📍 London/Cardiff/UK Remote | 💰£120,000-£175,000 + Benefits ✨ Our Work Force Management team ⭐ Customer Operations at Monzo is evolving into a real-time control system. We’re moving away from traditional, headcount-driven service models toward a hybrid human + AI system, where automation handles a growing share of customer demand and human expertise is applied where it matters most. In this world, operations is no longer about scheduling people — it’s about continuously matching demand and capacity in real time, across humans and machines, to deliver consistently great service at sustainable cost. This role sits at the centre of that transformation. You’ll design and operate the system that ensures every customer problem is resolved within SLA, while balancing customer experience, cost, and operational resilience — at scale. You’ll work across Operations, Data, ML, Product, and Finance to build a closed-loop system that connects forecasting, planning, routing, and real-time intervention — and continuously improves over time. This is not a traditional Workforce Management role. It’s closer to running a logistics network, marketplace, or real-time service system. 🔑 You’ll play a key role by… - Owning service performance and SLA delivery across Customer Operations - accountable for outcomes, not just inputs - Designing and operating a closed-loop system that connects forecasting, scheduling, routing, and real-time intervention - continuously improving performance through feedback and learning - Building and running a hybrid workforce model (Human + AI) - treating AI and automation as first-class workforce components with their own capacity, performance, and failure modes - Leading demand forecasting and capacity planning, translating complex data into clear, actionable strategies for staffing and system design - Running real-time performance systems - monitoring queues, identifying risks, and leading interventions when SLAs are at risk - Shaping demand in real time through routing, prioritisation, and AI/human channel decisions to protect SLA and optimise system performance - Developing playbooks for operational resilience, including demand spikes, automation failures, and unexpected changes in customer behaviour - Evolving Workforce Management from scheduling to orchestration — building a system-level capability that scales with automation and complexity - Partnering cross-functionally with Ops, Data/ML, Product, and Finance to align service performance, cost, and scaling strategy 🤩 We’d love to hear from you if… - You’ve operated large-scale, real-time supply/demand systems (e.g. marketplaces, logistics networks, or service operations at scale) - You’ve been directly accountable for service levels or SLAs in high-stakes, real-time environments - You have strong operator instincts — able to make fast, high-quality decisions under pressure, balancing customer experience, cost, and risk - You’re highly data fluent - comfortable working with forecasting models, metrics (e.g. MAPE, RMSE), and understanding how ML systems impact operational performance - You can translate model outputs into real-world decisions, not just analysis - You’re a builder-leader, experienced in creating teams, systems, and processes from scratch that scale across regions and time zones - You’re excited by the challenge of orchestrating human + AI systems as a single workforce - You can influence senior stakeholders across technical and operational domains, and drive alignment in complex environments ⚠️ What this role is (and isn’t) - This is a system-level operations role, not a traditional scheduling or contact centre WFM position - You’ll be accountable for outcomes (SLA, cost, resilience) — not just plans or processes - You’ll operate in a real-time, high-stakes environment, where decisions have immediate customer and business impact 🙌 What’s in it for you 💰 £120,000-£175,000 + Benefits ✈️ We’ll help you relocate to the UK ✅ We can sponsor your visa. 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London) ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, and at times that suit you and your team. 📚 £1,000 learning budget each year to use on books, training courses and conferences. 🏡 We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ➕ Plus lots more! Read our full list of benefits. Interview Process Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! - 30 minute recruiter call - 45 minute call with hiring manager - 3 x 1-hour video calls with various team members Our average process takes around 3-4 weeks but we will always work around your availability. We have some guidelines on using Artificial Intelligence (AI) to ace an application and interview at Monzo. You can read them here. #LI-AE1 #LI-REMOTE

