Data Steward Jobs

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as personal and business bank accounts, we offer joint accounts , accounts for 16-17 year olds , a free kids account and credit cards in the UK, with more exciting things to come beyond. Our UK customers can also save , invest and combine their pensions with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍 London or Barcelona | UK remote | 💰 £124,400 - 165,000 + Incentive Awards tied to your performance + Benefits | Technology — Data We’re looking for a Staff Data Scientist excited to help build the bank of the future. This is a senior individual contributor role for someone who combines deep technical expertise with strong commercial judgement and can apply both to Monzo’s most important and complex challenges. At Monzo, we’re building a bank that is fair, transparent and a delight to use. We’re growing extremely fast and have over 11 million customers in the UK. We’ve built a product that people love and more than 80% of our growth comes from word of mouth and referrals. Enable Monzo to Make Better Decisions, Faster We have a strong culture of data-driven decision making across the whole company. And we’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker, which gives data scientists the headspace to focus on more impactful business questions and ana

NK Securities Research is a leading financial firm that leverages cutting-edge technology and sophisticated algorithms to trade the financial markets. Founded in 2011, we have gained invaluable experience in the field of High-Frequency Trading (HFT) across different asset classes. About the Role: We are looking for a Data Engineer to join our team at NK Securities. Data is at the core of everything we do, and this role will own how we source, store, validate, and understand it. You'll build reliable pipelines that bring data in from external sources, make sure it's clean and trustworthy, and dig into it to surface insights and issues before they become problems. You'll work closely with our trading, research, and tech teams. This is a high-ownership role for someone who cares about getting the details right and wants to grow into a key part of our data infrastructure. What You'll Do: Build and maintain pipelines to ingest data from multiple external sources, designed to be scalable and source-agnostic Design and implement data quality checks so that issues are caught early and automatically Handle data cleaning, missing values, and inconsistencies so downstream users can rely on the data Perform statistical analysis to identify anomalies, trends, and irregularities, and share clear reports with the team Maintain and manage databases, including backups, storage, and overall data health Develop a deep understanding of the datasets we use and serve as the go-to person for data-related questions Coordinate with internal teams and external providers to resolve data issues What We're Looking For: Strong programming skills in Python Good understanding of SQL and working with databases Familiarity with working with APIs and handling different data formats Solid foundation in statistics and data analysis Strong attention to detail and a habit of questioning data that doesn't look right Ownership mindset: you take responsibility for data being correct and available on time Ca

Our Global Structure Deliveroo is now part of DoorDash, bringing together teams with even greater reach, scale, and ambition. Depending on your role, you may collaborate with teammates, systems, and leaders across DoorDash and Wolt. Together, we’re unlocking new possibilities as one global team. The Data & Science Org At Deliveroo we have an outstanding data science organisation, with a mission to enable the highest quality human and machine decision-making. We work throughout the company - in product, business and platform teams - using analysis, experimentation, causal inference and machine learning techniques. We are uniquely placed to use data to help make better decisions and improve data literacy across Deliveroo. Data Scientists at Deliveroo report into our data science management team, and we have a highly active data science community, with guest lecturers, study groups, mentorship programmes, a robust technical review process, and plenty of opportunities to learn new things. Data Scientists can equally progress as technical leads (individual contributors) and as people managers. Our data scientists come from all kinds of backgrounds but have excellence in common. Many are formally trained in data science, many are not. We celebrate difference and have a dedicated data science diversity committee. As an Economist at Deliveroo you will help scale our business and improve the experience for restaurants, riders, and eaters. Using experimental or observational data, you will get to help answer questions like: Which markets/cities should we enter next? How can we incentivise good rider behaviour? What is the business impact of exclusive deals we have with restaurants? Can the Delivery food market sustain multiple players? What are the trade-offs we face when choosing between growth and profitability? How should we decide between them? What is the optimum selection and variety of restaurants? What impact do online reviews have? How will a change in the user i

