Senior Data Modelling Dataverse Jobs

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

ROLE We are passionate about data. We collaborate to build elegant, effective, scalable and highly reliable solutions to empower predictive modelling in finance. Cubist’s Data Services (CDS) group is looking for a Data Scientist to join our dedicated data team. Our group is responsible for the timely delivery of comprehensive and error-free data to some of the most demanding and successful systematic Portfolio Managers in the world. As a Senior Data Scientist in the team, this individual will play a vital role in ensuring the smooth day-to-day implementation of a large research infrastructure, and the live production trading of billions of dollars of capital across global capital markets, including equities, futures, options and other financial instruments. RESPONSIBILITIES Onboarding novel datasets from a huge variety of sources into our platform Building processes, tools and frameworks to ingest, clean and deliver datasets Analysis of data for usability, cleanliness, feature extraction and proposed usage by investment teams Creation of in-house, value added, derived data products for consumption by investment teams Engaging with vendors and internal stakeholders to understand characteristics of datasets Partnering closely with investment teams to ensure their data requirements are met Research on new technologies (including AI solutions) to continuously improve data management and value-add for investment teams REQUIREMENTS PhD or Masters in Financial Engineering, Statistics, Computer Science or other disciplines involving rigorous quantitative analysis Strong programming skills in Python and SQL Experience working with AWS, Linux and Airflow preferred but not required 5+ years of experience as a Data Scientist or similar role Experience working with large data sets including predictive modeling Financial industry experience preferred but not required Strong organization, communication and interpersonal skills Intellectua

MongoDB is growing its team in Sydney, focusing on building intelligent tools that help customers understand and modernise their application codebases. The Application Modernisation Platform (AMP) guides customers through the entire journey of modernising their applications — from legacy relational platforms to modern, scalable systems built on MongoDB. The App Analysis & Modelling team owns the critical first stage of this journey: building the context that powers everything downstream. The team builds code analysis tools that construct code dependency graphs and generate deep insights for codebases, giving customers a clear understanding of their existing applications before transformation begins. The team also designs schema recommendation engines that analyse signals such as existing relational schemas and query patterns to inform data modelling decisions. Our work sits at the intersection of analysis, data modelling, and AI — helping developers make confident, data-driven decisions as they transition to MongoDB. We are looking for a Senior Software Engineer who is passionate about building scalable backend systems and applications. As we expand our use of AI to power smarter analysis and recommendations, the ideal candidate will bring strong backend engineering fundamentals with the ability to contribute across the full stack. You will collaborate closely with product management and other engineering teams to design and deliver cutting-edge features that guide customers through complex modernisation journeys. We are looking to speak to candidates who are based in Sydney for our hybrid working model. The ideal candidate will have 5+ years of commercial software development experience with strong proficiency in Python and/or Java Extensive Experience designing and building scalable, high-performance APIs and backend services Solid understanding of relational data modelling and SQL (Oracle, PostgreSQL, MySQL, or similar), including schema design and query opti

Why Sony Interactive Entertainment? Sony Interactive Entertainment isn’t just the Best Place to Play — it’s also the Best Place to Work. Sony Interactive Entertainment (SIE) is the company behind the PlayStation brand. As a subsidiary of Sony Group Corporation, we’re part of a proud legacy of innovation and excellence. SIE is a dynamic technology company, delivering cutting-edge hardware and network services to more than 100 million people and an entertainment leader, home to some of the most beloved and recognizable intellectual properties (IP) in the world. Our role at SIE is to create and nurture the experiences under the PlayStation brand, a name synonymous with entertainment excellence and creativity. About the Role We are seeking a Senior Analytics Engineer to help design, build, and scale our analytics platform. This is a hands‑on, high‑impact role suited to someone who enjoys greenfield analytics work, has strong opinions on data modelling and architecture, and partners closely with stakeholders to translate business problems into trusted, well‑governed data products. You will work within the PlayStation Partners Platform, delivering global data, reporting, and analytics solutions that support partners worldwide in developing and publishing games and content on PlayStation. Our mission is to deliver timely, scalable, and high‑quality data and insights that enable data‑driven decision‑making, improve operational efficiency, and uncover revenue opportunities. In this role, you will help shape how analytics is delivered across the organisation, from modelling standards and dbt best practices to the creation of trusted, decision‑ready datasets. What You Will Be Doing Analytics Engineering and Data Modelling Design, build, and maintain analytics‑ready data models using dbt, following best practices such as modularity, reusability, and clear semantic layering. Lead the development of greenfield analytics assets, from raw source ingestion through to curated,

