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Principal Data Modeller - Snowflake Location: Bristol (Hybrid Working)Job Type: Permanent, Full-TimeSalary: £95,000 + Bonus, PHC, pension The Role: A Financial Services Business in Bristol are looking for a Principal Data Modeller to define, own, and evolve the enterprise data model within a complex, data-driven organisation. This is a high-impact, senior individual contributor role responsible for establishing consistency, clarity, and trust in how data is structured, governed, and used across the business. You will act as the design authority for data modelling, ensuring that data assets support analytics, reporting, regulatory requirements, and AI/ML use cases. Working across multiple domains, you will bring alignment to key business concepts and enable scalable, reusable data products. This role is ideal for someone who thrives on solving complex data challenges, influencing senior stakeholders, and shaping enterprise-wide data strategy without direct line management responsibility. Principal Data Modeller - Required Experience • Senior level experience in data modelling, data architecture, or related roles, • Experience within financial services or regulated environments, • Experience working with cloud platforms - AWS & Snowflake, • Experience working with data product or platform operating models, • Familiarity with event-driven or streaming data architectures, • Deep expertise in data modelling methodologies (conceptual, logical, dimensional), • Strong understanding of data governance, lineage, and quality frameworks, • Strategic thinker with a focus on scalability and reuse, • Excellent stakeholder management and communication skills, • Passion for data innovation and evolving best practice This is an opportunity to be part of an enterprise data transformation programme! Reasonable Adjustments: Respect and equality are core values to us. We are proud of the diverse and inclusive community we have built, and we welcome applications from people of all backgrounds and perspectives. Our success is driven by our people, united by the spirit of partnership to deliver the best resourcing solutions for our clients. If you need any help or adjustments during the recruitment process for any reason, please let us know when you apply or talk to the recruiters directly so we can support you.

Are you an engineer who enjoys building reliable systems and intuitive user experiences? Join Spotify’s Commerce Platform and help shape the Checkout experience for millions of users worldwide. You’ll contribute across the stack, grow your technical depth, and work on systems that directly support how users manage their relationship with Spotify. You’ll be part of the Checkout Domain, where we build and scale the purchase experience, from the moment a user selects an offer to what happens after they complete a transaction. Our teams work on services and surfaces that support billing, account updates, and post-purchase interactions that focus on building trust and retention. The work spans APIs, backend services, and user-facing components across web and mobile. This is a great opportunity to join a collaborative, product-focused team working in a space with real user impact and cross-functional reach. • Design, build and maintain scalable backend services (Java/Python) and be active in shaping our data pipelines that power Spotify’s internal Commerce platform, • Develop and enhance our user-facing layer and frontend SDKs (React/Typescript), • Be an active part of creating and evolving APIs and services that connect user experiences with internal Commerce capabilities, taking into account Product requirements, • Drive improvements to system architecture, performance, and developer experience, • Collaborate closely with a talented group of engineers, product managers, designers and data specialists across multiple teams, • Contribute to technical discussions and help shape platform decisions, • You have experience building and maintaining backend services (Java and/or Python) in large-scale, modern cloud environments (we use GCP), • You’re confident working across the stack, from building scalable APIs to developing intuitive, high-performing, modern frontend applications (React/TypeScript preferred), • You have experience in system design and service-to-service integration, • You bring an open and pragmatic mindset to solving complex problems, while actively connecting the dots across technical, product, and business to inform your approach, • You care about code quality, testability, and developer experience, • You communicate clearly, take initiative on projects and collaborate effectively in cross-functional settings, • Having experience in commerce or payments systems is a plus, • This role is based in London (UK), • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home, • We ask that you come in three times per weekSpotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Collaborate with engineering and customer success teams to support streaming platform uptime. Strong Linux systems engineering and troubleshooting experience. Opportunity for international travel (e.