About the Role We are hiring a Data Scientist to help build OpenAI's B2B ecosystem and go-to-market data science capability. You will turn ambiguous commercial questions into evidence, recommendations, and operating decisions that help OpenAI understand where to focus as our B2B business expands. OpenAI's B2B motion is growing quickly across products, customer segments, markets, and field teams. This role will partner with leaders across GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science to answer questions tied to international strategy, monetization, product penetration, field deployment, customer opportunity, and organizational design. This is a founding-style opportunity within the broader GTM Data Science organization. The team and stakeholder model are still evolving, so you should be energized by building structure in ambiguity, helping define how the team works, and helping shape the bench around a high-priority commercial area. In this role, you will bring data science craft, consulting-style problem solving, practical AI fluency, and strong business judgment to help senior leaders make better B2B decisions. In this role, you will: Structure ambiguous B2B and go-to-market questions into clear operational plans, identifying the decision at stake, the evidence needed, and how insights will translate into action. Lead strategic deep dives across international expansion, monetization, product penetration, customer segmentation, field deployment, ecosystem dynamics, and organizational design. Analyze product usage, customer behavior, adoption patterns, sales and field activity, pipeline and revenue signals, and market context to identify the drivers of B2B growth. Partner closely with GTM, Revenue, Product, Finance, RevOps, Strategy, and Data Science leaders to turn analysis into prioritization decisions, field plays, investment choices, and operating cadences. Communicate complex findings to executives and cross-functional partners with crisp re

About Anthropic Anthropic’s mission is to create reliable, interpretable, and steerable AI systems. We want AI to be safe and beneficial for our users and for society as a whole. Our team is a quickly growing group of committed researchers, engineers, policy experts, and business leaders working together to build beneficial AI systems. About the role As a Repairs Lead within the Data Center Infrastructure organization, you will define and manage the end-to-end hardware repair program across Anthropic's growing fleet of data centers. You will be accountable for repair turnaround time and the compute returned to service across every site, covering server, GPU/accelerator, network, and optics break-fix, RMA and reverse logistics with OEMs and ODMs, and the spares and repair inventory that keeps repair SLAs achievable. As a subject matter expert in hardware operations, you will develop scalable repair processes and quality targets, set the standards that site operations partners and repair vendors execute against, and turn failure trends into fixes which are driven upstream with engineering and equipment partners. If you are experienced in at-scale datacenter hardware operations, are passionate about HPC data centers, & enjoy working in complex, fast-paced environments, we welcome you to apply. Responsibilities Include: Define the global repair strategy including repair SLAs, prioritization rules, escalation paths, and reporting methods, and drive standardization across all sites. Own repair turnaround time and repair backlog across the fleet evidenced by Anthropic-owned ticket and telemetry dashboards you help develop. Author and improve procedures for triage, break-fix, return-to-service validation, and train site operations partners on how to execute them. Manage RMA and reverse logistics programs with OEMs, ODMs, and depot repair vendors, including warranty claims, return cycle times, and failure analysis feedback. Set spares pool sizing and stocking levels by s

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 over 100 global organizations, Capco operates at the intersection of business and technology by combining innovative thinking with deep industry expertise to deliver end-to-end, data-driven solutions across banking, payments, capital markets, wealth and asset management, insurance, and energy. Capco’s innovation is driven through its collaborative culture, Innovation Labs, and commitment to empowering diverse talent to thrive. Role Summary The Tech Lead plays a key role in leading the design and delivery of scalable, secure, and high-performing technology solutions. This is a hands-on leadership role combining strong software engineering and solution design skills with a solid understanding of data and modern data platforms. Working across the Software Development Lifecycle (SDLC), the Tech Lead works closely with business, product, architecture, and engineering teams to translate requirements into practical technical solutions, guide implementation, and ensure high-quality delivery within Agile environments. What You’ll Do Lead technical design and delivery across applications, integrations, and data-driven solutions Translate business requirements into scalable, maintainable technical solutions Provide hands-on technical leadership, including design and code reviews, troubleshooting, and implementation guidance Define and apply engineering standards, architectural patterns, and development best practices Collaborate with business, product, architecture, engineering, and infrastructure teams throughout the delivery lifecycle Design and build solutions across cloud, on-premise, and hybrid environments Guide application and integration design using APIs, microservices, messaging, and event-driven approaches Apply strong data fundamentals including data mode

Own end-to-end delivery of AI and advanced analytics solutions for Adani businesses — from business problem definition and data validation, through model development and deployment, to performance reporting and stakeholder adoption. The role converts complex operational problems across power, utilities, cement, airports, HR and physical security into deployable forecasting, optimization, computer vision, and NLP solutions that create measurable business value. Source: Adani Group | Job ID: 59262

