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Ready for a Challenge?\n Join us at Just Eat Takeaway.com, a leading global online delivery platform dedicated to empowering everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. About This Role\n We’re on the lookout for an experienced Senior Data Engineer to join our Insights & Enablement team within Retail Media Tech at JET. This isn’t just any Senior Data Engineer role; you’ll be at the heart of our retail media data platform, responsible for the infrastructure, pipelines, and data products that help advertisers understand, optimize, and grow their campaigns. \n In this dynamic position, you’ll work across the full stack of modern data engineering—from event streaming and attribution pipelines to Gold Layer data marts and AI-powered tooling. Collaborating closely with data scientists, analytical engineers, product managers, and ML engineers, you’ll transform complex data challenges into reliable, scalable production systems. \n We’re building exciting projects, including: \n\n • A TopRank Sponsored Listings data platform on BigQuery and dbt\n, • A semantic layer serving Tableau and Looker Studio\n, • Snowplow-based event attribution infrastructure\n, • Agentic AI tooling for Post-Campaign Analysis\n\n As a senior member of the team, you’ll not only code but also help define best practices, mentor engineers, and elevate the technical standards across the team. Your Key Responsibilities\n\n • Design and build scalable data pipelines and event streaming architectures, focusing on reliability and data quality.\n, • Develop and maintain Gold Layer data marts in BigQuery using dbt Core, applying top-down/bottom-up data modeling methodologies.\n, • Build and maintain Airflow-orchestrated ELT workflows across the retail media data platform.\n, • Contribute to Retail Media event tracking infrastructure and ensure data quality validation.\n, • Support the development of a semantic layer bridging BigQuery Gold tables to downstream BI tooling.\n, • Engage in architecture discussions, identifying improvement points and shaping platform-level decisions.\n, • Embed DataOps best practices across the team, including CI/CD, testing, and observability.\n, • Collaborate with ML engineers and data scientists to productionize models and AI tooling.\n, • Mentor engineers and contribute to technical documentation and engineering standards.\nWhat Will You Bring to the Team?\n\n, • Demonstrable senior-level experience in building and delivering data engineering solutions.\n, • Strong Python skills and solid SQL experience with BigQuery or equivalent cloud data warehouses.\n, • Deep expertise in data pipeline design, including ETL/ELT and schema design.\n, • Hands-on experience with dbt Core and Airflow for orchestration and transformation.\n, • Solid grounding in data warehouse and data lake architecture.\n, • Production experience with GCP and AWS, comfortable operating across both clouds.\n, • Familiarity with observability tooling and a proactive approach to system health.\n, • Active engagement with AI/ML tooling and curiosity about how they reshape data products.\n, • A track record of contributing to design decisions and supporting the growth of colleagues.\n, • Comfortable working in a cross-functional environment, aligning with central teams.\nAt JET, This Is How We Play\n Our teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact. We believe that being the best isn’t just about delivering on our strategy; it’s about winning our customers' choice every time they order. \n Our values and behaviors guide every interaction and decision, helping us build a customer-first culture that keeps us ahead of the competition. Fun, fast-paced, and supportive, the JET culture is all about growth, collaboration, and celebrating wins. Inclusion, Diversity & Belonging\n No matter who you are, you can find your place at Just Eat Takeaway.com. We’re committed to fostering an inclusive culture that encourages diversity of thought and allows all employees to bring their authentic selves to work every day. What Else Is Cooking?\n Curious to learn more about our JETers, culture, or company? Explore our stories, blogs, podcasts, and more to get a taste of what we’re all about. Are You Ready to Take Your Seat? Apply Now!\n #LI-NB2