Senior Data Engineer - Greater Manchester.An exciting opportunity has arisen for a Senior Data Engineer to join my client’s dynamic and growing data team.In this role, you will work across the full data lifecycle—streaming, enrichment, and curation—within a cloud-based environment.You will be

Wordbank is seeking experienced, Spanish speaking, Graphic Designers for an ongoing project with a renowned international streaming service. We’re seeking designers who are able to create both 2D and 3D graphics from scratch based on detailed specs and a brief, who can provide consultation on what

The Personalization team makes decisions about what to play next easier and more enjoyable for every listener. From Blend to Discover Weekly, we’re behind some of Spotify’s most-loved features. We built them by understanding the world of music and podcasts better than anyone else. Join us and you’ll keep millions of users listening by making great recommendations to each and every one of them. We are looking for a Backend Engineer to join our distributed team across Europe of hardworking engineers that are passionate about connecting new and emerging creators with users via recommendation algorithms. As an integral part of the squad, you will collaborate with engineers, research scientists and data scientists in prototyping and productizing state-of-the-art ML that serves at scale for hundreds of millions of users. • Design, develop, and deliver robust and scalable backend systems and APIs., • Collaborate with other engineers, product owners, and designers to identify and solve challenging problems and build new product features., • Write clean, maintainable, well-documented code, adhering to coding best practices., • Participate in the improvement of our software development standards and practices., • Stay up-to-date with emerging backend technologies and best practices., • Be a member of the Spotify-wide backend developer community affecting and driving our architecture across the company., • You have experience writing distributed, high-volume Java services and know how to deploy and keep them running in production., • You have a good understanding of data structures and algorithms, and understand how to apply them to design pragmatic solutions., • You have excellent analytical and problem-solving skills and can communicate your ideas to technical and non-technical audiences., • You love working in an environment where you constantly experiment and iterate quickly., • You believe data is the most powerful tool for informed decision-making., • You care about quality and you know what it means to ship high quality code., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Role – Confluent Consulting Engineer Technology – Apache Kafka, Confluent Platform, Stream Processing Location –(Remote) UK Job Description Your role: As a Confluent Consulting Engineer, you will be responsible for designing, developing, and maintaining scalable real-time data pipelines and integrations using Kafka and Confluent components. You will collaborate with data engineers, architects, and DevOps teams to deliver robust streaming solutions. Required: · 5+ years of hands-on experience with Apache Kafka (any distribution: open-source, Confluent, Cloudera, AWS MSK, etc.) · Strong proficiency in Java, Python, or Scala · Solid understanding of event-driven architecture and data streaming patterns · Experience deploying Kafka on cloud platforms such as AWS, GCP, or Azure · Familiarity with Docker, Kubernetes, and CI/CD pipelines · Excellent problem-solving and communication abilities Preferred: Candidates with experience in Confluent Kafka and its ecosystem will be given preference: · Experience with Kafka Connect, Kafka Streams, KSQL, Schema Registry, REST Proxy, Confluent Control Center · Hands-on with Confluent Cloud services, including ksqlDB Cloud and Apache Flink · Familiarity with Stream Governance, Data Lineage, Stream Catalog, Audit Logs, RBAC · Confluent certifications (Developer, Administrator, or Flink Developer) · Experience with Confluent Platform, Confluent Cloud managed services, multi-cloud deployments, and Confluent for Kubernetes · Knowledge of data mesh architectures, KRaft migration, and modern event streaming patterns · Exposure to monitoring tools (Prometheus, Grafana, Splunk) · Experience with data lakes, data warehouses, or big data ecosystems Personal Besides the professional qualifications of the candidates we place great importance in addition to various forms personality profile. These include: · High analytical skills · A high degree of initiative and flexibility · High customer orientation · High quality awareness · Excellent verbal and written communication skills