Everpure (NYSE: P) has evolved from storage pioneer to data platform, closing fiscal 2026 with $3.7 billion in revenue, its first billion-dollar quarter, and accelerating growth into FY27. Our strategic agenda spans the companies defining the next era of technology - hyperscalers, AI labs, the AI hardware supply chain, data platform providers, and the broader AI ecosystem. This type of work—work that changes the world—is what the tech industry was founded on. So, if you're ready to seize the endless opportunities and leave your mark, come join us. THE ROLE Our Senior Applied AI Engineer builds and operate production-grade AI systems that extract meaning from large-scale unstructured document collections, enabling enterprise data discovery classification, and governance. This role owns the full lifecycle of graph intelligence solutions — from problem definition and data modelling, to building and enriching knowledge graphs, and deploying ML- and LLM-assisted analytics in production. The focus is on semantic and contextual analysis of unstructured data to uncover relationships, patterns, and insights that support AI safety, security, and compliance requirements. WHAT YOU'LL DO Design, build, and deploy graph-based AI solutions, combining knowledge graphs , LLMs, and ML models applied to large-scale unstructured data Define and own data pipelines that extract, transform, and enrich entity relationships into production-grade knowledge graphs Integrate LLMs and ML models into text processing pipelines for classification, embedding generation, document similarity, and semantic analysis Design, deploy, and operate graph and vector databases to support retrieval, reasoning, and analytics Optimize models and inference pipelines for production constraints including latency, throughput, cost, and infrastructure Deploy, monitor, and iterate on ML systems in production environments ensuring reliability and continuous integration Drive architectural decisions and tech

与邓白氏一起塑造未来 "在邓白氏，我们相信数据能够创造更美好的未来。作为全球最具影响力的商业信息服务机构之一，我们帮助全球企业实现增长、管理风险并推动创新。自1841年以来，企业一直信任我们能将不确定性转化为机遇。我们是一支多元化的全球团队，致力于推动创新与协作，勇于探索前沿理念。你准备好发挥影响力、共同塑造未来了吗？加入我们吧！请访问 dnb.com/careers 探索更多机会。" 职位描述 【职位描述】 PURPOSE OF THE JOB(required for supervisory/managerial job): Summarize why this job exists and the contribution it makes to the overall business of the company As a Senior Consultant, you will be responsible for delivering customer-facing data analytics and consulting projects across commercial credit, risk & compliance, supplier evaluation, customer intelligence, and related business scenarios. By leveraging data analysis, modelling, and business insights, you will help clients identify risks, optimize decision-making, and improve business performance. This role works closely with clients, Product Sales, and Solution Consulting teams to transform data into actionable business value. 高级顾问负责商业信用、风险合规、供应商评价、客户洞察等领域的数据分析与咨询项目交付。通过数据分析、模型构建及业务洞察，帮助客户识别风险、优化决策并提升经营绩效。该岗位需与客户、销售及解决方案团队紧密协作，将数据能力转化为可落地的商业价值。 PRINCIPAL ACCOUNTABILITIES: Describe the major activities of the job, emphasizing the end results which must be achieved (suggest listing from the most important task) · Serve as the subject matter expert for data analytics and modelling workstreams within client projects, ensuring high-quality delivery of analytical outputs and business insights. 作为项目中的数据分析与建模专家，负责相关工作模块的方案设计、分析实施及成果交付，确保分析结果能够有效支撑客户业务决策。 · Work closely with clients to understand business objectives and translate business challenges into analytical frameworks and data-driven solutions. 深入理解客户业务需求，将业务问题转化为分析框架和数据驱动解决方案。 · Perform data extraction, cleansing, validation, integration, and analysis from multiple internal and external data sources. 完成多来源数据的提取、清洗、整合、验证及分析工作。 · Develop analytical models including credit assessment models, risk scoring models, customer segmentatio

