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# Software Engineer III, Full Stack, Publisher Inventoryat Google • London, UKBack to jobs1. Home2. Jobs3. UK4. Software Engineer III, Full Stack, Publisher Inventory4h agoG Software Engineer III, Full Stack, Publisher InventoryGoogle00Software EngineeringFull-timeLondon, UKApply Job Job DescriptionGoogle's software engineers develop the next-generation technologies that change how billions of users connect, explore, and interact with information and one another. Our products need to handle information at massive scale, and extend well beyond web search. We're looking for engineers who bring fresh ideas from all areas, including information retrieval, distributed computing, large-scale system design, networking and data storage, security, artificial intelligence, natural language processing, UI design and mobile; the list goes on and is growing every day. As a software engineer, you will work on a specific project critical to Google's needs with opportunities to switch teams and projects as you and our fast-paced business grow and evolve. We need our engineers to be versatile, display leadership qualities and be enthusiastic to take on new problems across the full-stack as we continue to push technology forward.Google Ads is helping power the open internet with the best technology that connects and creates value for people, publishers, advertisers, and Google. We're made up of multiple teams, building Google's Advertising products including search, display, shopping, travel and video advertising, as well as analytics. Our teams create trusted experiences between people and businesses with useful ads. We help grow businesses of all sizes from small businesses, to large brands, to YouTube creators, with effective advertiser tools that deliver measurable results. We also enable Google to engage with customers at scale.ResponsibilitiesDesign, develop, and maintain clean, scalable products for developer-facing monetization platforms and ad configuration interfaces. Build automated runtime solutions and event-driven systems that control and optimize ad placement, policy compliance, and publisher revenue. Leverage Google's state-of-the-art AI tooling and LLM APIs to improve engineering velocity and build AI-augmented product features. Collaborate with cross-functional partners including PMs, UX, and cross-sites with other engineering partners to deliver seamless end-to-end features. Write robust, well-tested, and high-performance code, ensuring high quality and reliability across our platform. Skills Required Kotlin C++ TypeScript Dart Angular Java APIs SDKs LLM APIs Generative AI Tags:UKLondonAngular DeveloperFlutter DeveloperShare Job:Application planning What to evaluate before applying Visa and relocation signals Visa sponsorship is not explicitly marked on this role. Relocation support is not explicitly marked. Primary route to review: Skilled Worker Visa. Salary and location checks No salary range is disclosed on this listing. Location to plan around: London, United Kingdom. This role is not marked as remote. Company context Google has active SoftwareCareers listings in the current job inventory. Use the company profile and apply link to verify the opening.Google profile Interview preparation Experience signal: Mid level experience. Minimum 2 years of experience with full stack development, across back-end such as Kotlin, C++ codebases, and front-end experience including TypeScript or equivalent. 2 years of experience with software development in one or more programming languages, or 1 year of experience with an advanced degree. Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity Prepare examples for: Kotlin, C++, TypeScript, Dart, Angular. Compare similar roles before applying.United Kingdom jobsSkilled Worker Visa jobsUnited Kingdom salary guideSalary calculatorRelocation calculatorGoogle sponsorship jobs Get roles like Software Engineer III, Full Stack, Publisher InventoryReceive verified Software Engineering jobs with visa and relocation signals. Explore related hubsCountry hubUnited Kingdom JobsCompany pageGoogle JobsSalary pageSoftware Engineer SalaryVisa pageSkilled Worker Visa JobsCountry guideUnited Kingdom Relocation GuideCompany directoryVisa Sponsoring CompaniesDatasetVisa Jobs Index Job application FAQDoes this Software Engineer III, Full Stack, Publisher Inventory role at Google offer visa sponsorship?: Check the job description and apply link for relocation or sponsorship details for this Google role.How do I apply for Software Engineer III, Full Stack, Publisher Inventory at Google?: Use the direct apply button on this page to reach the employer application flow without a middleman.Is this Google job verified on SoftwareCareers?: Yes. Listings are manually reviewed for employer authenticity before publication on SoftwareCareers. 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Preferred qualifications: 1 year of experience with application development in Android or iOS. Experience working with Dart or Angular and Java. Experience designing and implementing developer-facing APIs, SDKs, or cross-platform wrappers. Experience building monetization platforms, ad configuration interfaces, or automated runtime engines. Experience leveraging LLM APIs, generative AI tools, or modern AI-assisted workflows to build smart product features or improve engineering velocity.