Backed by a16z and Salesforce Ventures, Sequence is reinventing the accounts receivable category, building a flexible toolkit to help B2B finance teams to scale their revenue collection infrastructure. The team behind Sequence has decades of experience building and operating category-defining marketplace, machine learning, fintech, and enterprise software companies. We are no ordinary start-up; the maturity of our leadership and technology means we are operating at a lightning fast pace. This is a fantastic opportunity to be a part of the next wave of innovation for the CFO office, doing your best work with talented, ambitious and creative teammates. Sequence is the ultimate billing and revenue stack for B2B companies. We help our customers design and iterate on their pricing and revenue flows, so they can stay completely focused on their mission without worrying about billing. At the end of your career, we want you to look back at your time with Sequence and say it was the best job you ever had. We're looking for software engineers with strong backend and cloud infrastructure experience to build the systems that power billing for modern B2B companies. You'll own revenue-critical infrastructure - the kind where correctness isn't negotiable and downtime isn't an option. Our usage events platform processes every merchant action that determines how their customers get billed, making it one of the most critical systems we run. You'll work on the evolution of this platform to handle exponential growth while maintaining perfect accuracy. This is a rare opportunity: you're joining early enough to make fundamental architectural decisions, but late enough that real customers depend on what you build. You'll design systems that process high-velocity event streams, make technical decisions that balance cost and performance at scale, and build infrastructure that never compromises on reliability. Own revenue-critical event infrastructure. You'll work on systems that process customer usage data on which billing and invoicing depend. Design event streaming pipelines that handle high throughput with low latency. Build robust systems where data accuracy is non-negotiable and uptime is measured in nines. Design scalable data systems. You'll work with event streaming architectures, building sophisticated ingestion pipelines and query optimization strategies. Our event volumes grow with every new customer, so you'll architect systems that scale efficiently while keeping costs reasonable. Shape our backend architecture. You'll tackle our most complex technical challenges and set the standards for how we solve them. Our services run on Kotlin with Spring Boot, and you'll have significant influence over architectural patterns and how we approach infrastructure problems. Build for the next phase of growth. You'll design systems that work beautifully today and scale to 10x the load tomorrow. This means thinking about data storage strategies, horizontal scalability, and how your architectural decisions affect performance as volume increases. Drive impact on a small team. We've built an engineering culture around collaboration, learning, and shipping. You'll have significant influence on what we build, how we build it, and how we work together. ✅ Love building systems that scale. You've worked on backends that handle significant load and understand the tradeoffs in designing for throughput, latency, and cost. You know when to optimize and when good enough is actually good enough. ✅ Have strong experience in event-driven architectures. You've built pub/sub systems, worked with event streaming platforms, and understand the nuances of event delivery semantics, backpressure, and ordering guarantees. ✅ Think deeply about data systems. You've worked with analytical databases or OLAP systems. You can reason about columnar storage, indexing strategies, and query optimization without needing a whiteboard. ✅ Own your infrastructure. You've provisioned cloud resources, written infrastructure-as-code, and made architectural decisions that balance competing constraints. You understand how to model and optimize costs as systems scale. ✅ Write backend code in strongly-typed languages. Our services run on Kotlin, though you don't need prior experience - many of our engineers learned it here and loved the challenge. What matters is that you're comfortable with type systems and backend development. ✅ Want to work on something new. The biggest technical decisions still lie ahead. You'll help define our infrastructure strategy, not just implement someone else's vision. ✅ Thrive in uncertainty. We're an early-stage company. Priorities shift as we learn from customers. Requirements evolve as we understand the problem space. You find this energizing, not frustrating. ✅ Care about customers and their problems. You'll work directly with customer data and build systems that power their revenue. You'll need to understand not just how to build things, but why they matter. 👎 Prefer staying in your lane. We're small and fast-moving. Engineers here work across different parts of the system and adapt as needs change. 👎 Want a predictable roadmap. We don't have a year-long backlog of perfectly scoped tickets. We figure out what to build based on customer needs and technical priorities. 👎 Prefer a slower pace. We're solving real problems for customers today, which means we need to move quickly and make pragmatic tradeoffs. 👎 Want startup perks with big company stability. We're early stage - that comes with excitement and opportunity, but not the benefits package of an established tech company. The salary range for this role is £90,000 - £110,000 + share options Early ownership of critical infrastructure at a fast-growing company Real architectural influence - your decisions will shape how we build for years A collaborative team that values deep technical work and continuous learning We support remote work within +/- 3 hours of GMT and EST, or you can work from our offices in central London or New York - whatever you prefer. The hiring process follows the same general outline for all engineering roles. 1️⃣ First interview (15 mins): A 15 minute interview with an engineer to learn more about you and your experience. 2️⃣ Technical Interview (60 mins): A live pair-programming exercise with one or two of our engineers. We'll ask you to start a new project in a language of your choice, and you'll work with the engineers to solve some requirements and write a test suite. 3️⃣ System Design Interview (60 mins): Focused on how you approach system design problems, own the solutions, and apply a product mindset. 4️⃣ Final interview (30 mins): A final interview with our CEO, Riya.