Data Platform Engineer \n 3 Days On-Site - London Ready for a Challenge?\n Join us at Just Eat Takeaway.com, a leading global online delivery platform dedicated to empowering everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. About This Role\n We’re on the lookout for a Platform Engineer to join our Batch Data Tools (Data Platform) team within the Global Intelligence Platforms organization. In this pivotal role, you will help build and evolve Mobius—our internal unified analytics and data platform that powers data workloads at scale across Just Eat Takeaway. \n Mobius is a Kubernetes-native, declarative data platform designed to simplify infrastructure complexity, enabling data engineers to provision and manage batch and streaming pipelines through a user-friendly API. As part of the Batch Data Tools team, you will own the components that make this vision a reality. \n We’re looking for someone who embodies our values of lead, deliver, and care, bringing fresh ideas and bold, creative solutions to drive Just Eat Takeaway forward. Your Key Responsibilities\n\n • Design, build, and continuously improve batch and data processing capabilities on the Mobius platform, ensuring high standards of reliability and maintainability.\n, • Contribute to the evolution of Mobius, shaping architecture decisions that scale with our growing data needs.\n, • Collaborate with internal teams to understand their data requirements and translate them into production-ready solutions.\n, • Establish observability for data workloads—monitoring, alerting, and logging—and lead incident response when challenges arise.\n, • Engage in code reviews, raising engineering standards and sharing knowledge generously across the team.\n, • Work closely with the Global Intelligence Platforms organization and external teams to ensure Mobius delivers measurable value.\n, • Identify and drive improvements to tooling, processes, and developer experience, making it easier for teams to build on Mobius confidently.\n, • Contribute to team planning and prioritization, breaking down complex problems into clear, achievable goals.\nWhat You Bring to the Team\n\n, • Strong coding skills in Python, Java, or Scala, with a proven track record of building reliable, production-grade software at scale.\n, • Hands-on experience with data transformation tools like Spark and DBT, focusing on well-tested, maintainable data products.\n, • Confidence in working with Kubernetes-native platforms to deploy and operate data workloads across cloud environments; knowledge of Golang is a plus.\n, • Familiarity with Apache Iceberg and schema management via catalogs like AWS Glue, with an appreciation for data quality.\n, • Solid grounding in core AWS data and messaging services (S3, Glue ETL, DynamoDB, SNS, SQS, Redis) and their roles in modern data architectures.\n, • Proficiency in SQL and experience querying large-scale datasets with engines like Athena to derive insights.\n, • Experience orchestrating and scheduling data workflows, with an understanding of pipeline dependency management principles (e.g., Airflow).\n, • Comfort in establishing monitoring, logging, and alerting for applications to drive operational excellence.\n, • A collaborative, growth-oriented mindset: you build strong relationships, stay committed to shared goals, and actively seek ways to elevate standards.\nAt JET, This Is How We Play\n Our teams forge connections internally and collaborate with some of the best-known brands globally, giving us a truly international impact in a dynamic environment. Being the best at what we do isn’t just about delivering on our strategy; it’s a competition for something incredibly valuable—our customers' choice. \n At the heart of the JET Customer League are our values and behaviors, guiding every interaction, decision, and innovation. By consistently performing these actions brilliantly, we surpass the competition and earn our customers’ loyalty time and again. \n Fun, fast-paced, and supportive, the JET culture is about movement, growth, helping one another succeed, and celebrating wins. By truly living our values, we’re building a customer-first culture that keeps us one step ahead. Inclusion, Diversity & Belonging\n No matter who you are, what you look like, who you love, or where you come from, you can find your place at Just Eat Takeaway.com. We’re committed to creating an inclusive culture that encourages diversity of people and thinking, where all employees feel they truly belong and can bring their most colorful selves to work every day. What Else Are We Delivering?\n Want to know more about our JETers, culture, or company? Explore our stories, blogs, podcasts, and more JET journeys. Are You Ready to Join the Team? Apply Now!\n #LI-CA1

Ready for a Challenge?\n Welcome to Just Eat Takeaway.com, a leading global online delivery platform where our mission is to empower everyday convenience. Whether it’s a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery, and convenience partners worldwide. The Opportunity\n We are on the lookout for a Technology Manager to lead and grow our Partner Performance team within the Supply Performance and Experience domain. This dynamic team is dedicated to transforming complex operational data into actionable intelligence, helping our partners streamline their operations and maximize revenue growth. \n As a Technology Manager, you will coordinate the design and implementation of innovative solutions crafted by your engineers, focusing on key capabilities: \n\n • Intelligent Insights: Develop a multi-channel data layer that serves as the "brain" for partner insights, ensuring the right information reaches partners at the right time.\n, • Operational Optimization: Provide real-time, predictive alerts to help partners manage operations effectively, reducing delays and preventing order errors.\n, • Growth Guidance: Identify immediate and strategic value opportunities to drive incremental revenue for both partners and Just Eat Takeaway.\n\n By leveraging our high-scale streaming architecture, we turn raw data into actionable insights that guide partners toward better decision-making, whether it’s saving an order in the moment or identifying long-term expansion opportunities. Key Responsibilities\n As a Technology Manager, you will be accountable for the technical direction, engineering quality, and execution of multiple product development teams. Your role will involve: \n\n • Product Definition: Contributing to significant product features through collaboration with engineering teams and Product Managers.\n, • Technical Leadership: Working with your Head of Engineering to define and communicate a technical roadmap for the domain.\n, • Career Development: Guiding engineers in their career aspirations and setting goals for their growth.\n, • Prioritization: Collaborating with stakeholders to align domain priorities with commercial needs and engineering strategy.\n, • Ownership: Managing streams of work from requirements gathering to production support.\n, • Continuous Improvement: Proposing and implementing new processes and practices to enhance domain effectiveness.\n, • Tracking Progress: Monitoring progress towards domain goals and communicating transparently with teams.\n, • Operating: Taking responsibility for deploying and supporting changes to ensure they work effectively in production.\n, • Communication: Sharing progress and ideas with your teams and other senior contributors.\n\n This role offers a unique opportunity to make a significant impact as we continue to grow! Your Profile & Experience\n You will have experience that aligns with some of the following: \n\n • Leading and developing engineering teams using Event Driven Architecture.\n, • Delivering high-quality software projects and driving best practices.\n, • Working independently and solving complex problems.\n, • Experience with Amazon Web Services (or similar platforms like Azure or Google Cloud).\n, • Familiarity with Agile methodologies (Scrum, Kanban).\n, • A desire to coach engineers and foster a high-performance culture.\n, • Experience developing products that drive user action from data.\nWhy Work at Just Eat Takeaway.com?\n Headquartered in Amsterdam and listed on the London Stock Exchange, Just Eat Takeaway.com is a leading global online food delivery marketplace. We connect millions of customers with over 155,000 restaurants across 24 countries, offering a diverse range of cuisines. \n We empower independent restaurants to move online, helping them reach a broader customer base and grow their businesses. Our commitment to nurturing our employees is reflected in our diverse and inclusive workplace, where everyone can thrive. Diversity, Inclusion & Belonging\n At Just Eat Takeaway.com, we celebrate diversity and are committed to creating an inclusive culture where all employees feel they belong and can bring their authentic selves to work every day. More About Us\n Curious about our company vision, culture, or career growth opportunities? Explore more on our careers site!