At Edmunds we’re driven to make car buying easier. Ever since we began publishing printed car guides in the 60’s, the company has been in the business of trust, innovating ways to empower and support car shoppers. When Edmunds launched the car industry’s first Internet site in 1994, we established a leadership position online and have never looked back. Now, as one of the most trusted review sites on the Internet, millions of visitors use our research, shopping and buying tools every month to make an easy and informed decision on their next car. For consumers, we bring peace of mind. For dealers, we make tools to help them solve their problems and sell more cars. How do we do it, you ask? The key ingredients are our enthusiastic employees, progressive company culture and cutting-edge technology. Want to join the team? Read on to find out how! What You’re Applying For: Edmunds is looking for a data engineer to help us manage the data explosion dilemma! As a Data Engineer, you will architect and scale the foundational data platforms that power Edmunds' analytics, AI/ML initiatives, and business intelligence. You will be joining a strong, determined and results-oriented Data Engineering team that is transforming Edmunds from IT to real time data-driven. In this high-impact technical leadership role, you'll be helping the company make real time decisions based on the torrent of data it receives, empowering analytics on existing products as well as providing insights on potential new opportunities for growth. You aren't just maintaining pipelines; you are defining the architecture that dictates how Edmunds leverages data across the enterprise. What You’ll Do: - Pipeline Architecture: Create and maintain scalable, maintainable and reliable data pipelines that process very large quantities of structured and unstructured data in both batch and real time. - Platform Leadership: Enhance and maintain the data lakehouse that powers the core of the company's decision making process. - Core Systems Engineering: Work hands-on with our transactions and pricing pipelines, building and optimizing data workflows using Spark, Databricks, SQL, Scala, and Python. - Process Engineering: Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc. - Infrastructure & Cloud: Support infrastructure and build processes, working within AWS to deploy and maintain reliable, scalable data systems. - Cross-functional Collaboration: Work with stakeholders including the Executive, Product, and Data teams to assist with data-related technical issues and support their data infrastructure needs. - Technical Guidance: Design solutions, troubleshoot pipeline issues, and ensure data quality across critical business systems while collaborating with team members with a goal of improving personal knowledge of the systems, ensuring that code changes meet business goals and technology best practices. What You Need: - Programming Expertise: High proficiency in at least one object oriented or functional programming language (Almost all of our codebase is in Scala and Python ). - Data Processing: Fluency in SQL and demonstrated experience writing ETL Jobs and working with data at scale. - Streaming/Real-Time: Experience writing and maintaining real time / streaming data pipelines. - Core Tooling: Familiarity with some of the following: Spark, Scala, Python, AWS, Databricks, Airflow. - Software Design: Demonstrated ability to design and write maintainable software , paired with an understanding of software engineering best practices, object oriented analysis & design, and design patterns & algorithms. - System Modernization: Experience enhancing and evolving existing systems. - Professional Skills: Demonstrated problem solving, troubleshooting, and communication skills especially in a hybrid and remote environment. - Platform & Deployment: Familiarity with cloud-based data platforms (particularly Databricks and AWS), CI/CD build pipelines. - Desire to Learn: Desire to learn new technologies. Nice to Haves: - Exposure to AI/ML workflows or an interest in integrating machine learning into data pipelines. The compensation range for this position is $125,000 - $159,000 per year. The base pay will take into account internal equity as well as job-related knowledge, skills, and experience among other factors. In addition, Edmunds offers full-time employees a comprehensive total rewards package including the benefits listed below. Edmunds Perks: - Flexible time off - 13 Paid Holidays - Comprehensive Health Benefits (medical, dental, vision, life and disability) - Flexible Spending Accounts (Employees) and Health Savings Accounts (Employee and Employer Contributions) - 401K Plan with company matching at 100%, up to 6% of eligible salary with immediate vesting - Stock purchase program - CarMax vehicle discount - Up to 4 months Paid Parental Leave - HeartCash matches employee donations to the causes that are important to them - 2 Days of Paid Time Off for time to dedicate to social impact causes - FitCash covers a portion of gym or fitness activity fees - Well-being sessions - Employee Recognition Program - On-going career development opportunities - Pet insurance - Sabbatical leave - Education Reimbursement - Pre-tax spending accounts for qualified transportation expenses Working @ Edmunds.com: Employees think it’s a pretty great place to work and some pretty impressive publications think it is too: we have been recognized as one of the best places to work by Fortune Magazine, Great Places to Work, LA Business Journal, Newsweek, Computerworld, Built in LA, Inc. Magazine, The Wall Street Journal, Business Week Magazine, and Architectural Record. We've also been identified as one of the best workplaces specifically in Technology, for Diversity and Asian Americans, and as a Newsweek Most Loved Workplace for LGBTQ+ employees. If you’re interested in learning more and joining our mission, we’d love to hear from you! Edmunds will consider for employment qualified candidates with criminal histories in a manner consistent with the requirements of all applicable laws. #LI-Remote #BI-Remote

