40 jobs found

The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the Data Platform Team Our Data Platform team is the engineering backbone of Tripadvisor's data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive, Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations, Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics. We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor's global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world's most trusted travel platform. You'll bring both strong software engineering fundamentals and hands on data engineering expertise - writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we'd love to talk. What You'll Do Data Engineering & Data Products, ETLs Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. Ensure enterprise data integrity, validation, documentation, and governance. Platform & Software Engineering Write production Java and Python code across our evolving platform stack - from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. Quality, Collaboration & Ownership Take on projects with independence and a mandate to leave things better than you found them. Be integral to code quality on your team through leadership in design and code review. Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high quality solutions. Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. Work alongside engineering groups located around the world in a fast paced, dynamic environment. Skills & Experience 4-5+ years of data engineering or general software development experience in a commercial setting. Strong hands on proficiency in both Java and Python for production systems. Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. Proficiency in SQL and data exploration across large, complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte-scale or larger datasets. Solid foundation in data structures, algorithms, and object oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. Systems performance and tuning experience, with an understanding of how architecture impacts scalability. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Strong analytical skills; desire to write clean, correct, and efficient code. Self paced, organized, and detail oriented with a strong sense of ownership, urgency, and pride in your work. Ability to break down complex problems into simple, pragmatic solutions. Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Familiarity with additional technologies: GraphQL, React, HTML5, JavaScript, CSS, Postgres, Gradle, BERT. Experience working with and designing infrastructures for large scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance practices and tooling. Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. Experience developing scalable code for high volume, low latency systems. What We Offer Competitive compensation packages , including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote-friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule . Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching . Give back? Give more! We match qualifying charitable donations annually. Tuition assistance . Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit . An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks . We believe that travel is employee development, so we provide discounts and more. Employee assistance program . We're here for you with resources and programs to help you through life's challenges. Health benefits . We offer great coverage and competitive premiums. Generous referral scheme . Help us grow and be rewarded with generous awards for referring successful candidates. Our Cultural Pillars Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in our Tech Blog , for an inside look into some of our exciting and ground breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people - employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . We have all the answers!

Oxford, Oxfordshire, United Kingdom (Hybrid or Remote) The Tripadvisor Group connects people to experiences worth sharing, and aims to be the world's most trusted source for travel and experiences. We leverage our brands, technology, and capabilities to connect our global audience with partners through rich content, travel guidance, and two-sided marketplaces for experiences, accommodations, restaurants, and other travel categories. The subsidiaries of Tripadvisor, Inc. (Nasdaq: TRIP), include a portfolio of travel brands and businesses, including Tripadvisor, Viator, and TheFork. About the Data Platform Team Our Data Platform team is the engineering backbone of Tripadvisor's data ecosystem. Formed from the core fundamentals of our Data Engineering and Software Engineering (Data Platform) groups, this unified team combines deep data pipeline expertise with robust platform engineering capabilities. We are responsible for providing software and infrastructure that enable Tripadvisor to better understand visitor preferences, power experimentation across all surfaces (website, mobile app, and customer communications), and drive GenAI, Analytical, and DSML initiatives at petabyte scale. Our team builds and maintains: Streaming and batch data platforms that unlock data across Tripadvisor ETL pipelines and data models serving terabytes and growing datasets in Snowflake, BigQuery, and Hive Orchestration, scheduling, and ETL generation tools to support cloud migrations and petabyte-scale operations Tracking instrumentation, information