LLM/RAG/Agent workflows (Python).</li><li>Implement robust prompt-engineering patterns, retrieval pipelines, and caching for AI Assistants and AI Agents</li><li>Profile inference latency, GPU/CPU utilization, and memory</li><li>Writes and maintains highly complex unit tests and integration tests, and performs debugging to maintain the quality and performance of the software/AI solutions</li><li>Lead bug-fix, security-patch, and performance-tuning sprints for live AI Assistants and AI Agents</li><li>Leads the establishment and maintenance of comprehensive documentation for agents, applications, deployment processes and system configurations.</li></ul> Operational Excellence&nbsp;<ul><li>Own on-call runbooks, SLOs, and incident reviews; embed observability</li><li>Leads and mentors technical support and troubleshooting for highly complex issues with deployed applications to ensure minimal downtime and fast resolution.&nbsp;</li></ul> Collaboration &amp; Leadership <ul><li>Leads cross functional team of engineers to gather requirements and deliver solutions that meet business needs.</li><li>Experience working within product and agile delivery frameworks including backlog management and cross-functionality delivery and full E2E engineering.&nbsp;</li><li>Experience with enterprise architecture, data governance, or security standards in the context of digital solution delivery as part of E2E engineering and solution architecture.&nbsp;</li></ul> Capability &amp; Technology Stack Exposure <ul><li>Experience with digital technologies in the commercial &amp; sales management capability (e.g. Salesforce, Service Cloud, CPQ, Salesloft, ChatGPT or similar platforms)&nbsp;</li></ul> Requirements: <ul><li>Minimum requirement of 2 years of building production software or data platforms.&nbsp;</li><li>Typically reflects 3 years or more with 2+ years of cloud-native AI/ML or GenAI systems (Azure, AWS, or GCP) or 2+ years of software development.&nbsp;</li></ul>

Responsibilities: Strategic Leadership: <ul><li>Set the vision and direction for data and AI architecture for project and client.</li><li>Influence enterprise data and AI strategies, driving adoption of best practices in data, ML, and AI architecture.</li><li>Mentor and develop junior architects and engineers, fostering a culture of technical excellence and innovation.</li></ul> Architectural Excellence: <ul><li>Architect and design enterprise-scale data platforms and ML/AI solutions for scalability, reliability, and performance.</li><li>Define and enforce data and ML architecture standards, patterns, and governance frameworks for data pipelines, ML workflows, and analytics platforms.</li><li>Lead solution design for integrating data from diverse sources (streaming, batch, cloud, on-premises) using Azure, AWS, and GCP services.</li></ul> AI &amp; ML Leadership: <ul><li>Architect advanced Data Science, ML and AI solutions, including NLP, RAG LLM and Agentic AI systems.</li><li>Oversee the implementation of MLOps frameworks, ensuring robust deployment, monitoring, and lifecycle management of ML models.</li><li>Evaluate and recommend emerging AI/ML technologies and platforms, driving innovation in intelligent data products.</li><li>Provide Ethical AI leadership to ensure intelligent solutions are implemented when required and in safe methods.</li></ul> Technical Leadership: <ul><li>Oversee data modelling (e.g. medallion architecture), data governance, and quality frameworks. Implementing technical reviews and driving high standards.</li><li>Collaborate with engineering and DevOps teams to establish CI/CD and MLOps architectures using Azure DevOps, Kubernetes, and Terraform.</li><li>Guide the selection and implementation of visualization and analytics tools (Power BI, Tableau, PowerApps).</li></ul> Stakeholder Engagement: <ul><li>Engage with senior stakeholders to translate complex business requirements into technical solutions and strategic roadmaps.</li><li>Ensure all solutions meet security, compliance, and performance standards, and align with enterprise architecture principles.</li></ul> Innovation &amp; Emerging Technologies: <ul><li>Apply modern data and AI architecture patterns (Cloud Native, Steaming/batch ingestion, Agentic AI Design) and leverage platforms such as AI/ML, Big Data, and Data Lakehouse.</li></ul> Requirements: <ul><li>Minimum 8 years’ experience client facing roles specializing in Data and Architecture roles.</li><li>Experience in both Agile and Waterfall project environments.</li><li>Strong stakeholder management and communication skills.</li><li>Security and compliance awareness.</li><li>Industry certifications (e.g., AWS Solution Architect, Azure Data Engineer, GCP Data Engineer).</li><li>Experience mentoring or managing technical teams.</li></ul>