Entity: Technology Job Family Group: IT&S Group Job Description: We are seeking an experienced Senior Data Engineer to design, build and operate scalable data platforms, pipelines and products that enable data-driven decision making across Finance. This role combines strong software engineering practices with modern cloud data technologies to deliver trusted, secure and high-quality data products. The successful candidate will work closely with business partners, product teams, architects, data managers and analytics specialists to transform complex business requirements into robust data solutions. They will lead technical delivery, drive engineering excellence and help establish modern data engineering practices across the organisation. • Design, develop and maintain scalable data pipelines and integrations., • Build and operate cloud-based data platforms, data products and analytical datasets., • Develop reusable frameworks, automation and engineering patterns to accelerate delivery., • Ensure data solutions are secure, performant, resilient and cost-efficient., • Implement CI/CD, automated testing, monitoring and observability across data platforms., • Translate business requirements into data models, pipelines and technical solutions., • Design logical and physical data models supporting reporting, analytics, AI and operational use cases., • Collaborate with enterprise and solution architects to align solutions with strategic technology standards., • Evaluate new technologies and recommend improvements to existing platforms., • Support implementation of data governance, quality, lineage and metadata management practices., • Ensure data assets meet applicable regulatory, audit and control requirements., • Drive improvements in data quality and trusted data consumption., • Provide technical leadership across delivery teams., • Mentor and coach data engineers and development teams., • Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders., • Contribute to engineering standards, best practices and continuous improvement initiatives., • Significant experience delivering enterprise-scale data engineering solutions., • Strong SQL and data modelling expertise., • Experience with cloud data platforms, with Azure experience preferred., • Experience building ELT/ETL pipelines and data integration solutions., • Strong software engineering practices, including source control, testing, CI/CD and automation., • Experience with big data, streaming and modern data architectures., • Knowledge of security, access controls and data governance requirements., • Strong problem-solving and systems-thinking capability., • Ability to balance strategic design with hands-on delivery., • Comfortable operating in complex, global organisations., • Strong partner management and communication skills., • Demonstrated ability to work through ambiguity and drive outcomes., • Finance, Treasury, Tax, FP&A or ERP data domains., • SAP, S/4HANA, Fiori or enterprise finance platforms., • Data products supporting AI, machine learning or generative AI use cases., • Experience with Databricks, Microsoft Fabric, Snowflake or comparable cloud data platforms., • Experience operating within Agile product teams., • Lead significant technical workstreams independently., • Make key engineering and design decisions., • Influence technical direction across multiple teams., • Mentor engineers and raise engineering standards., • Deliver business-critical outcomes with limited supervision., • Be recognised as a subject matter expert within their domain. Why join us? At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity. There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others! We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation. Reinvent your career as you help our business meet the challenges of the future. Apply now! Travel Requirement Up to 10% travel should be expected with this role Relocation Assistance: This role is not eligible for relocation Remote Type: This position is a hybrid of office/remote working Skills: Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving . Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time. Legal Disclaimer: We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please _. If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.

• Must have active SC or DV Clearance, • Mid to Lead levels available, • Up to £85 DoE plus package, • Circa 3 days on site in London Our client is a leading secure sector consultancy with a firmly established Palantir Data team. They’re in an exciting period of growth due to increased end-customer demand. They work on complex, mission-focused programmes, using Palantir platforms to transform disparate data into trusted information assets, operational capabilities and actionable insights. You’ll be responsible for designing, developing and deploying scalable data solutions across the Palantir Foundry ecosystem, working closely with technical teams and client stakeholders. The role will involve building data pipelines and models, integrating diverse data sources, and supporting applications across the Palantir stack. • Building and optimising ETL/data pipelines within Palantir Foundry, • Ingesting, transforming and enriching batch, streaming, real-time and unstructured data, • Developing logical and physical data models and Foundry Ontologies, • Designing scalable and high-performance Foundry architectures, • Implementing data governance, quality, metadata and lineage processes, • Developing user-facing applications using low-code and pro-code approaches, • Optimising and troubleshooting pipelines for performance, reliability and scalability, • Developing reusable solutions using Python and/or TypeScript, • Building and maintaining military workflows in Palantir Gotham, • Working within Agile teams and contributing across the full SDLC, version control and CI/CD, • Strong commercial experience with Palantir Foundry, • Experience with Palantir Gotham, • Data engineering experience across ETL, pipelines and workflow orchestration, • Strong understanding of data modelling, Ontology design and database optimisation, • Experience working with varied data sources and formats, • Proficiency in Python and/or TypeScript, • Understanding of CI/CD, Git and software development lifecycle practices, • Knowledge of data governance, security, metadata, lineage and master data, • Strong stakeholder communication and ability to translate business requirements into technical solutions, • Defence, Government or other secure-sector experience would be advantageous Palantir / Palantir Foundry / Palantir Gotham / Foundry Data Engineer / Data Engineering / ETL / Data Pipelines / Data Modelling / Ontology / Ontology Design / Python / TypeScript / CI/CD / Git / Data Governance / Metadata / Data Lineage / Workflow Orchestration / Batch Data / Streaming Data / Real-Time Data / Defence / National Security / Government / DV / Developed Vetting #J-18808-Ljbffr