eClinical Solutions helps life sciences organizations around the world accelerate clinical development initiatives with expert data services and the elluminate Clinical Data Cloud – the foundation of digital trials. Together, the elluminate platform and digital data services give clients self-service access to all their data from one centralized location plus advanced analytics that help them make smarter, faster business decisions. OVERVIEW The Senior Software Developer will work closely with Product Manager, Implementation Consultants (ICs) and clients to gather requirements to meet the data analysis need of a company or a client. They must have good collaboration skills. The Senior Software Developer will provide direction on analytics aspects to the team on various analytics related activities. KEY TASKS & RESPONSIBILITIES Experienced in Qlik Sense Architecture design and good knowledge on load script implementation and best practices. Hands on experience in Qlik Sense development, dashboarding, data-modelling and reporting techniques. Experienced in data integration through extracting, transforming, and loading (ETL) data from various sources. Good at Data transformation, the creation of QVD files and set analysis. Data Modelling using Dimensional Modelling, Star schema and Snowflake schema. Strong SQL skills (SQL Server) to validate the Qlik sense dashboards and to work on internal applications. Knowledge on deploying of Qlik Sense application using Qlik Management Console (QMC) is a plus. Work with Implementation consultants (ICs), product manager and clients to gather the requirements. Configuration, migration, and support of Qlik Sense applications. Thoughtful implementation of Qlik Sense best practices for efficiency and re-usability. Research and utilize new technologies. Collaborate with the Software Quality Assurance (SQA) team to test the applications functionality. Ensure compliance with eClinical Solutions/industry quality standards,

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We're looking to speak with candidates based in São Paulo for our hybrid working model. As an ideal candidate, you will have 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB Certification What you do at MongoDB You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making t

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We're looking to speak with candidates based in Mexico City for our hybrid working model. As an ideal candidate, you will have 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience As an ideal candidate, you may also have Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB Certification What you do at MongoDB You work with our advisory consulting partners on reference architectures, patterns, and AI blueprints for making

At Trustpilot, we're on an incredible journey. We're a profitable, high-growth FTSE-250 company with a big vision: to become the universal symbol of trust. We run the world's largest open customer review platform, and while we've come a long way, there's still so much exciting work to do. Come join us at the heart of trust! As our Senior People Analytics Manager, you’ll partner with cross-functional teams across the organisation to define and track key metrics, analyse people and business data, and turn complex insights into clear, actionable recommendations that shape people strategies and inform investment decisions. What you’ll be doing: Manage end-to-end analytics and reporting domain delivery, covering everything from data extraction and validation to dashboard creation and insight generation. Discover and implement opportunities to automate analytical processes and minimize manual effort. Help define primary metrics for the people team and set up robust tracking mechanisms. Collaborate with cross-functional partners (such as Finance, Sales, and People) to pinpoint analytical needs, gather required data, and evaluate metric performance. Synthesize complex data analyses into compelling stories for executive and senior leaders to drive strategic decisions. Serve as a technical advisor and subject-matter expert for the people team, enhancing data literacy across the function. Conduct both ad-hoc deep-dive analyses and maintain a regular reporting cadence. Partner with the Senior Director, Reward & Analytics to enhance data tooling, warehousing, and governance. Provide backup and support to the Workforce Planning team during peak workloads or periods of leave. Who you are: Strong background in data modelling, statistical analysis, and business intelligence (BI) and dashboarding tools. Proven ability to thrive in a fast-paced, dynamic environment and manage competing priorities effectively. Exceptional communication skills, with the ability to translate complex

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Sao Paulo for our hybrid working model. As an ideal candidate, you will have: 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience Professional proficiency in speaking and writing Portuguese and English Professional proficiency in speaking and writing Spanish is highly preferred As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider certification A MongoDB

We are looking for passionate technologists to join our Pre-Sales organization to ensure that our growth is grounded and guided by strong technical alignment with our platform and the needs of our customers. MongoDB Pre-Sales Solution Architects are responsible for guiding our customers and partners to design and build reliable, scalable systems using our data platform. Our team is made up of seasoned software architects and developers who take direct responsibility for customer success, including the design of their software, deployment, and operations. You'll work closely with our field partner leaders and play a key role in winning deals and driving the business forward. You'll be a trusted advisor to a wide range of users from startups to the world's largest enterprise IT organizations. We are looking to speak to candidates who are based in Atlanta, Austin, Dallas, Miami for our hybrid working model. As an ideal candidate, you will have: 8+ years of pre-sales experience with enterprise software and technical aptitude Working knowledge and ability to code with one or more modern scripting languages (e.g. Python, Node.js, SQL) and/or popular programming languages (e.g. C/C++, Java, C#) Experience with scalable and highly available distributed systems 2+ years of software development experience Excellent presentation and communication skills The ability to travel up to 50% A Bachelor’s degree or equivalent work experience Professional proficiency in speaking and writing Portuguese and English Professional proficiency in speaking and writing Spanish is highly preferred As an ideal candidate, you may also have: Experience selling databases and/or deploying applications with any of the major cloud providers Experience with database programming and data modelling Knowledge of modern technologies - their function and integration requirements - e.g. Spark, cloud storage/streaming, API mgmt, Kafka, serverless. A cloud provider cer