architecture, and data governance tooling for business-critical analytics We collaborate closely with Product, Analytics, Data Science, CRM, Marketing, Finance, and Machine Learning teams across Tripadvisor's global engineering organization. Tripadvisor is looking for a Data Engineer II to join our fast-moving Data Platform group. In this role, you will design, build, and sustain the data infrastructure that powers the world's most trusted travel platform. You'll bring both strong software engineering fundamentals and hands on data engineering expertise - writing production-quality Java and Python, architecting reliable pipelines, and delivering end-to-end solutions that scale to hundreds of millions of travelers. Do you enjoy building features end-to-end? Do you thrive working with a broad technology stack, releasing frequently, and collaborating with talented engineers worldwide? If so, we'd love to talk. What You'll Do Design, build, and maintain robust ETL/ELT data pipelines that process terabyte-scale data across Snowflake, BigQuery, Hive, and other platforms. Develop scalable, reusable data models and curated data sets for analytics, data science, CRM, machine learning, and other data consumers across the organization. Own the full lifecycle of data pipelines: define SLAs, implement performance measurements, monitoring, and anomaly detection. Ensure enterprise data integrity, validation, documentation, and governance. Platform & Software Engineering Write production Java and Python code across our evolving platform stack - from data ingestion and event processing to REST services and internal tooling. Build and maintain streaming and batch processing systems (Flink, Spark, Kafka) that power real time and analytical workloads. Take responsibility for all aspects of software engineering: design, implementation, QA, and maintenance, with a CI/CD mindset (most engineers release to production every few days). Operate on and improve cloud infrastructure on AWS, with familiarity with Gradle, Linux, and related tooling. Take on projects with independence and a mandate to leave things better than you found them. Be integral to code quality on your team through leadership in design and code review. Collaborate closely with Product, Design, Analytics, and Data Science teams to define specifications and deliver high-quality solutions. Communicate effectively with both technical and business stakeholders; translate complex data problems into clear solutions. Work alongside engineering groups located around the world in a fast paced, dynamic environment. Skills & Experience 4-5+ years of data engineering or general software development experience in a commercial setting. Strong hands on proficiency in both Java and Python for production systems. Demonstrated experience designing and implementing complex ETL/ELT processes from concept to production. Proficiency in SQL and data exploration across large, complex datasets. Experience with big data technologies (Hadoop, Hive, BigQuery, Snowflake) and working with terabyte scale or larger datasets. Solid foundation in data structures, algorithms, and object oriented design. Professional experience building REST services and working with event queue systems. Familiarity with Linux and cloud infrastructure design on AWS or equivalent cloud providers. Systems performance and tuning experience, with an understanding of how architecture impacts scalability. Bachelor's degree in Computer Science, Engineering, or equivalent practical experience. Strong analytical skills; desire to write clean, correct, and efficient code. Self paced, organized, and detail oriented with a strong sense of ownership, urgency, and pride in your work. Ability to break down complex problems into simple, pragmatic solutions. Strong interpersonal skills, intense curiosity, and enthusiasm for solving difficult problems. Willingness and ability to take on new technologies as our stack evolves. Nice to Have Experience with stream processing frameworks such as Flink or Spark Streaming. Experience with task orchestration tools such as Apache Airflow or similar systems. Experience working with and designing infrastructures for large scale data processing (Hive, Snowflake, NoSQL databases). Experience with data governance practices and tooling. Exposure to and/or interest in machine learning, data science, or GenAI to help solve engineering challenges innovatively. Experience developing scalable code for high volume, low latency systems. What We Offer Competitive compensation packages, including base salary, annual bonus, and more. "Work your way" with flexibility to suit your lifestyle. We take a remote friendly approach to collaboration, with the option to join on site as often as you'd like in select locations. Flexible schedule. Work life balance is ingrained in our culture by design. Trust and accountability make it work. Donation matching. Give back? Give more! We match qualifying charitable donations annually. Tuition assistance. Want to level up your career? We love to hear it! Receive annual support for qualified programs. Lifestyle benefit. An annual benefit to spend on yourself. Use it on travel, wellness, or whatever suits you. Travel perks. We believe that travel is employee development, so we provide discounts and more. Employee assistance program. We're here for you with resources and programs to help you through life's challenges. Health benefits. We offer great coverage