We're transforming the grocery industry At Instacart, we invite the world to share love through food because we believe everyone should have access to the food they love and more time to enjoy it together. Where others see a simple need for grocery delivery, we see exciting complexity and endless opportunity to serve the varied needs of our community. We work to deliver an essential service that customers rely on to get their groceries and household goods, while also offering safe and flexible earnings opportunities to Instacart Personal Shoppers. Instacart has become a lifeline for millions of people, and we’re building the team to help push our shopping cart forward. If you’re ready to do the best work of your life, come join our table. Instacart is a Flex First team There’s no one-size fits all approach to how we do our best work. Our employees have the flexibility to choose where they do their best work—whether it’s from home, an office, or your favorite coffee shop—while staying connected and building community through regular in-person events. Learn more about our flexible approach to where we work. Overview At Instacart, we're transforming the grocery industry through technology and AI-powered solutions. The Data Operations team partners closely with Product, Engineering, and Machine Learning to build scalable operational processes and high-quality datasets that power advanced AI technologies, including computer vision and machine learning. We're looking for a Data Operations Manager to lead cross-functional operational initiatives from concept to production. This role combines technical understanding with operational execution, requiring strong ownership, project leadership, and the ability to influence across teams in a fast-paced environment. About the Job Design, implement, and scale operational processes that support onboarding, ongoing operations, and future growth. Lead end-to-end technical implementation projects across product, engineeri

At Lyft, our purpose is to serve and connect. We aim to achieve this by cultivating a work environment where all team members belong and have the opportunity to thrive. As a Data Scientist on the Mapping team, you will collaborate with our world class team of engineers, product managers, and designers to grow and improve the quality of recommended routes and accuracy of our travel time estimations. We're looking for a passionate, driven Data Scientist who is excited to dive into our spatial data and build a best-in-class mapping product that provides safe, efficient, and seamless navigation for our rideshare drivers. Data Science is at the heart of Lyft’s products and decision-making. You will leverage data and rigorous, analytical thinking to shape our mapping products and make business decisions that put our customers first. This will involve identifying and scoping opportunities, shaping priorities, recommending technical solutions, designing experiments, and measuring the impact of new features. You will help us solve some of the most impactful problems in mapping, including: How do we improve the quality of our map data in order to improve our recommendations? How do we benchmark and measure the success of our services? How do we validate features of the real world that affect our routing algorithms? Are we meeting our travel estimation promises to our customers? Responsibilities: Leverage data and analytic frameworks to identify opportunities for growth and efficiency Partner with product managers, engineers, and operators to translate analytical insights into decisions and action, and implement products to drive business goals Design and analyze online experiments; communicate results and act on launch decisions Develop analytical frameworks to monitor business and product performance Establish metrics that measure the health of our products, as well as rider and driver experience Identify and drive impact and alignment, shaping product and business strategy

About Us At Cloudflare, we are on a mission to help build a better Internet. Today the company runs one of the world’s largest networks that powers millions of websites and other Internet properties for customers ranging from individual bloggers to SMBs to Fortune 500 companies. Cloudflare protects and accelerates any Internet application online without adding hardware, installing software, or changing a line of code. Internet properties powered by Cloudflare all have web traffic routed through its intelligent global network, which gets smarter with every request. As a result, they see significant improvement in performance and a decrease in spam and other attacks. Cloudflare was named to Entrepreneur Magazine’s Top Company Cultures list and ranked among the World’s Most Innovative Companies by Fast Company. At Cloudflare, we’re not looking for people who wait for a polished roadmap; we’re looking for the builders who see the cracks in the Internet that everyone else has simply learned to live with. We value candidates who have the instinct to spot a "normalized" problem and the AI-native curiosity to create a solution using the latest tools. Our culture is built on iteration, leveraging AI to ship faster today to make it better tomorrow, while ensuring that every improvement, no matter how small, is shared across the team to lift everyone up. If you’re the type of person who values curiosity over bureaucracy, and that AI is a partner in solving tough problems to keep the Internet moving forward, you’ll fit right in. Available Locations: San Francisco, Austin, Seattle, or New York About the Role The Data Center Strategy team needs a site-selection manager who has closed NNN and wholesale leases at MW scale. You find the site, underwrite it, and get the paper signed. The binding constraint is usually power: available MW, interconnection, substation work, and when the site actually energizes. You also have to be right about land or campus control, fiber, water, flood