Capco, a Wipro company, is a global technology and management consultancy specializing in driving digital transformation in the financial services industry. With a growing client portfolio comprising of over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with unrivalled industry knowledge to deliver end-to-end data-driven solutions and fast-track digital initiatives for banking and payments, capital markets, wealth and asset management, insurance, and the energy sector. Capco’s cutting-edge ingenuity is brought to life through its Innovation Labs and award-winning Be Yourself At Work culture and diverse talent. Role Summary As a Data Engineer (Intermediate/Senior) , you will work closely with Data Architects, Business Analysts, BI developers, and client technology teams to design and implement reusable data ingestion and transformation pipelines in Data Lake/Lakehouse implementation programme What You’ll Do Developing batch, CDC and/or streaming data ingestion pipelines from multiple source systems. Implementing Bronze, Silver and Gold data layers , including data cleansing, transformation and standardisation. Developing reusable data pipelines and supporting data product implementation. Implementing data quality, reconciliation, validation and monitoring controls. Supporting data migration, integration testing, UAT and production release. Working with the architecture team to ensure solutions follow agreed cloud, security, governance and engineering standards . Supporting knowledge transfer and BAU handover. What We’re Looking For 4+ years of experience in data engineering or related roles. Strong experience in Databricks, Azure, SQL, Python/PySpark, ETL/ELT, Delta Lake, data modelling, data quality and CI/CD. Experience in financial services especially asset management or large-scale data transformation, would be advantageous. Experience in workong on an end-to-end enterprise da

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! Senior Staff Backend Engineer About the Team We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within engineering. You'll work alongside staff, senior, and early-career engineers, and partner closely with engineering leadership to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to own complex, multi-domain technical problems and shape product direction beyond a single team. We are low on meetings, high on accountability. Most of the teams are in the EST time zone, but we have a few located in AST, PST, and Central as well. What you'll be doing You will play a pivotal role in shaping the technical direction of our application stack across multiple domains. You will lead development efforts for our most complex initiatives, the kind that span two or more teams or product areas, and serve as a technical benchmark for system design, code quality, and long-term maintainability. You'll operate at the intersection of data modelling, business logic, and enterprise-scale reliability, and your work will often set standards that neighboring teams adopt. This remains a hands-on

About Forma.ai: Forma.ai is a Series B startup that's revolutionizing how sales compensation is designed, managed and optimized. We handle billions in annual managed commissions for market leaders like Edmentum, Stryker, and Autodesk. Our growth has been fuelled by our passion for fundamentally changing and shaping how companies use sales intelligence to drive business strategy. We’re welcoming equally driven individuals who are excited about creating something big! Senior Staff Backend Engineer About the Team We build enterprise software that helps organizations optimize sales performance, enabling go-to-market agility. Our engineering organization includes multiple product application teams responsible for delivering core customer-facing capabilities. We are seeking a Senior Staff Backend Engineer to join our application teams and help set technical direction across multiple domains within engineering. You'll work alongside staff, senior, and early-career engineers, and partner closely with engineering leadership to define, evolve, and scale the systems that power enterprise-grade product workflows. This is an opportunity to own complex, multi-domain technical problems and shape product direction beyond a single team. We are low on meetings, high on accountability. Most of the teams are in the EST time zone, but we have a few located in AST, PST, and Central as well. What you'll be doing You will play a pivotal role in shaping the technical direction of our application stack across multiple domains. You will lead development efforts for our most complex initiatives, the kind that span two or more teams or product areas, and serve as a technical benchmark for system design, code quality, and long-term maintainability. You'll operate at the intersection of data modelling, business logic, and enterprise-scale reliability, and your work will often set standards that neighboring teams adopt. This remains a hands-on