and competitive premiums. Generous referral scheme. Help us grow and be rewarded with generous awards for referring successful candidates. Traveller first: We exist to create value for our customer, the traveler. We enable our suppliers and partners to unlock this value. Their collective behaviors and insights are what drives us. Execution is our edge: We act fast, experiment, learn from failure, iterate, and improve the solutions of tomorrow across every aspect of our business. Our execution is agile, data driven, prioritised, and built to scale. We assume no problem is someone else's problem and finish what can be done today, knowing tomorrow will bring fresh challenges. We succeed together: The best outcomes are driven by empathic, humble, and diverse subject matter experts working toward shared goals. We collaborate relentlessly, challenge assumptions, give actionable feedback, and set each other up for success through empowered teams with a clear charter. We transparently take ownership of our growth, individually and as a team. We celebrate the quality of our effort, our learnings, and our collective achievements. Discover more in ourTech Blog , for an inside look into some of our exciting and ground breaking technical projects here at Tripadvisor Group. Tripadvisor Group champions the unique identities, abilities, and experiences of all our people - employees, customers, and partners. This stems from our belief in the transformative power of travel, dining, and experiences to connect us and open doors to worlds very different from our own. Our ED&I strategy shapes how we approach our people, culture, business, and reputation. Tripadvisor Group strives to embed inclusion and belonging across all our brands. We strive to create an accessible and inclusive experience for all candidates. If you need a reasonable accommodation during the application or the recruiting process, please make sure to reach out to your individual recruiter or our team at . If you have any additional questions about careers at Tripadvisor you can email us at . click apply for full job details

Data Solution ArchitectApplylocations: Londontime type: Full timeposted on: Posted 7 Days Agojob requisition id: RThe purpose of this role is to set the strategic direction for the team, taking ownership of the overall Insights and analysis discipline in the market and liaising with other channels to ensure an integrated response to people-based marketing objectives Job Description: Dentsu is an integrated growth and transformation partner to the world's leading organizations. Founded in 1901 in Tokyo, Japan, and now present in over 145 countries and regions, it has a proven track record of nurturing and developing innovations, combining the talents of its global network of leadership brands to develop impactful and integrated growth solutions for clients. Dentsu delivers end-to-end experience transformation (EX) by integrating its services across Media, CXM and Creative, while its business transformation (BX) mindset pushes the boundaries of transformation and sustainable growth for brands, people and society. Role Summary The Data Solutions Architect is responsible for designing, implementing and optimising the data and reporting solutions that support the global Heineken business.Working as part of the Global Analytics team, this role acts as the connection point between client stakeholders, analysts, reporting teams, data engineers and technology partners to ensure data is accessible, trusted and transformed into actionable business intelligence.Initially, the role is focused on one global client: establishing robust reporting foundations, improving data quality and governance, and supporting delivery of dashboards, measurement solutions and insight generation across Heineken global and local markets.This is a hands-on role combining data architecture, reporting delivery, stakeholder management and problem-solving. Over time, the successful candidate will build broader leadership capabilities and contribute to the evolution of global reporting and visualisation capabilities across additional clients and solutions. Key Responsibilities Data & Reporting Solutions Own the design and delivery of reporting and data solutions for Heineken. Support the implementation and ongoing enhancement of global dashboards and reporting frameworks. Translate business requirements into scalable data and reporting solutions. Work with data engineering and technology teams to ensure reliable data pipelines and reporting infrastructure. Identify opportunities to improve reporting automation, standardisation and efficiency. Support measurement frameworks that connect media, marketing, sales and brand performance data. Data Governance & Quality Collaborate with the Data Operations team to establish data governance processes, definitions and standards. Ensure reporting outputs are based on trusted and consistent data sources. Client & Stakeholder Management Act as a day-to-day point of contact for data and reporting requirements. Partner with client stakeholders, market teams, analysts and technology partners to understand business needs. Facilitate requirement-gathering sessions and translate needs into clear delivery plans. Support senior leadership with reporting recommendations, roadmap planning and prioritisation. Insight Delivery Ensure dashboards and reporting outputs answer business questions and support decision-making. Work alongside analytics