Our Mission You call. You wait. You call again. In every other part of your life, you book in seconds. In healthcare, you’re blocked. We’re here to give power to the patient. For nearly 20 years, we’ve built the leading healthcare marketplace - helping tens of millions of people find and book the care they need. Now, we’re going further: building our infrastructure beyond Zocdoc’s marketplace to power access to care wherever patients search, from provider websites and insurance directories to search engines, AI platforms, and more. Healthcare still lacks something every other major consumer industry takes for granted: a seamless way to go from seeking to getting . We don’t want to own the front door to care; there isn't one. We want to make sure all of those doors open when patients are knocking. Fixing healthcare starts with fixing access to it. And we're still just getting started. Your Impact on our Mission: Zocdoc is hiring a Senior Software Engineer to build the data platform that connects our products with analytics, machine learning, and operational systems. This role sits on the Data Engineering team at the boundary of backend engineering and data infrastructure. You will build APIs, libraries, schemas, services, and supported workflows that help engineers publish and use data safely. Your work will cover the path from source-defined contracts and validation through reliable event and batch delivery to data activation in products and business systems. You will help make quality, ownership, observability, and privacy part of the platform, while giving teams a clearer path to ship without depending on Data Engineering for every integration. You’ll enjoy this role if you are… Excited to build platform products for other engineers, turning ambiguous problems into practical APIs, SDKs, shared libraries, command-line tools, and services that you also help operate. Interested in the full lifecycle of data, including how it is defined

Who We Are Addepar is a global data and AI platform empowering investment professionals to turn complex financial information into actionable intelligence. Addepar unifies portfolio, market and client data in a total portfolio view and delivers AI-powered insights within investment and client workflows. More than 1,500 firms in 60 countries use Addepar to manage and advise on nearly $10 trillion in assets. Its open platform integrates with 650 software, data and consulting partners to power end-to-end investment operations across firms of all sizes and levels of complexity. Addepar supports clients worldwide with offices in New York City, Salt Lake City, São Paulo, London, Edinburgh, Geneva, Warsaw, Dubai, Pune and Singapore. The Role As a Senior Data Solutions Consultant, you will lead some of Addepar’s complex and high-touch client data implementation projects. You’ll design scalable solutions to transform and integrate clients’ portfolio data into Addepar, consult with clients on sophisticated investment data challenges, and serve as a subject-matter expert across both technical and business domains. You’ll also be among the first members of the Data Solutions team based in India , helping establish our presence in the region while working closely with colleagues across the U.S., U.K., and other global offices. This is a collaborative role offering the opportunity to shape our operating model locally and strengthen how our global teams deliver together. Beyond client delivery, you’ll also drive internal innovation; developing automation, tooling, and best practices that enable scale and elevate how we operate globally. This is a senior individual contributor position for someone who thrives at the intersection of finance, data, and technology, and is excited to make a global impact from India. Applicants must have legal authorization to work in the country where this role is based on the first day of employment. Visa sponsorship is not available

Spaulding Ridge is an advisory and IT implementation firm. We help global organizations get financial clarity into the complex, daily sales, and operational decisions that impact profitable revenue generations, efficient operational performance, and reliable financial management. At Spaulding Ridge, we believe all business is personal. Core to our values is our relationships with our clients, our business partners, our team, and the global community. Our employees dedicate their time to helping our clients transform their business, from strategy through implementation and business transformation. What You Will Do and Learn As a Senior Associate in data Solutions, you’ll be responsible for pre-sales, estimation, scoping, designing, implementing, and testing proposed modern analytic solutions. Working closely with our client partners, you’ll develop relationships with key technical resources while delivering tangible business outcomes. Ideal candidates will be able to: Ability to manage projects and teams against planned work. Responsible for managing the day-to-day client relationship on projects. Manage the Data Engineering lifecycle including research, proof of concepts, architecture, design, development, testing, deployment, and maintenance. Collaborate with team members to design and implement technology that aligns with client business objectives. Build proof of concepts for a modern analytics stack supporting a variety of cloud-based business systems for potential clients. Team management experience and ability to manage, mentor, and develop talent of assigned junior resources. Create actionable recommendations based on identified platform, structural and/or logic problems. Communicate and demonstrate a clear understanding of client business needs, goals, and objectives. Collaborate with other architects on solution designs and recommendations. Assess client data environments and recommend scalable analytics and data engineering solutions. Des