Overview We are seeking a technically adept Business Analyst to bridge business needs and technology solutions, focusing on functional design and outcome-driven product delivery within the Technology & Digital Services (TDS) portfolio. This role enables NextEnergy Group's digital transformation by ensuring requirements are clearly defined, validated, and translated into scalable, secure, and user-centric solutions. You will work closely with product managers, UX/UI designers, engineers, and data teams to capture requirements, design functional specifications, and support delivery across multiple platforms and applications. Responsibilities Requirements Gathering & Analysis Engage stakeholders to elicit, document, and validate business requirements. Translate business needs into functional specifications, process flows, and user stories with clear acceptance criteria. Analyse existing workflows and identify opportunities for digitization and optimization. Functional Design & Documentation Develop detailed functional designs, including data models, integration points, and system interactions. Ensure designs align with architectural standards, security policies, and compliance requirements. Maintain up-to-date documentation throughout the product lifecycle. Product Delivery & Agile Support Collaborate with product managers and engineering teams to prioritize backlog items and ensure timely delivery. Participate in agile ceremonies, providing clarity on requirements and functional design. Support testing phases by validating functionality against requirements and assisting with defect resolution. Data & Integration Focus Work with data engineering teams to define data requirements, mappings, and transformation rules. Ensure functional designs accommodate integration with cloud platforms and analytics tools. Partner with compliance and security teams to ensure adherence to regulatory and governance standards. Identify and mitigate functional risks early in the design process. Qualifications & Skills Strong analytical and problem-solving skills with attention to detail. Proficiency in creating functional specifications, process maps, and user stories. Familiarity with data platforms, APIs, and integration patterns. Excellent communication skills able to translate technical concepts for non-technical stakeholders. Knowledge of agile delivery practices and tools (e.g., Azure DevOps). Understanding of regulatory and compliance requirements in technology solutions. Passion for our mission to generate a more sustainable future by leading the transition to clean energy Our values: be a leader, build trust, be responsible, be innovative and bring your alpha. Experience & Qualifications Prior experience as a Business Analyst in a technology-driven environment. Hands-on experience with functional design for complex systems and integrations. Exposure to data platforms and analytics tools is advantageous. Experience working in regulated industries (energy, finance, utilities, or similar). The right to work in the UK. What We Offer A busy role in a supportive team, with plenty of opportunities to learn International scope - we operate in over 8 countries Hybrid working - presence in central London (Mayfair) office at least twice a week, with remote work otherwise 30 days' holiday per year (3 days during the December festive shutdown) BUPA Healthcare for you and qualifying dependents Cycle to work and electric vehicle leasing schemes Annual discretionary bonus How to Apply If you are interested in this opportunity, please follow the link to apply or send your application to . If you have been shortlisted for the next stage, we will be in contact within 14 days. Diversity and Inclusion Our approach to diversity and inclusion is a natural extension of our values. Our entrepreneurial culture inspires us to try new things, be open to different viewpoints and be bold. Our Group is committed to cultivating and preserving a culture of connectedness that values difference and gives space for individual expression. The collective sum of our individual differences, life experiences, knowledge, innovation, self-expression, and talent and hard work form the bedrock of who we are and who we aspire to be. We are committed to equal employment and advancement opportunity irrespective of race, color, ancestry, social background, religion, gender, national origin, sexual orientation, age, citizenship, marital status, disability and gender identity. About Us NextEnergy Group was founded in 2007 to become a leading market participant in the international solar sector. NextEnergy Group operates via its three business units: NextEnergy Capital (Investment Management), WiseEnergy (Operating Asset Management), and Starlight (Asset Development). WiseEnergy and Starlight and NextSTEP are operating segments; details are provided in company materials. NextEnergy Capital manages the Group's investment activities and has invested in over 520 solar plants, exceeding 2GW in capacity across its funds. Key funds include: NextEnergy Solar Fund (NESF): Listed on the London Stock Exchange, with assets in the UK and Italy, and a defined installed capacity and asset value. NextPower II (NPII): A private fund focused on Italy, previously divested with IRR targets met. NextPower III ESG (NPIII ESG): A private fund targeting solar infrastructure in OECD countries. NextPower UK ESG (NPUK ESG): A private fund in the UK for new-build solar plants. NextPower V ESG (NPV ESG): A private OECD solar fund investing in solar and storage; raised funds toward a target. WiseEnergy is NextEnergy Group's operating asset manager with experience across 1,500+ utility-scale solar plants and 3.4 GW capacity. Starlight is NextEnergy Group's development arm with a large pipeline of solar projects globally. NextSTEP is the venture capital fund investing in environmental sustainability startups in Europe and the US. NextEnergy Foundation is a non-profit that contributes to carbon reduction through clean energy projects.