teams to bring together reporting, measurement and insight generation. Help identify opportunities to improve visibility of performance, effectiveness and growth opportunities. Capability Building Contribute to the development of reporting best practices and reusable solutions. Stay informed of emerging reporting, visualisation and analytics technologies. Support testing and adoption of new reporting capabilities, AI-enabled solutions and automation opportunities. Share knowledge and support junior team members where appropriate. What Success Looks Like in the First 12 Months Establish a deep understanding of Heineken's global data and reporting ecosystem. Successfully implement and improve key global reporting solutions. Improve consistency, quality and reliability of reporting outputs. Build trusted relationships with client stakeholders and global market teams. Create clear documentation, governance processes and reporting standards. Enable faster and more actionable decision-making through improved reporting and data accessibility. Skills & Experience Experience in reporting, business intelligence, analytics or data solutions roles. Strong understanding of data structures, reporting workflows and dashboard development. Working knowledge of data engineering concepts, including data modelling, ETL/ELT, data pipelines, APIs and cloud-based data platforms. Not afraid to get hands-on when needed. Experience working with modern data stacks such as Snowflake, BigQuery, Databricks, Azure. Experience with visualisation tools such as Power BI, Tableau, Looker Studio or similar. Ability to translate business requirements into practical data and reporting solutions. Strong problem-solving and stakeholder management skills. Experience working with multiple data sources and complex reporting requirements. Excellent communication and presentation skills. What we offer This is a permanent role. The team is based in our London office but operates under flexible working arrangements. As well as a competitive salary, you'll enjoy a benefits package that you can tailor to your needs. Inclusion and Diversity At Dentsu, we embrace diversity and inclusion, valuing the unique perspectives and contributions of every individual. We believe that diversity fuels creativity and innovation, benefiting our employees, partners, and communities.We welcome applications from all individuals, regardless of race, ethnicity, nationality, religion, gender, gender identity, sexual orientation, age, disability, marital status, or any other protected characteristic. Beyond recruitment, we strive to create an environment where everyone feels respected, supported, and empowered to bring their authentic selves to work.We recognise the importance of work-life balance and are open to discussing flexible working arrangements for all roles. If you need reasonable adjustments due to a disability or medical condition during our recruitment process, please contact us at , quoting the reference number of the role that you are applying for. Your needs will be handled with respect and confidentiality to ensure an inclusive and accessible experience.

We are looking for ahands-on AI Solution Architect to design, build, and productionize scalable Agentic AI solutions across enterprise platforms. This role requires deep technical expertise combined with strong architectural thinking and engineering rigor. Key Responsibilities StrongPython expertise with provenproduction engineering experience Extensivehands-on experience designing and building agentic AI systems, includingmulti-agent orchestration (beyond simple chatbots) Hands-on experience withLLM guardrails,cost optimization, andmodel evaluation frameworks Deep understanding and implementation experience in:RAG architecturesVector storesEmbeddingsPrompt and response evaluation Strongengineering hygiene with experience in:Automated testingCI/CD pipelinesObservability & monitoringCorrelation IDs and tracingContainerization withDocker Ability todesign end-to-end AI solutions, making architectural trade offs across performance, cost, security, and scalability Skill Requirements Strong understanding of STD-Cell circuit design fundamentals, including CMOS logic gates and standard cell architectures. Experience with EDA tools such as Cadence Virtuoso, Spectre, and HSPICE for schematic capture, simulation, and layout editing. Good familiarity with semiconductor process technologies and design rules. Ability to prepare technical documentation and specifications for design flows. Experience in troubleshooting circuit performance issues using simulation and debug tools. Other Requirements Knowledge ofLLM design patterns such as:Function callingTool usageExperience withAzure services, including:App ServicesKey VaultLogic AppsAzure Container RegistryExperience withDatabricks,Delta Tables, and large-scale data processingFamiliarity withLLM gateways (Kong or similar API gateways)Knowledge of analytics and visualization stacks:Power BI Semantic Models / DAXSnowflake / DenodoFrontend frameworks likeReact At HCLTech, you'll supercharge your potential. You'll find your career. And you'll find your spark. All at a place that knows that helping its customers stay on top starts by putting its people first. HCLTech is a global technology company, home to more than 223,000 people across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. Consolidated revenues as of 12 months ending June 2026totaled $14.8billion.