Lead Software Engineer / Deep Tech / London (On-site) | up to £150k + equity A London deep tech company building the software backbone for the autonomous age. Their platform lets operators orchestrate fleets of robots, sensors and autonomous systems, fuse the vast data they generate, and turn it into decisions made faster than any adversary can react. Real systems, deployed in the world's most demanding environments, relied on when it actually matters. Well funded, scaling hard, and engineering led to the core. This is not CRUD. You'll be architecting systems that ingest and fuse high volume, heterogeneous sensor streams in real time, coordinate autonomous agents over unreliable and contested networks, and surface complex state to operators through interfaces that have to be right the first time. Think low latency distributed systems, resilience under partition, and correctness guarantees where the cost of a bug is not a bad quarter. • Own a core technical domain of the flagship platform end to end, architecture, hard technical decisions, and delivery., • Design distributed, fault tolerant services that stay correct and performant under adversarial, resource constrained, and intermittently connected conditions., • Build the data layer that turns raw multi source sensor feeds into a coherent, queryable, real-time picture., • Set the engineering bar: system design, code review, testing strategy, and the DevSecOps and database practices the team builds on., • Operate as a player / coach, hands-on in the codebase daily, while mentoring and levelling up a small team of strong engineers. You're deep in at least one server-side language, C++, Rust, Java or Python, and you reason fluently about concurrency, memory, and performance. You've designed distributed systems, not just used them. You care about the data layer (PostgreSQL and friends) and you think about security as a first class concern, not an afterthought. Bonus points for embedded / resource constrained targets, Kubernetes, streaming pipelines, or having shipped things that run somewhere hostile. Managed small teams or mentored juniors, you could be an interesting fit. • On site in London, by default. This team ships together in a room., • Been in the UK for the last 5 years, in order to obtain the necessary qualification for the business. Up to £150k base, meaningful equity, and the rare thing: a staff level seat where your architecture decisions ship into systems that matter, at a company early enough that you shape what it becomes. #deeptech #AI #c2 #J-18808-Ljbffr

2026-10-04T00:00:00 Virginia Water Surrey GB GU25 4 Any 2027-01-03T03:02:38.57 Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. • Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact., • Design scalable batch and streaming data platforms that power analytics, experimentation, machine learning, and subscriber experiences., • Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions., • Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads., • Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability., • Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem., • Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement., • You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision., • You have extensive experience designing, building, and operating large-scale cloud-native data platforms., • You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools., • You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices., • You know how to balance immediate business needs with long-term architectural sustainability., • You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone., • You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership., • You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback., • You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and business success. We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here: #s1-Gen Spotify is on an ambitious path to reach one billion users and 100 billion in revenue, and the Subscriptions User Understanding team plays a key role in making that possible. Our team builds the foundational data platform that helps Spotify understand conversion, retention, engagement, and subscriber health for more than 200 million Premium subscribers around the world. We enable better decisions across analytics, experimentation, machine learning, and product development. We're looking for a Staff Data Engineer who combines deep technical expertise with strategic thinking. You'll help define the long-term direction of our data ecosystem, influence engineering across multiple teams, and build the foundations that will scale with Spotify's future. What You’ll Do Define and drive the long-term data engineering strategy for the Subscriptions User Understanding domain, identifying opportunities that improve scalability, reliability, and business impact. Design scalable batch and streamingdata platforms that power analytics, experimentation, machine learning, and subscriber experiences. Partner with Product, Engineering, Data Science, Analytics, and Platform teams to turn complex business challenges into durable, well-designed data solutions. Lead architectural decisions and establish engineering best practices for data quality, governance, observability, reliability, and operational excellence across multiple squads. Design data models and platform architecture that support sustainable growth toward one billion users while balancing performance, cost, and maintainability. Simplify complex systems, reduce technical debt, and improve the developer experience across the broader data ecosystem. Mentor senior engineers, influence technical direction through collaboration, and help foster a culture of thoughtful engineering, knowledge sharing, and continuous improvement. Who You Are You enjoy solving broad, cross-cutting engineering challenges and bringing teams together around a shared technical vision. You have extensive experience designing, building, and operating large-scale cloud-native data platforms. You have deep experience building reliable distributed data pipelines using technologies such as Scio, BigQuery, Dataflow, GCS, SQL, Python, or similar cloud-native tools. You have a strong understanding of modern data modeling, metadata management, governance, and data quality practices. You know how to balance immediate business needs with long-term architectural sustainability. You influence technical direction through strong communication, sound judgment, and collaboration rather than formal authority alone. You communicate effectively with engineers, product managers, data scientists, analysts, and senior leadership. You enjoy mentoring engineers and helping technical teams grow through coaching, technical guidance, and thoughtful feedback. You are motivated by building platforms that directly influence Spotify's long-term subscriber growth and businesssuccess. Where You'll Be We offer you the flexibility to work where you work best! For this role, you can be within the EMEA region as long as we have a work location (excluding France due to on-call restrictions). This team operates within the Central European and GMT time zone for collaboration. 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. We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us. Find our AI notice here #J-18808-Ljbffr

