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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.

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.

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.

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

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants living in UK time zones only at this time. The Opportunity: The Managed Services team is a newly formed squad within the Databases department. It owns and operates shared, production-critical infrastructure that powers Grafana Cloud’s next-generation database products (Mimir, Loki, and Tempo). Today, this includes operating 100+ WarpStream clusters across multiple cloud providers and regions, with continued growth anticipated for the future. WarpStream acts as the streaming backbone for ingestion and read/write decoupling across databases. It sits directly on the hot path for metrics, logs, and traces, handling high-throughput, multi-consumer workloads at massive scale. In addition to streaming infrastructure, the team works closely with high-volume analytical and storage systems that power query-heavy and aggregation-heavy workloads, where latency, compression behavior, storage layout, and scaling characteristics matter deeply. What You’ll Be Doing: As a Senior Engineer on Managed Services, you will take ownership of running these systems in production. This involves: • Operating and evolving 100+ multi-cloud streaming clusters and related database infrastructure, • Diagnosing and eliminating cross-layer failure modes (e.g., object storage latency, noisy neighbors, control-plane bottlenecks, query performance regressions, etc.), • Designing safe upgrade and rollout strategies at scale, • Improving observability, automation, and operational ergonomics, • Partnering closely with database and platform teams to ensure safe scaling, partitioning, consumer fan-out, and query performance, • Working directly with distributed systems behavior, Kubernetes scheduling dynamics, storage engines, compression trade-offs, etc., • Serving as a primary escalation point and on-call for relevant incidents, • Owning the relationship with all system vendors, including WarpStream Labs and others., • As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. This role blends deep distributed systems work with the opportunity to influence how the team approaches reliability, scaling, and operational excellence. We invest heavily in developer productivity. You can use modern AI coding assistants as part of your daily workflow (your choice of tools, within security guidelines), backed by a company-funded usage budget so you can iterate quickly without unnecessary friction. We encourage pragmatic AI-assisted development: faster prototyping, test generation, refactors, documentation, and incident follow-ups—always paired with strong code review and quality standards. You’ll also have access to frontier models (e.g., GPT-Codex 5/3, Claude Opus 4.6, Gemini 3 Pro). Of course, there is an on-call component to this role and one that we take seriously. As a company, we hire globally (remote-first) to ensure our on-call remains healthy and aligned to approximately 12 daylight hours per day. You will work closely with counterparts in other regions to provide balanced coverage and shared ownership. What Makes You a Great Fit: • Regular 1:1s with your manager and close collaboration with teammates across regions, • Reviewing and defining SLOs for shared database infrastructure, proactively reducing error budgets through improvements to monitoring, automation, scaling strategies, and system design, • Improving the diagnosability of core streaming and database systems in production, where possible., • Implementing solutions that ensure reliability, scalability, and performance of high-throughput, multi-cloud infrastructure, • Developing fault-tolerant patterns that account for distributed system realities such as storage latency, partition imbalance, noisy neighbors, and control-plane dependencies, • Planning and executing safe upgrades and rollouts across dozens of production clusters, • Collaborating with database and platform engineering leaders to influence architecture, roadmap priorities, and long-term strategy, • Participating in PR review and contributing to design documents, automation, tooling, and code improvements that reduce operational risk, • Sharing best practices and distributed systems knowledge with partner teams, • Participating in incident response, from investigation through resolution and post-incident reviews (PIR) Requirements: • 6+ years of engineering experience, including meaningful time in SRE, platform engineering, production engineering, infrastructure engineering, or distributed systems roles., • Experience operating distributed systems in production (e.g., streaming systems, analytical databases, large-scale storage backends). Examples of these include Kafka, Redpanda, WarpStream, Postgres, ClickHouse, Snowflake, or Cassandra., • Strong Kubernetes experience in AWS, GCP, or Azure, and familiarity with infrastructure-as-code tooling (Helm, Terraform, Jsonnet, etc.)., • Solid understanding of distributed systems design and large-scale system trade-offs., • Proficiency in at least one programming language (Go preferred, but not required)., • Working knowledge of Linux internals, networking, cloud storage, and performance/scaling behavior., • Experience participating in blameless incident response and writing high-quality post-incident reviews., • Clear communicator who can collaborate across teams and work autonomously., • Curious, pragmatic, action-oriented, and kind (this is important!) Compensation & Rewards: In the United Kingdom, the Base compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity, bonus (if applicable) and other benefits listed _. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Designing data lakes and distributed data platforms. Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings. Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geos

Broster Buchanan are partnered global business within the food industry with a turnover of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. This will be a mostly remote role but would suit someone near Liverpool, Birmingham or London as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. 1-2 times per month. A salary of £55k - £65k + 10% bonus is on offer. Responsibilities: • Help set up and deliver the future direction of strategy and approach to the management, storage and usage of data, • Collaborate with their wider technology and business teams to ensure goals and visions are aligned and achieved, • Help with setting up the data warehousing and lake processes, including collaborating with their architecture teams to figure out what that will look like, • At times, guide and mentor the junior data engineers within the team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development, • Design, develop, and manage data pipelines using Fabric Data Factory, • Leverage Fabric Data Integration for seamless data source integration, • Implement and maintain robust data governance frameworks with Fabric Data Management, • Create and maintain interactive dashboards and visualizations in Power BI and Tableau, • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions, • Monitor and troubleshoot data processes, ensuring performance and reliability, • Document data workflows, processes, and system architecture Requirements: • Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle, • Strong experience with setting up and using big data storage solutions, including data warehouses, data lakes or data lake houses, • Able to build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes, • Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python, • Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned, • Any previous experience with setting up data governance and processes would be highly beneficial, • Good proficiency in Power BI and Tableau, • Strong knowledge of data integration techniques and ETL/ELT processes, • Experience with data modelling, data warehousing, and data governance best practices