Role description Principal Software Engineer - Data Technology Platforms Location London Start : ASAP End : As of now till Dec 2026 with possible extesnions Seeking an experienced and data-focused Principal Software Engineer to join our Data Technology Platforms team. This team is responsible for building, enhancing, and operating enterprise-wide data platforms that support operational, analytical, regulatory, and AI-driven business capabilities. The ideal candidate will have deep expertise in modern data engineering, database technologies, cloud platforms, and data governance. You will play a key role in defining strategic data solutions, partnering with business and technology stakeholders, and delivering scalable, high-performance data platforms that enable data-driven decision making across the organization. This role is suited to a technology leader who combines strong hands-on engineering skills with strategic thinking, stakeholder management, and a passion for delivering business value through data. Key Responsibilities Strategic & Technical Leadership Drive the design and evolution of modern, cloud-based data platforms. Translate business requirements into scalable, reusable, and strategic data solutions. Provide technical leadership across data engineering initiatives and platform modernization efforts. Champion best practices in architecture, data governance, quality, security, and scalability. Solution Delivery Analyze business and technical requirements and evaluate solution viability. Design, develop, test, and deploy enterprise-grade data solutions. Support the full Software Development Lifecycle (SDLC), from requirements through production support. Ensure solutions are maintainable, supportable, and aligned with enterprise standards. Optimize performance for large-scale data processing and analytics workloads. Stakeholder Management Partner with business stakeholders, product owners, architects, analysts, engineers, and support teams. Act as a trusted advisor on data strategy and platform capabilities. Manage competing priorities while balancing immediate delivery needs with long-term strategic objectives. Communicate effectively with both technical and non-technical audiences. Team Collaboration Mentor engineers and contribute to the growth of the wider technology organization. Promote agile delivery practices and continuous improvement. Take ownership of individual deliverables while contributing to overall team success. Support operational excellence and knowledge transfer to production support teams. Required Skills & Experience Data Engineering & Development Strong expertise in SQL database development and optimization. Hands-on experience with: Snowflake DBT Azure Data Factory Python Experience designing and developing enterprise-scale data pipelines and integrations. Strong knowledge of data modeling, data warehousing, and ETL/ELT practices. Proven ability to tune and optimize solutions handling large data volumes. Cloud & DevOps Experience with cloud-native data platforms, preferably on Microsoft Azure. Strong knowledge of: Azure DevOps Git CI/CD pipelines Automated deployment practices Experience implementing engineering best practices, testing, and release management processes. Software Engineering Ability to develop well-structured, maintainable, and thoroughly tested solutions. Strong problem-solving and analytical skills. Experience supporting production systems and driving operational excellence. Stakeholder & Business Engagement Experience working with senior business and technology stakeholders. Strong communication and relationship management skills. Ability to balance delivery timelines with strategic platform evolution. Preferred Qualifications Experience within Financial Services, Asset Management, Banking, Wealth Management, or Capital Markets. Development experience using: .NET / C# Azure Functions Azure Services Familiarity with Agile delivery frameworks and methodologies. Experience with Test-Driven Development (TDD) and test automation practices. Knowledge of modern data governance and data quality frameworks. Exposure to AI, analytics, and advanced data platform capabilities. Skills Azure DevOps, Data Validation, Azure Functions, Cloud Data Warehousing, SQL, Python About the company the company is a global digital transformation solutions provider. For more than 20 years, the company has worked side by side with the world's best companies to make a real impact through transformation. Powered by technology, inspired by people and led by purpose, the company partners with their clients from design to operation. With deep domain expertise and a future-proof philosophy, the company embeds innovation and agility into their clients' organizations. With over 30,000 employees in 30 countries, the company builds for boundless impact-touching billions of lives in the process.