Locum Ready is looking for a Locum Nurse Practitioner to work for a GP practice in West Drayton. This role is designed for an NP confident in managing minor illness presentations, supporting urgent on-the-day demand and contributing to the smooth running of daily clinical activity. You will deliver autonomous NP-led clinics, provide efficient triage support and help maintain continuity of care for patients. The practice offers strong clinical oversight, a friendly multidisciplinary team and clearly defined clinic structures to ensure effective and manageable sessions. • Running minor illness and urgent care NP clinics, • Telephone triage and patient streaming, • Assessing, diagnosing and managing undifferentiated presentations, • Prescribing independently where qualified, • Reviewing investigations and actioning follow-up tasks, • Ensuring accurate documentation within the clinical system, • Supporting GPs and Practice Nurses with core clinical duties, • Registered Nurse Practitioner with relevant experience, • Independent Prescribing qualification desirable, • Background in primary care, urgent care or community nursing, • Confident autonomous clinician with strong clinical judgement, • Familiarity with EMIS, SystmOne or Vision, • Enhanced DBS, • Regular or ad-hoc sessions, • Morning and afternoon clinics, • Long-term opportunities available Locum Ready specialises in recruiting for every primary care role across the UK, including GPs, ANPs, ACPs, Practice Nurses, HCAs, Pharmacists and multidisciplinary practice staff. We offer reliable, flexible locum and permanent positions to match your availability, skills and long-term goals - ranging from one-off sessions to consistent long-term placements. Explore current opportunities at www.locumready.co.uk. #J-18808-Ljbffr

engineer within this team, joining with the opportunity to shape our Platform vision and team culture as we grow and expand. The platform team also works closely with our Data and ML Platform teams on an advisory basis, providing best practises and advice where needed. These are some of the key components to the position: You will contribute to both the design and implementation of the platform: Collaborate on the design and implementation of platform capabilities using Kubernetes-native patterns and event-driven architectures. Drive the adoption of platform engineering principles, building reusable abstractions and self-service workflows for internal users. Design and implement Kubernetes controllers/operators in Go to automate infrastructure and application lifecycle management. Mentor engineers and contribute to growing platform engineering practices across our pillar in the Data and ML Platform teams. Collaborate across teams to align on platform interfaces, abstractions, and shared. Ready for a challenge? Then Just Eat Takeaway.com might be the place for you. We're a leading global online delivery platform, and our vision is to empower everyday convenience. Whether it's a Friday-night feast, a post-gym poke bowl, or grabbing some groceries, our tech platform connects tens of millions of customers with hundreds of thousands of restaurant, grocery and convenience partners across the globe. You'll be working within our Intelligence Platform Core team, responsible for underlying platform infrastructure across our new Data & ML Platforms within JET. Within the past year we've built new Data & ML Platforms on AWS and the Intelligence Platform Core team sits at the heart of both of them, creating self service experiences for running data and ML workflows without exposing the underlying complexity of Kubernetes and cloud infrastructure. We aim to provide a scalable, reliable and seamless platform experience for our users. You are the second full time, infrastructure patterns. Support the hiring of new engineers as we expand the team, setting the bar on quality of code and collaboration. • You have strong experience building cloud-native platforms on AWS, GCP, or Azure, with a deep understanding and hands on experience of Kubernetes., • You are proficient in Go, particularly for building backend services, CLIs, or Kubernetes controllers/operators., • You are experienced with GitOps and CI/CD systems, and understand how to build reliable, automated delivery pipelines., • You understand distributed systems and have experience designing scalable, resilient architectures., • You have experience building self-service platforms or internal developer platforms (IDPs)., • You care deeply about developer experience, usability, and reducing cognitive load through good abstractions., • You communicate clearly and enjoy collaborating across teams to drive platform adoption., • Experience with data technologies and processes, such as streaming and batch processes and large data storage systems. Our teams forge connections internally and work with some of the best-known brands on the planet, giving us truly international impact in a dynamic environment. Being the best at what we do isn't just about delivering on our strategy. It's a competition for something incredibly valuable - our customers' choice. At the heart of the JET Customer League are our values and behaviours. They guide every interaction, every decision, every innovation. These are the actions we need to perform consistently and brilliantly, to surpass the competition and earn our customers' loyalty, again and again. Fun, fast-paced and supportive, the JET culture is about movement, growth, helping one another to succeed and celebrating wins. By truly living our values and embodying our behaviours, we're building a customer-first culture which enables us to stay one step ahead of the competition. No matter who you are, what you look like, who you love, or where you are from, you can find your place at Just Eat Takeaway.com. We're committed to creating an inclusive culture, encouraging diversity of people and thinking, in which all employees feel they truly belong and can bring their most colourful selves to work every day. What else are we delivering? Want to know more about our JETers, culture or company? Have a look at our career site where you can find people's stories, blogs, podcasts and more JET journeys. #J-18808-Ljbffr