Is it Permanent/ Contract: Open for both Is it Onsite/Remote/Hybrid: for London (4 days WFO, 1-day WFH mandatory) Experience 15+ years About the Role We are seeking a senior Data Architect to join the engineering organisation as part of Project Compass. This programme is delivering next-generation capabilities across Accounts (Real-Time Ledger), Payments Engine, and Foreign Exchange - all of which generate, consume, and depend on high-quality, well-governed data at scale. The Data Architect will own the end-to-end data architecture across spanning Snowflake as the enterprise data warehouse and a landscape of in-house application databases (relational, time-series, document, and in-memory stores) that serve real-time operational workloads. You will define how data flows from source systems into the warehouse, how application databases are modelled and managed, and how data products are exposed to downstream consumers within and beyond. This is a hands on, delivery focused role. You will work closely with Integration Architects, platform engineers, and domain product teams to translate business data requirements into durable, governed, and scalable data solutions. Key Responsibilities Data Architecture & Strategy Define and own the data architecture target state, covering the Snowflake enterprise data warehouse, application databases, and the data flows that connect them Establish a unified data modelling standard across relational (PostgreSQL, Oracle), in memory (Redis), time series (TimescaleDB / InfluxDB), and document (MongoDB) stores used by applications Design the data ingestion and movement architecture - real time CDC pipelines, batch ETL/ELT patterns, and event driven feeds from the NATS messaging layer into Snowflake Define data domain boundaries, ownership, and lineage standards aligned with Project Compass product domains (RTL, Payments, FX) Produce and maintain authoritative data architecture artefacts: entity relationship models, data flow diagrams, data dictionaries, and Architecture Decision Records (ADRs) Snowflake & Data Warehouse Lead the design and evolution of the Snowflake data warehouse, including schema design (Raw / Conformed / Consumption layers), virtual warehouse sizing, and cost governance Define standards for data loading (Snowpipe, Streams & Tasks, external stages), transformation (dbt patterns), and data sharing across business units Establish Snowflake data access controls, row level security, dynamic data masking, and PII governance in line with regulatory requirements (GDPR, BCBS 239) Champion Snowflake best practices for performance tuning, clustering keys, materialised views, and query optimisation Evaluate Snowflake native capabilities (Snowpark, Cortex AI, Dynamic Tables) and recommend adoption where they accelerate data product delivery Govern the application database landscape across - reviewing schema designs, indexing strategies, and data lifecycle management across all in house databases Define patterns for operational data stores (ODS) that bridge real time application databases and the analytical warehouse layer Ensure consistency between transactional data models and their warehouse representations, minimising transformation complexity and maximising fidelity Set standards for database change management, migration tooling (Liquibase / Flyway), and schema versioning across the application estate Identify and remediate data quality issues at source, defining data contracts between application teams and downstream consumers Data Governance & Quality Define and implement data governance frameworks covering data ownership, stewardship, classification (PII, sensitive, public), and retention policies Establish data lineage and cataloguing standards, working with tooling such as Apache Atlas, Collibra, or Snowflake Horizon Catalog Design and enforce data quality rules and SLAs at ingestion, transformation, and consumption layers Collaborate with the Risk and Compliance function to ensure data architecture meets BCBS 239 Risk Data Aggregation and Reporting requirements Champion Master Data Management (MDM) principles for shared reference data (counterparty, instrument, currency) across domains AI, Analytics & Data Products Define the architecture for data products - curated, well documented datasets served to analytics, reporting, and AI/ML consumers Design feature stores and data pipelines that support AI/ML model training and inference for use cases such as FX pricing, payment anomaly detection, and limit utilisation forecasting Evaluate and integrate AI assisted data tooling (AI powered cataloguing, natural language querying, automated data quality) where it accelerates productivity Partner with the Analytics Engineering team to establish dbt modelling standards, testing frameworks, and documentation practices Work hands on across multiple product teams as a data authority, balancing strategic design with direct delivery contribution Guide and mentor application engineers on data modelling, query optimisation, and data quality best practices Engage senior stakeholders across Technology, Finance, Risk, and Operations to communicate data strategy, risks, and trade offs Facilitate data architecture working groups with platform, BI, and enterprise architecture teams to align on shared standards Core Technical Skills Data Warehouse Transformation dbt (data build tool) - modelling layers, testing, documentation, incremental strategies Application Databases Data Integration AWS - S3, RDS, Aurora, Redshift (migration context), Glue, Lake Formation, IAM, VPC Data Governance Data lineage, cataloguing (Apache Atlas / Collibra / Snowflake Horizon), GDPR, BCBS 239, MDM AI / ML Data Query & Performance SQL optimisation, clustering keys, partitioning, query profiling, cost based tuning Data Landscape The Data Architect will work across the following technology landscape. Candidates should have direct experience with the majority of these platforms and the ability to define coherent architecture across heterogeneous stores: Platform / Store Primary Use Snowflake Enterprise data warehouse, analytics, reporting, data sharing Oracle DB Migration strategy, data contracts, schema versioning Redis Cache invalidation, persistence strategy, data consistency MongoDB TimescaleDB NATS JetStream AWS S3 / Glue Data lake staging, archival, batch ingestion into Snowflake Partitioning, file format (Parquet/ORC), Lake Formation governance Finance Domain Knowledge Candidates should have hands on data architecture experience in one or more of the following financial services domains: Domain Key Data Concepts Double entry accounting data models, event sourced ledgers, real time balance aggregation, reconciliation datasets Payments Engine Payment message data (ISO 20022 / SWIFT), settlement instructions, payment status lifecycle, fee and charge data Trade data models, rate feeds and time series storage, position keeping, P&L attribution data Exposure data models, limit hierarchy, breach event data, real time risk aggregation feeds Client Onboarding Client master data, KYC / AML data structures, account hierarchy, regulatory reporting feeds Regulatory Reporting BCBS 239 data lineage, EMIR / MiFID trade reporting data, data quality SLAs for regulatory submissions Experience & Profile 15+ years of progressive technology experience, with at least 5 years in senior data architecture roles Deep, hands on experience with Snowflake as an enterprise data warehouse - ideally holding Snowflake SnowPro Core or Advanced: Architect certification Proven track record of designing data architectures across heterogeneous application database landscapes in large financial institutions or fintech organisations Demonstrated experience implementing data governance frameworks, lineage tooling, and data quality programmes at programme scale Comfortable working hands on - writing dbt models, reviewing SQL, profiling queries - while operating at senior stakeholder and architecture level Experience with CDC based real time data pipelines and event driven data integration patterns Strong communicator able to convey complex data architecture decisions to both engineering teams and business stakeholders Familiarity with AI/ML data architecture patterns (feature stores, vector databases, LLM data pipelines) is a strong advantage AWS Solutions Architect or AWS Data Analytics certification is advantageous.