The Role Technical Lead - Data Engineering and play a critical role in driving our enterprise data platform strategy. You will lead the design, development, and delivery of modern data solutions using Snowflake, DBT, Azure/AWS, Python, Airflow, and CI/CD technologies. This role combines deep technical expertise with leadership responsibilities, guiding engineering teams, defining best practices, and ensuring the successful delivery of scalable, secure, and high-performing data platforms. Your responsibilities Lead the design and implementation of scalable and secure data platforms using Snowflake, DBT, Airflow, Python, and Azure/AWS services. Define technical architecture, coding standards, engineering best practices, and development frameworks for the data engineering team. Drive the adoption of CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, or similar tools to automate build, test, deployment, and release management processes. Lead the development, optimization, and maintenance of complex ETL/ELT pipelines for large-scale data processing. Establish DevOps and DataOps practices to improve deployment efficiency, reliability, and operational excellence. Mentor and coach data engineers through technical guidance, code reviews, architecture reviews, and knowledge-sharing sessions. Collaborate with enterprise architects and business stakeholders to translate business requirements into scalable technical solutions. Own platform reliability, monitoring, performance tuning, and troubleshooting of production data pipelines. Implement Infrastructure as Code (IaC) using Terraform/Terragrunt to automate cloud resource provisioning. Drive data quality, governance, security, and compliance standards across the data ecosystem. Lead technical discussions, solution design workshops, and project planning activities. Evaluate emerging technologies and recommend innovative approaches to improve data engineering capabilities and delivery processes. Support Agile delivery and provide technical leadership throughout the project lifecycle. Technical Leadership Proven experience as a Technical Lead, Lead Data Engineer, or similar leadership role. Experience leading distributed development teams and delivering large-scale data engineering projects. Strong stakeholder management and technical decision-making capabilities. Python & Data Engineering Expert-level proficiency in Python for data engineering, automation, orchestration, and application development. Strong experience developing scalable ETL/ELT frameworks using Python and SQL. Hands on experience with DBT, Airflow, Snowflake, and cloud-native data services. CI/CD & DevOps Strong experience designing and implementing CI/CD pipelines using GitHub Actions, Azure DevOps, Jenkins, GitLab CI/CD, or similar platforms. Experience implementing automated testing, code quality checks, release management, and deployment automation. Strong understanding of DevOps, DataOps, CI/CD best practices, and release governance. Cloud & Platform Engineering Extensive experience designing cloud-based data solutions on Azure and/or AWS. Strong knowledge of cloud security, networking, monitoring, and operational best practices. Experience with Infrastructure as Code using Terraform and Terragrunt. Data Architecture Expertise in Data Vault, dimensional modelling, data warehousing, and modern data platform architectures. Advanced SQL development and performance optimization skills. Communication & Stakeholder Engagement Desirable Skills / Knowledge / Experience Experience with Generative AI and AI-powered data engineering solutions. Experience with Power BI, MicroStrategy, or other BI tools. Knowledge of Kubernetes, Docker, and containerized deployments. Experience with Databricks and modern lakehouse architectures. Azure Data Factory, Synapse Analytics, or AWS Glue experience. Experience implementing DataOps frameworks and observability platforms. Exposure to enterprise architecture and governance frameworks. Languages: Python (primary), SQL, Bash Cloud: Azure, AWS Tools: Airflow, DBT Data: Snowflake, Delta Lake, Redis, Azure Data Lake Infra & Ops: Terraform, GitHub Actions, Azure DevOps, Azure Monitor LA International is an award-winning partner of choice for many of the world's most influential companies and government organisations. Holding Enhanced Government Security Accreditation, we are recognised as the European market leader in the delivery of Security Cleared talent to organisations that demand the very highest levels of security, compliance and assurance. A multiple award-winning organisation, having secured the prestigious Queens Award for Enterprise: International Trade over consecutive years. We are committed to fostering an inclusive, equitable and accessible workplace where everyone feels valued and supported. We welcome applications from all individuals, regardless of background or identity, and we encourage candidates who may not meet every listed requirement to still apply. If you require any adjustments or support during the recruitment process, please let us know and we will work with you to ensure a fair and accessible experience. Please Note: If a high volume of applications is received, only candidates shortlisted will be contacted.