Responsibilities: <ul><li>Lead and deliver Digital Measurement Analytics for Digital Platforms in Agile methodology to drive digital data strategy that includes collection &amp; validation of data and reporting.</li><li>Partner with onsite Stakeholders and various process owners in marketing, technology and digital teams to plan and implement strategic priorities.</li><li>Present analytical results and actionable recommendations to key stakeholders on a recurring cadence, and propose innovative analytics solutions to drive business growth and enhance the customer experience.</li><li>Responsible for team’s effective communication, project deliverables, coaching team on adhering to expected timelines, accuracy &amp; compliance with meticulous project management.</li><li>Lead internal initiatives, perform other duties and/or special projects, as assigned.</li></ul> Requirements: <ul><li>Degree in Statistics, Mathematics, Economics, Engineering, or any other quantitative streams with 4+ years of hands-on relevant Analytics experience.</li><li>Minimum 6+ years of relevant work experience in lieu of specified degree.</li><li>2+ years of experience in Digital or Web Analytics Domain utilizing tools such as Adobe or Google Analytics and 2+ years of experience in SAS or SQL.</li><li>1+ years of Experience in Managing People, Coordinating work, Supervising, Evaluating performance and ensuring employees are trained.</li><li>Minimum 1+ years of experience in Data visualizations tools such as Tableau to drive insights.</li><li>Excellent oral and written communication skills with ability to collaborate, articulate and present solutions cutting across functional/agile teams in a simple yet compelling manner</li></ul>

Responsibilities: <ul><li>Design, develop, and maintain web applications using Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Implement and manage APIs and microservices architecture</li><li>Ensure the performance, quality, and responsiveness of applications</li><li>Identify and correct bottlenecks and fix bugs</li><li>Partner with business stakeholders and operations team to identify and manage KPIs</li><li>Evaluate the performance of processes, services, and outcomes and drive performance improvement</li><li>Independently solve complex issues, lead a team of junior and mid-level developers</li><li>Other duties as assigned</li></ul> Requirements: <ul><li>Bachelor’s degree in computer science, Information Technology, or related field. Minimum of 12-15 years offull stack development related work experience</li><li>Strong oral and written communication skills</li><li>Expert in Java, Spring Boot, React, Redux, and PostgreSQL</li><li>Strong analytical skills with the ability to collect, organize, and analyze data</li><li>Attention to detail and accuracy is critical</li><li>Working knowledge of cloud platforms (e.g., AWS, Azure)</li><li>Adept at presenting findings in MS PowerPoint and MS Word</li></ul>

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43 azure sql Jobs found

BI & Data Manager

Planning and Control Planner

Technical Delivery Manager ( Actimize ) - Comp Tech – VP2

Consultant, Data Analytics & Reporting-Food

Senior Production Support Engineer – IDM Engineering (VP2)

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

AVP, Digital Analytics

Sr. Application Developer

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43 azure sql Jobs found

BI & Data Manager

Planning and Control Planner

Technical Delivery Manager ( Actimize ) - Comp Tech – VP2

Consultant, Data Analytics & Reporting-Food

Senior Production Support Engineer – IDM Engineering (VP2)

Senior Software Engineer AI

Software Engineer AI

Data & ML Architect

AVP, Digital Analytics

Sr. Application Developer

WhiteCrow WhiteCrow is on a mission to connect companies with the best talent across the globe.

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WhiteCrow
WhiteCrow is on a mission to connect companies with the best talent across the globe.