Are you a highly skilled Backend Engineer looking to make a significant impact on a global scale? Join Spotify's Commerce Platform and help us build the next generation of our robust, high-performing, and resilient commerce ecosystem. This is an exceptional opportunity to tackle complex challenges, shape our technology stack, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we own the critical backend services and extensive datasets that power end-to-end merchandising, sophisticated order management, seamless payment orchestration, and intuitive purchase flows for millions of users worldwide. Your expertise will be instrumental in evolving our technology stack, driving innovation, and directly impacting Spotify's business growth. • Architect and implement highly scalable backend systems and robust data pipelines from concept to deployment, ensuring the right capabilities are delivered within Spotify’s internal commerce platform, • Lead the design and development of critical features in our Java and Python backend services, contributing to a high-volume, low-latency environment, • Design, build, and optimize data pipelines, ensuring efficient and reliable data processing for our commerce insights and operational needs, • Drive operational excellence by championing best practices in monitoring, alerting, and incident response for our production systems, • Collaborate closely with talented engineers, product managers, and cross-functional teams across Spotify to deliver impactful solutions for our users, • This role has on-call rotation, • 5+ years of working experience in a similar role, • Experienced building and scaling Java and/or Python backend services within a large-scale, cloud-native environment (e.g., Google Cloud Platform or equivalent), • Experience of building and maintaining data pipelines, • Knowledge and practical experience with scalable database technologies like PostgreSQL, • Excellent problem-solving skills with a strong bias for action and a pragmatic approach to engineering challenges, • Exceptional communication and collaboration skills, comfortable driving technical discussions, presenting complex ideas, and working effectively with diverse stakeholders, • A self-driven, proactive engineer who thrives in a collaborative team environment and is committed to continuous improvement through feedback and shared learning, • Experience in e-commerce, financial engineering, or high-volume transaction processing domains is a bonus, • This role is based in London, United Kingdom, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home. We ask that you come in 3 times a week.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

Role Summary We are seeking a seasoned Voice AI Lead Architect with strong Data Architecture expertise to lead the design and implementation of next-generation Voice/Agentic AI solutions for a leading banking client on GCP. This role combines conversational AI, data strategy, and customer engagement, acting as a trusted advisor to drive intelligent, data-driven IVR transformation. Key Responsibilities • Act as the onsite Voice AI and Data Architecture lead, building strong relationships with banking stakeholders across business, data, and IT teams., • Design and deliver Voice AI / Agentic IVR solutions leveraging:, • Google CES/CXAS, Dialogflow CX / CCAI, • Vertex AI (LLMs, RAG, agent frameworks), • Define and implement enterprise data architecture for Voice AI:, • Conversation data pipelines (real-time + batch), • Integration with data lakes, warehouses (BigQuery), • Customer 360 and contextual data enablement, • Build RAG-based knowledge systems integrating structured and unstructured banking data., • Architect data-driven decisioning for voice agents (personalization, next-best action, fraud detection signals)., • Ensure integration with core banking, CRM, and analytics platforms., • Establish data governance, lineage, quality, and compliance frameworks (GDPR, PCI-DSS)., • Drive conversation analytics, observability, and feedback loops to continuously improve AI performance. Key Skills • Strong expertise in Voice AI / Conversational AI architecture, • Deep knowledge of Data Architecture (data lakes, pipelines, streaming, analytics), • Experience with GCP data stack (BigQuery, Pub/Sub, Dataflow, Cloud Storage), • Understanding of RAG, embeddings, and knowledge retrieval frameworks, • Strong stakeholder engagement and consulting skills Experience • 1218+ years in architecture with focus on data + AI platforms, • Proven experience in Voice AI / IVR / Contact Center transformation programs, • Hands-on experience designing enterprise data platforms in banking, • Experience working in regulated financial environments, • Track record of driving data-driven CX transformation initiatives Preferred Qualifications • Experience with Customer 360, real-time personalization, and behavioral analytics, • Exposure to multi-agent AI architectures and tool invocation frameworks, • Experience with CCaaS platforms (Google CES/CXAS, Genesys, NICE, Amazon Connect), • Strong understanding of AI/ML lifecycle, MLOps, and data governance, • Experience working with Tier-1 banks or large financial institutions Certifications • Google Cloud Professional Data Engineer (Highly Preferred), • Google Professional Cloud Architect, • Google Machine Learning Engineer, • Certifications in Conversational AI (Dialogflow CX or equivalent), • TOGAF / Enterprise Architecture certifications, • Data certifications (good to have): CDMP, Databricks, Snowflake JBRP1_UKTJ

Distributed Acoustic Sensing (DAS). High channel-count acoustic data streaming.