Location: Wallingford - Oxfordshire (Hybrid) onsite circa 1-2 days per month Permanent At Dexory, we are transforming the warehousing and logistics industry through data intelligence. We’re currently recruiting for a full stack developer to join our Platform Engineering team, the versatile group responsible for the internal tooling, infrastructure and special projects that power our robot fleet and data pipelines. You will own features across the whole path: the Go service that ingests telemetry from a robot scanning a warehouse in Ohio, and the interface a field engineer opens at two in the morning to work out why that robot stopped. Offices based in Wallingford, Oxford and looking for someone who can do circa 1-2 days per month on site. Any experience within robotics or start up / scale up environments highly desirable. • End-to-end delivery: take features from data model through Go service to the interface, rather than handing off at a boundary., • Internal tooling and infrastructure: build and maintain software systems and internal APIs that support our robotics operations and data processing pipelines., • Interfaces for engineers and operators: build data-dense React and TypeScript interfaces that make large volumes of telemetry and scan data legible and fast to work with., • Real-time data systems: work with WebRTC, WebSockets, gRPC and Zenoh to move live telemetry and video from robot to browser., • Backend proficiency: hands-on experience building backend services in Go, or in a comparable statically typed language with real appetite to work in Go. Our services are written in Go and we expect you to be productive in it quickly., • Front-end capability: solid React and TypeScript, comfortable building dense, interactive tools rather than only forms and content pages, and interested in why a view is slow rather than resigned to it., • 3D, spatial or map-based interfaces: three.js, WebGL, deck.gl or Cesium., • Robotics, IoT platforms or other hardware-adjacent software., • Video streaming pipelines, or previous hands-on work with WebRTC., • Messaging and serialisation middleware such as Protobuf, Zenoh or MQTT., • Warehouse, logistics or supply chain systems. Starting from the interview process and continuing into your career with us, you will be working by our four Operating Principles: • Performance: High standards, outstanding results,, • Impact: Big challenges, bigger results, • Commitment: All in, every time, • One team: One mission, shared success Joining our team and company isn't just about expertise; it's about embracing uncertainty with ambition. We're crafting world-changing solutions, fuelled by a passion to redefine what's possible. We will look for you to help create and shape the future of logistics solutions through our products, our culture and our shared vision. You will also receive: • Private healthcare via Bupa with 24/7 medical helpline, • Life insurance, • Income protection, • Pension: 4+% employee with option to opt into salary exchange, 5% employer, • Employee Assistance Programme - mental wellbeing, financial and legal advice/support, • 25 days holiday per year + bank holidays, • Full meals onsite in Wallingford, • Fun team events on and offsite, snacks of all kinds in the office Dexory provides equal employment opportunities to all employees and applicants for employment. It prohibits discrimination and harassment of any type without regard to race, colour, religion, age, sex, national origin, disability status, genetics, protected veteran status, or any other characteristic protected by local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. #J-18808-Ljbffr

We are partnering with a leading global sports organisation to recruit a Digital Product Executive to join its growing product team. This is a hands-on, varied opportunity for a tech-savvy problem solver who enjoys learning quickly, working across different digital platforms and getting things done. Rather than being a traditional product or software engineering role, you'll sit at the heart of the organisation's digital operations, working across web, data, event technology, digital products, live events and AI-driven automation. It's an ideal role for someone early in their career who wants broad exposure across sports technology and digital product, rather than being restricted to one specialist area. • Managing day-to-day website and CMS operations, including content, pages, schedules, FAQs and event information., • Building and managing event registration journeys, including forms, pricing, capacity and conditional logic., • Supporting race results, athlete data and database workflows, ensuring accuracy and smooth delivery., • Working with SQL and customer/athlete data to support reporting and dashboards., • Supporting AI and automation initiatives to improve processes and reduce manual work., • Supporting live data and broadcast technology during major sporting events., • Testing and improving digital products including apps, streaming, membership and customer platforms., • Working with internal teams and external technology partners to solve problems and keep digital operations running smoothly., • 1-3 years' experience in digital product, web operations, sports tech, digital technology or a similar environment., • Degree-level education (or equivalent) in a relevant discipline such as STEM, Business, Digital, Technology or Sports Management., • Experience working with CMS platforms and digital/web tools., • Knowledge or experience of SQL and relational databases., • Strong technical aptitude and the ability to quickly learn new platforms and systems., • A proactive, adaptable "get things done" mentality with high attention to detail., • Strong organisational, analytical and problem-solving skills., • Excellent communication and stakeholder management skills., • An interest in AI and automation and how technology can improve the way teams work., • A genuine passion for sport. You'll join a fast-moving, international sports organization and gain exposure to a wide and evolving digital ecosystem, working across product, data, technology and live events. If you're someone who is naturally curious, technically minded and loves solving problems, this is an opportunity to build a broad career in digital product and sports technology. #J-18808-Ljbffr