Lead Data Platform Engineer (DV Clearable) - Up to £140,000 + Benefits UK (Hybrid / Secure Site) Must be eligible for DV clearance (active SC required to start) The Opportunity We are seeking a highly capable Lead Data Platform Engineer to support a major UK Government client, leading the design and development of high-performance backend services within a secure, cloud-native environment. You will play a key role in building scalable, resilient, and low-latency data platforms, working with modern open-source and commercial technologies while driving engineering excellence across the team. Key Responsibilities • Design, develop, document, and deploy backend services and platform features, • Ensure solutions meet functional and non-functional requirements, including performance, scalability, and availability, • Contribute to story elaboration and estimation within Agile delivery teams, • Deliver frequent, incremental releases to maintain delivery momentum, • Collaborate across cross-functional teams, fostering a shared ownership culture, • Build, optimise, and maintain CI/CD and Continuous Deployment pipelines, • Take operational ownership of services, ensuring reliability and performance in production Essential Skills & Experience • Strong experience in Java development, including:, • Core Java, • Spring Boot frameworks, • Proven experience building distributed backend systems, • Hands-on experience with Kafka (or similar streaming platforms), • Experience with Scala and Apache Spark for data processing, • Integration withbackend services such as:, • PostgreSQL, • Redis, • S3 (or equivalent object storage), • Expertise in modern engineering practices, including:, • Continuous delivery, • Clean code principles, • Automated testing & TDD, • Code reviews and documentation, • Experience working in Agile / DevOps environments, • Proficiency with Git-based source control (GitHub / GitLab), • Experience working with Big Data technologies, • Strong hands-on experience with AWS or other public cloud platforms Desirable Skills • Experience designing and operating high-throughput, real-time data platforms, • Familiarity with microservices architectures, • Exposure to infrastructure as code and platform engineering practices, • Experience working in secure or regulated environments Security Requirements • Must currently hold SC clearance, • Must be eligible and willing to obtain DV clearance What's on Offer • Salary up to £140,000 (depending on experience), • Opportunity to lead engineering on critical national programmes, • Work with cutting-edge data, streaming, and cloud technologies, • Strong engineering culture focused on quality and continuous improvement, • Excellent career progression and development opportunities Apply Now If you are an experienced platform engineer ready to lead the delivery of high-performance systems in a secure environment, we'd love to hear from you. 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. JBRP1_UKTJ

Audio Visual Design Consultant - Technical Designer Brief Overview of Role: Producing CAD drawings, schematics, elevations, and plans for commercial AV installations for various job sites. The Audio-Visual Design Consultant / Technical Designer is an office-based role; all applicants must live within a commutable distance of the company's Maidenhead office. Knowledge & Key Skills Weekly Producing System Flow Schematics, AV Positional Layout Drawings, Rack Layout Drawings Producing full installation AV Schematics and As-Builts. Production of bespoke metal work design Assisting in the production of Cable and Components listings, including cable schedules Specialist Drawings as required for custom production work. Tracking changes and developments in drawings & plans, updating AV schematics. Uploading drawings to the internal system for all users BTO participant - Tracking all changes and updating the drawing register within agreed timescales. Supporting on drawings for tender specifications and raising RFIs. Occasional site attendance will be required. Awareness of new products and actively suggesting improvements on specified equipment and design Adhoc On-site customer-facing pre-sales meetings. Engineer and programming support New product research and testing Basic training on drawings for ISEs Essential: 2 years of audiovisual design experience Comprehensive working knowledge of current AV systems, associated IT elements, and their installations (including AMX, Crestron, Extron, audio DSP, video conferencing, video streaming, digital signage, etc) Good organisational skills and ability to prioritise workload effectively. Excellent interpersonal and communications skills Self-motivated and highly professional with the ability to lead and take ownership and responsibility for system designs. Ability to multitask, work under pressure, and meet tight deadlines. A desire to learn and improve skills and knowledge. Fast learner, energetic, enthusiastic Adaptable and flexible to business demands Positive can-do attitude Team player Clean driving licence Good numeracy and written skills TPBN1_UKTJ

Yelp, Inc is seeking an Engineering Manager located in the United Kingdom to lead a team focused on data streaming solutions.

Implement and support event‑driven architectures, including event sourcing and event streaming. Hands‑on experience with event‑driven systems (event streaming and/or event sourcing).

Digital Envoy Inc in Greater London is looking for an International Sales Director to lead sales in CTV, streaming, and digital rights management sectors.

Senior Software Engineer - Java Streaming - Connectors. Proven experience with the internals of streaming or data integration frameworks,. Experience developing or extending connectors, sinks, or sources for at least one streaming processing framework such as Apache Flink, Beam, or Kafka Connect,.

CTV, streaming, or digital rights management landscape, with a proven track record of engaging and closing at C-level with broadcasters, streaming platforms, content owners, or rights holders. Digital Envoy is seeking a sales professional with a strategic approach to build, lead and grow sales withi

Unlike a purely strategic product role, this position requires someone who is technically confident in the detail-able to support on-site technical setups, troubleshoot remote and live streaming workflows, and step in during high-pressure live events and working with multiple stakeholders. Provide h

In this role, you will build an event streaming platform using technologies like Kafka and Flink, enabling teams to efficiently collect and utilize data for AI applications.

You'll lead a team focused on building Kraken's real-time streaming infrastructure and manage the architecture for high-volume data systems.

Salt Digital Recruitment is seeking a Senior Kotlin Software Engineer for an investment banking client in London.This hybrid role involves developing backend services in a fast-paced environment, focusing on high-quality engineering and collaboration.The ideal candidate will have strong Kotlin devel