Lead Funds Data ArchitectApplyremote type: Hybridlocations: Belfast United Kingdomtime type: Full timeposted on: Posted Todayjob requisition id: The Lead Funds Data Architect will be a pivotal member of our team, responsible for bridging the gap between business needs and technical solutions within the Funds domain.This individual will lead the design, development, and implementation of data strategies and architectures that support Fund accounting, Fund Administration, ETFs, IBOR (Investment Book of Record), ABOR (Accounting Book of Record), and various regulatory and client reporting functions.A profound understanding of data governance, data lineage, data modeling, and core data concepts specific to the investment and funds industry is paramount. What you'll do Data Strategy & Vision: Define and articulate the data strategy and architectural vision for the Funds business, ensuring alignment with enterprise data initiatives and regulatory requirements. Domain Expertise Application: Apply deep knowledge of Fund accounting, Fund Administration processes, ETF Operations, IBOR, and ABOR to design highly efficient and accurate data models and data flows. Data Architecture Design: Architect robust, scalable, and secure data solutions, including logical and physical data models, data warehousing, data lakes, and data integration patterns tailored for complex financial data. Data Governance & Quality: Champion and implement best practices for data governance, ensuring high data quality, integrity,and adherence to internal policies and external regulations across all Funds data. Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data assets within the Funds business. Data Modeling Leadership: Lead data modeling efforts, developing conceptual, logical, and physical data models that support current and future business needs, with a strong focus on reusability and extensibility for Funds data. Analysis & Requirements Gathering: Conduct detailed data analysis, gather business requirements from stakeholders in Fund accounting, operations, and reporting, and translate them into precise technical specifications. Solution Implementation Support: Collaborate closely with development and engineering teams during the implementation phase, providing architectural oversight and resolving data-related technical challenges. Reporting & Analytics Enablement: Design data structures and access patterns that enable efficient and accurate generation of various internal and external reports, including regulatory filings and client statements. Technology Evaluation: Evaluate and recommend new data technologies, tools, and methodologies that enhance data capabilities and efficiency within the Funds business. What we'll need from you Experience: 12+ years of experience in data analysis, data architecture, or data warehousing roles. 5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds). Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting.Technical Skills: Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) a plus.Domain Knowledge: Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge of regulatory reporting (SEC, FCA, UCITS) and data implications. Core Data Concepts: Demonstrated experience in Data Governance, Data Lineage, and Data Modeling (conceptual, logical, physical). Comprehensive understanding of Master Data Management, Reference Data, Transactional Data, and Metadata.Soft Skills: Outstanding analytical, problem-solving, and communication skills. Strong leadership, mentoring, and stakeholder engagement abilities. Proactive and adaptable in a dynamic environment. What we can offer you We work hard to have a positive financial and social impact on the communities we serve. In turn, we put our employees first and provide the best-in-class benefits they need to be well, live well and save well.By joining Citi Belfast, you will not only be part of a business casual workplace with a hybrid working model (up to 2 days working at home per week), but also receive a competitive base salary (which is annually reviewed), and enjoy a whole host of additional benefits such as: Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure A discretional annual performance related bonus Private medical insurance packages to suit your personal circumstances Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resourcesAlongside these benefits Citi is committed to ensuring our workplace is where everyone feels comfortable coming to work as their whole self every day. We want the best talent around the world to be energized to join us, motivated to stay, and empowered to thrive. Sounds like Citi has everything you need? Then apply to discover the true extent of your capabilities.