Entity:TechnologyJob Family Group:IT&S GroupJob Description:Role SummaryWe are seeking an experienced Senior Data Engineer to design, build and operate scalable data platforms, pipelines and products that enable data-driven decision making across Finance. This role combines strong software engineering practices with modern cloud data technologies to deliver trusted, secure and high-quality data products.The successful candidate will work closely with business partners, product teams, architects, data managers and analytics specialists to transform complex business requirements into robust data solutions. They will lead technical delivery, drive engineering excellence and help establish modern data engineering practices across the organisation.Key ResponsibilitiesData Platform and EngineeringDesign, develop and maintain scalable data pipelines and integrations.Build and operate cloud-based data platforms, data products and analytical datasets.Develop reusable frameworks, automation and engineering patterns to accelerate delivery.Ensure data solutions are secure, performant, resilient and cost-efficient.Implement CI/CD, automated testing, monitoring and observability across data platforms.Solution DesignTranslate business requirements into data models, pipelines and technical solutions.Design logical and physical data models supporting reporting, analytics, AI and operational use cases.Collaborate with enterprise and solution architects to align solutions with strategic technology standards.Evaluate new technologies and recommend improvements to existing platforms.Data Management and GovernanceSupport implementation of data governance, quality, lineage and metadata management practices.Ensure data assets meet applicable regulatory, audit and control requirements.Drive improvements in data quality and trusted data consumption.Leadership and CollaborationProvide technical leadership across delivery teams.Mentor and coach data engineers and development teams.Collaborate with Product Managers, Data Scientists, AI Engineers and Finance stakeholders.Contribute to engineering standards, best practices and continuous improvement initiatives.Essential Skills and ExperienceTechnicalSignificant experience delivering enterprise-scale data engineering solutions.Strong SQL and data modelling expertise.Experience with cloud data platforms, with Azure experience preferred.Experience building ELT/ETL pipelines and data integration solutions.Strong software engineering practices, including source control, testing, CI/CD and automation.Experience with big data, streaming and modern data architectures.Knowledge of security, access controls and data governance requirements.Ways of WorkingStrong problem-solving and systems-thinking capability.Ability to balance strategic design with hands-on delivery.Comfortable operating in complex, global organisations.Strong partner management and communication skills.Demonstrated ability to work through ambiguity and drive outcomes.Preferred ExperienceFinance, Treasury, Tax, FP&A or ERP data domains.SAP, S/4HANA, Fiori or enterprise finance platforms.Data products supporting AI, machine learning or generative AI use cases.Experience with Databricks, Microsoft Fabric, Snowflake or comparable cloud data platforms.Experience operating within Agile product teams.ExpectationsLead significant technical workstreams independently.Make key engineering and design decisions.Influence technical direction across multiple teams.Mentor engineers and raise engineering standards.Deliver business-critical outcomes with limited supervision.Be recognised as a subject matter expert within their domain.Why join us?At bp, we support our people to grow in a diverse and exciting environment. We believe that our team is strengthened by diversity.There are many aspects of our employees’ lives that are meaningful, so we offer benefits to enable your work to fit with your life. These benefits can include flexible working options, a generous paid parental leave policy, excellent retirement benefits, among others!We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.Reinvent your career as you help our business meet the challenges of the future. Apply now!Travel RequirementUp to 10% travel should be expected with this roleRelocation Assistance:This role is not eligible for relocationRemote Type:This position is a hybrid of office/remote workingSkills:Commercial Acumen, Communication, Data Analysis, Data cleansing and transformation, Data domain knowledge, Data Integration, Data Management, Data Manipulation, Data Sourcing, Data strategy and governance, Data Structures and Algorithms (Inactive), Data visualization and interpretation, Digital Security, Extract, transform and load, Group Problem Solving.Future Location Notice: This role will start in Sunbury, London. bp has announced a planned office move to Timber Square, London, with all positions currently advertised in Sunbury, including this one, expected to relocate around Q4 2027-Q1 2028. This presents an exciting opportunity for all employees and leaders to come together in one London location. The specific date of the move will be confirmed closer to the time.Legal Disclaimer:We are an equal opportunity employer. We do not discriminate on the basis of protected characteristics like race, religion, color, sex, national origin, sexual orientation, veteran status or disability status. Individuals with an accessibility need may request an adjustment/accommodation related to bp’s recruiting process (e.g., accessing the job application, completing required assessments, participating in telephone screenings or interviews, etc.). If you would like to request an adjustment/accommodation related to the recruitment process, please contact us.If you are selected for a position and depending upon your role, your employment may be contingent upon adherence to local policy. This may include pre-placement drug screening, medical review of physical fitness for the role, and background checks.Expand job descriptionDisclaimerThis is a high-level summary only of terms and current discretionary benefits applicable to certain roles. Some rewards, benefits and policies are at managers’ discretion and vary depending on where you work within the business. All terms subject to contract and all discretionary benefits subject to policy and eligibility. #J-18808-Ljbffr

Our client is a leading global investment management company headquartered in London. It manages over $228 billion in assets and serves institutional investors, pension funds, wealth managers, and other sophisticated clients worldwide. The firm specializes in quantitative investing, alternative investments, systematic trading strategies, and technology-driven asset management. Data science, machine learning, and AI are core components of its investment and research processes. As part of our collaboration we will focus on two foundational capabilities required to enable safe and scalable AI adoption across the enterprise: Agentic Security and AI-Ready Data Foundations. We build the data foundations that make AI useful and safe inside regulated financial firms. The value of AI is capped by the data its agents can reach: if an agent cannot find, interpret, trace or be correctly permissioned against data, the capability is useless, or worse, unsafe. Your job is to close that gap. This is a hands-on senior role for an excellent Python engineer with strong data-engineering skills who is genuinely comfortable building with AI agents. You will design and build the catalogue, semantic, entitlement and analytical layers that turn large on-premise data estates into something agents can use. Requirements: • 5+ years building production data systems in Python, with strong engineering fundamentals (testing, code review, performance) and solid SQL., • Experience building crawlers, harvesters or connector frameworks that extract inventories, schemas, field dictionaries and lineage from databases, filesystems, message platforms and API surfaces, in addition to conventional data pipelines., • Event-driven integration with Kafka or similar, including secure producer patterns (mTLS or equivalent) and schema-managed topics., • Experience with search and document stores that back catalogue platforms (e.g. Elasticsearch, OpenSearch, MongoDB or similar)., • Working knowledge of lineage capture and modelling, with OpenLineage or similar as a reference, and readiness to work with proprietary in-house event models., • Experience applying LLMs to metadata work, such as drafting descriptions and classifications for human review, including quality evaluation of the generated output., • Readiness to work inside another team's codebase, complete components that the team has designed, and contribute through its review process., • Fluent English for written and spoken communication with client teams. Will be a plus • Time-series and tick stores (e.g. kdb+ or similar columnar time-series databases), market-data vendor schema APIs, symbology and asset-class concepts (market-data opening)., • MS SQL Server estates, reporting and BI systems, inventory extraction from application metadata tables (reporting opening)., • Columnar and lake formats (Parquet or similar), large object stores, orchestration platforms (Airflow or similar)., • Working-level knowledge of graph databases; data contracts and data quality frameworks; catalogue platforms (DataHub or similar) on the ingestion side., • Day-to-day use of AI coding agents; building data services consumed by AI agents., • Experience in financial services or other regulated on-premise environments. Responsibilities: • Build extraction, enrichment and registration paths that populate domain catalogues from live estates (databases, time-series stores, streaming platforms, filesystems, internal and vendor APIs) and connect them to the client's central catalogue through its existing mechanisms., • Extend an existing scraping capability from bare dataset and symbol inventories to full metadata: descriptions, field-level dictionaries, date ranges, asset-class and cadence tags, vendor provenance., • Load vendor schema metadata at scale, through vendor APIs, into a persistent internal knowledge base designed for step-by-step disclosure to humans and LLMs., • Seed report and dataset inventories from existing application metadata tables and ETL sources; combine them with LLM-drafted descriptions approved by stewards., • Integrate lineage into the client's lineage backend across batch, streaming and cross-system report chains, completing the client's existing registration designs., • Implement the federation contract defined by the architect: stable identities, ownership, hierarchy, links and availability state exposed by each local catalogue to the central layer., • Keep metadata current through scheduled and event-driven refresh, with explicit staleness detection and quality signals. #J-18808-Ljbffr