Job Title: GCP Data Engineer About Us “Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount . With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO? You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. Location - Bangalore , Hyderabad , Chennai Min 8-12 years of hands-on experience in GCP Data Engineering designing, building and supporting distributed systems and large-scale data processing systems in production with a proven track record. Expertise in GCP Data Products e.g. BigQuery, Dataflow, Cloud Storage, Pub/Sub, and Cloud Composer, Apache Kafka Good hands on experience to Build Batch Data and Streaming Data Pipelines on Google Cloud Strong coding/scripting experience developed in a commercial/industry setting ( Python, SQL, Java, Scala or Go ). Strong SQL ability to write complex queries is must; Strong working

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。" 职位介绍 【职位描述】 · 在公司既定的数据治理框架、全球标准和操作流程下，执行中国市场核心数据的日常处理、质量检查和维护工作，支持业务和产品的数据需求，确保所负责数据的准确性、一致性和可追溯性。 · 按照既定的企业注册数据处理规则和操作指引开展工作，识别并反馈规则或流程中的问题；在上级或资深同事指导下，协助更新操作指引和测试改进方案。 · 参与跨来源数据整合，按照既定方案完成数据整理、核对和异常反馈，支持不同系统间的数据一致性。 按照既定的数据质量控制机制执行验证、去重、匹配、数据统计和结果核查，并按流程记录和升级异常情况。 根据已明确的业务需求和既定数据方案，完成数据处理、结果验证、质量检查和交付；对需求不清或超出既定范围的事项及时升级确认。 · 使用公司批准的自动化、规则化及AI工具支持数据处理、质量检查和异常识别；协助开展工具测试、结果验证和问题反馈。 · 根据需要分享日常操作经验和已验证的工作方法，支持团队内部知识交流。 · 对所分配的工作量、产出目标及工作质量承担责任（具体要求将根据公司阶段性业务需求及实际运营情况进行相应更新与调整）。 · 上级主管或公司要求员工执行的与岗位相关的其他工作内容 【任职要求】 EXPERIENCE, KNOWLEDGE, SKILLS, ABILITIES: List the experience, knowledge, skills and abilities necessary to do the job in a fully competent manner · 本科及以上学历；具备信息管理、计算机科学、数据管理或其他相关专业背景。 · 具备1–3年数据处理、数据管理、数据运营或相关领域工作经验。 · 了解数据治理、主数据管理、数据质量管理等基本概念及方法。 · 具备数据整理、分析及质量核查能力，能够按照既定规则开展数据处理工作。 · 能够理解基础数据结构和业务逻辑，并在指导下按照既定方案完成数据处理工作。 · 具备使用Excel、Access、SQL、Python或类似工具开展数据处理工作的能力。 熟练使用Excel或类似工具开展基础数据整理和核查；具备Access、SQL、Python或其他数据处理工具经验者优先。 · 具备学习和使用公司批准的自动化或AI工具的能力，能够按照指导完成基础应用、结果核查和问题反馈。 · 了解自动化或AI工具在数据清洗、实体匹配、质量检查和文本处理等场景中的基础应用者优先。 · 具备良好的沟通协作能力，能够与业务及技术团队开展协同工作。 · 具备主动学习意识、责任意识及团队协作精神。 · 具备基本英文阅读和书写能力，能够满足岗位工作需要。 申请指南 如您要申请该职位，请点击“申请该职位”按钮。屏幕将跳转至新的页面，显示以下字段：简历、全名、电子邮箱、电话号码和当前供职公司。您可以选择提供关联至您的Linkedin、GitHub、portfolio、Twitter或其它网站的链接。您也可以在“附加信息”中添加推荐信、更多个人信息或您对该职位的意向。最后，请点击“提交申请”按钮以完成申请。我们期待您的申请！ --- All Dun & Bradstreet job postings can be found at https://jobs.lever.co/dnb. Official communication from Dun & Bradstreet will come from an email address ending in @dnb.com. Notice to Applicants: Please be advised that this job posting page is hosted and powered by Lever, a subsidiary of Employ Inc. Your use of this page is subject to Employ's Privacy Notice and Cookie Policy, which governs the processing of visitor data on this platform.