• Diseñar, construir y optimizar tuberías de ingestión basadas en API para Snowflake • Desarrollar marcos escalables de ETL/ELT utilizando SQL y Python • Trabajar con datos semiestructurados y patrones de integración de datos a gran escala • Colaborar con equipos de negocios y técnicos para recopilar requisitos y comprender las complejidades de los sistemas fuente • Resolver problemas de ingestión y adaptarse a sistemas no documentados o parcialmente documentados • Contribuir a iniciativas de integración y modernización en entornos empresariales multi-regionales

Engineer, Data II USX HEADQUARTERS 08:00-17:00 Position open to remote: Yes Grade: ES15 Compensation Range: $82,700-$103,400 Who We Are: Relentlessly Delivering Big Ideas. U.S. Xpress is one of the nation’s largest asset-based trucking companies. But the most valuable asset we offer isn’t tractors, trailers, or even our exclusive, cutting-edge technology. It’s the collective brainpower of thousands of visionaries and problem-solvers. Together, we are revolutionizing the transportation industry by providing innovative, custom solutions. And, here, we believe in the sanctity of a promise—both to our customers, and our people. When we focus our varied talents on reshaping the future of transportation, that’s what we call the POWER OF U.S. Why U.S. Xpress? Right Role. Right Tools. Right People. We invest in our talent starting on day one. You will be provided with personal and professional development opportunities that complement your interests and encourage you to build a career you’re passionate about. Whether it is employee stock options, profit-sharing, 401K, professional development, or our competitive pay, we help prepare you for the future. Be part of an organization that values out-of-the-box thinking and rewards employees for going above and beyond. Curious about the other benefits of working with us? Check out other perks below! - Medical, Dental, and Vision - Basic/Supplemental Life - Accidental Death/Dismemberment - Health Savings Accounts - Flexible Savings Accounts - Company Paid Holidays - Paid Time Off - 401k with Employer Matching Contribution - Employee Stock Purchase Plan - Paid Parental Leave - Short Term Incentive Program - Employee Assistance Program - Pet Insurance Primary Position Purpose: The Data Engineer II works with new and legacy systems to lead the way for high-quality decisions. The Engineer II contributes to the design and implementation of both relational and NoSQL data repositories, focusing on optimizing data access and ensuring efficient data storage. This role works independently on smaller projects and assists senior engineers on more complex tasks. Position Functions: · Design and implement data models and schemas for relational and NoSQL databases, with a focus on MongoDB. · Develop and optimize SQL queries and stored procedures. · Implement data transformation and processing pipelines. · Collaborate with development teams to ensure data solutions meet application requirements. · Conduct data analysis and performance tuning to optimize database systems. · Assist in mentoring junior engineers and contribute to best practices. What We’re Looking For: Education · Bachelor’s degree in Computer Science, Information Systems, or related field required · Master’s degree preferred Experience - 3+ years of experience in data engineering or a related role required - Experience with data modeling, ETL processes, and data warehousing - Experience with a programming language (Python, Java, C#) · Transportation, Logistics, and/or Tech industry experience a plus Skills & Abilities · Proficiency in SQL and experience with at least one NoSQL database, specifically MongoDB · Understanding indexing, partitioning, and data sharding · Knowledge of data security and compliance best practices · Familiarity with message brokers such as Kafka or RabbitMQ, and relational databases like Amazon RDS is a plus · Strong SQL skills and experience with data processing frameworks · Ability to design and optimize database schemas and queries · Experience with MongoDB and cloud platforms (e.g., AWS, Azure, GCP) is beneficial · Adept at assessing organizational dynamics and managing change · Works quickly and efficiently. Able to test solutions, learn, and iterate quickly · Proactive and pragmatic problem solver · Communicates effectively across multiple mediums Licenses & Certifications · Relevant certifications (MongoDB Certified Developer, Microsoft Certified: Azure Data Engineer Associate, AWS Certified Data Analytics – Specialty, etc.) preferred Supervisory Responsibility · N/A Work Environment / Physical Requirements – Normal office settings. This job description indicates the general nature and level of work expected for this position. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities. Employees performing this job may be asked to perform other duties as required and the responsibilities of the position may change. Reasonable accommodations will be made to enable individuals with disabilities to perform the essential functions. U.S. Xpress is an Equal Opportunity Employer committed to creating and maintaining a diverse workforce. This role will remain open until it has been filled. #LI-Remote