Boomi Architect - Remote - 5 months+ - Circa £600 per day outside ir35 Please note: Due to the nature of the project, successful applicants will be required to be SC cleared prior to appointment. My client is a global leading IT consultancy. They are on the hunt for a Boomi Architect to join a central government client of theirs. Must have iPaaS implementation experience as well as strong Stakeholder management skills. Pure theory only candidates are not suitable. Responsibilites: • Integration Adoption & Project Onboarding, • Reusable Integration Asset Library, • API Management Capability Enablement, • Event Streaming Capability Enablement, • Engineering & Supplier Technical Leadership, • Platform Operational Readiness, • Integration Governance & Assurance, • Platform Roadmap & Capability Evolution, • Data Sharing Discovery & Solution Design Boomi Architect - Remote - 5 months+ - Circa £600 per day outside ir35 Damia Group Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept our Data Protection Policy which can be found on our website. Please note that no terminology in this advert is intended to discriminate on the grounds of a person's gender, marital status, race, religion, colour, age, disability or sexual orientation. Every candidate will be assessed only in accordance with their merits, qualifications and ability to perform the duties of the job. Should the role require the successful candidate to undergo and be eligible for UK Security Vetting. Clearance sponsorship will be provided where required. Due to the nature of the work, candidates should meet the relevant residency requirements. If applicable, Reserved Post nationality restrictions will be confirmed by the client. Damia is committed to inclusive recruitment and welcomes applicants from all backgrounds. Damia Group is acting as an Employment Business in relation to this vacancy and in accordance to Conduct Regulations 2003. JBRP1_UKTJ

I'm supporting a leading UK pay-TV broadcaster in the search for a Project Engineer to help deliver projects across its broadcast headend infrastructure. This is a hands-on engineering role focused on encoding, multiplexing and transport stream technologies, supporting a platform that delivers television services to millions of households across the UK and Ireland. • Deliver end-to-end engineering projects across the broadcast headend, from design through to implementation and operational handover., • Configure and support Ericsson/Tandberg (MediaKind) MX8400/MX400 multiplexers and Harmonic ProStream platforms., • Build, validate and troubleshoot MPEG transport streams, including statistical multiplexing, SI/PSI, EPG data and conditional access., • Plan and implement changes within a live 24/7 broadcast environment., • Produce technical documentation, test plans, and implementation records., • Investigate complex streaming and multiplexing issues using industry monitoring and analysis tools., • Work closely with playout, distribution, satellite, and network engineering teams., • Experience with Ericsson/Tandberg/MediaKind multiplexers and/or Harmonic ProStream., • Strong understanding of MPEG-2/H.264, DVB standards and transport stream architecture., • Experience delivering engineering projects in live broadcast environments., • Knowledge of conditional access and scrambling workflows., • Experience using transport stream analysis and monitoring tools., • Experience with a broadcaster, pay-TV platform, managed service provider or broadcast technology vendor., • Exposure to IP video transport (SMPTE 2022/2110), multicast or virtualised headend technologies., • Satellite/DTH distribution experience. You'll join a highly experienced engineering team responsible for one of Europe's most significant broadcast headend estates, working on both existing infrastructure and next-generation platform evolution. It's an opportunity to own technically challenging projects that directly support services watched by millions every day. #J-18808-Ljbffr

Matchtech is seeking an experienced Senior Data Fabric Engineer to join their team in Farnborough.This role involves designing and implementing advanced data architectures for Defence & Security applications, ensuring efficiency in data integration and automation for analysts.The ideal candidate wil

Amazon is seeking a System Engineer for the Messaging and Streaming Team in the UK.

Amazon Development Centre (London) Limited is seeking a software quality tester for Prime Video device certification.You will test features on living room devices, design and execute tests, and collaborate with TV/set-top box manufacturers to ensure high-quality certification.The role requires pract

Seeking a Linux DevOps Engineer to support migration to AWS and maintain 24/7 streaming services.

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu

Start Delivering with Uber Eats.Delivering with Uber Eats offers a flexible way of making money.It is a great alternative to traditional part-time delivery jobs or other part-time gigs, temp jobs or seasonal work.See how delivering with the Uber app can help you make money flexibly.You decide how mu