The Lead Funds Data Architect will be a pivotal member of our team, responsible for bridging the gap between business needs and technical solutions within the Funds domain. This individual will lead the design, development, and implementation of data strategies and architectures that support Fund accounting, Fund Administration, ETFs, IBOR (Investment Book of Record), ABOR (Accounting Book of Record), and various regulatory and client reporting functions. A profound understanding of data governance, data lineage, data modeling, and core data concepts specific to the investment and funds industry is paramount. What you'll do Data Strategy & Vision: Define and articulate the data strategy and architectural vision for the Funds business, ensuring alignment with enterprise data initiatives and regulatory requirements. Domain Expertise Application: Apply deep knowledge of Fund accounting, Fund Administration processes, ETF Operations, IBOR, and ABOR to design highly efficient and accurate data models and data flows. Data Architecture Design: Architect robust, scalable, and secure data solutions, including logical and physical data models, data warehousing, data lakes, and data integration patterns tailored for complex financial data. Data Governance & Quality: Champion and implement best practices for data governance, ensuring high data quality, integrity, and adherence to internal policies and external regulations across all Funds data. Data Lineage & Metadata Management: Establish and maintain comprehensive data lineage documentation and metadata management strategies to ensure transparency, auditability, and understanding of critical data assets within the Funds business. Data Modeling Leadership: Lead data modeling efforts, developing conceptual, logical, and physical data models that support current and future business needs, with a strong focus on reusability and extensibility for Funds data. Analysis & Requirements Gathering: Conduct detailed data analysis, gather business requirements from stakeholders in Fund accounting, operations, and reporting, and translate them into precise technical specifications. Solution Implementation Support: Collaborate closely with development and engineering teams during the implementation phase, providing architectural oversight and resolving data-related technical challenges. Reporting & Analytics Enablement: Design data structures and access patterns that enable efficient and accurate generation of various internal and external reports, including regulatory filings and client statements. Technology Evaluation: Evaluate and recommend new data technologies, tools, and methodologies that enhance data capabilities and efficiency within the Funds business. What we'll need from you Experience 12+ years of experience in data analysis, data architecture, or data warehousing roles. 5+ years of direct experience within the financial services industry, specifically with deep expertise in the Funds business (e.g., asset management, mutual funds, hedge funds). Proven experience with Fund accounting, Fund Administration, ETFs, IBOR, ABOR, and financial reporting. Technical Skills Expertise in data modeling tools and techniques (e.g., ER/Studio, Erwin). Strong SQL and database proficiency (SQL Server, Oracle, Snowflake, Databricks). Experience with data integration (ETL/ELT, APIs). Familiarity with cloud data platforms (AWS, Azure, GCP) and big data (Hadoop, Spark, Kafka) is a plus. Domain Knowledge Exceptional understanding of the Funds business lifecycle, financial instruments, market data, and investment operations. In-depth knowledge of regulatory reporting (SEC, FCA, UCITS) and data implications. Core Data Concepts: Demonstrated experience in Data Governance, Data Lineage, and Data Modeling (conceptual, logical, physical). Comprehensive understanding of Master Data Management, Reference Data, Transactional Data, and Metadata. Soft Skills Outstanding analytical, problem-solving, and communication skills. Strong leadership, mentoring, and stakeholder engagement abilities. Proactive and adaptable in a dynamic environment. What we can offer you Generous holiday allowance starting at 27 days plus bank holidays; increasing with tenure. A discretionary annual performance related bonus. Private medical insurance packages to suit your personal circumstances. Employee Assistance Program. Pension Plan. Paid Parental Leave. Special discounts for employees, family, and friends. Access to an array of learning and development resources. Citi is an equal opportunity employer, and qualified candidates will receive consideration without regard to their race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other characteristic protected by law. If you are a person with a disability and need a reasonable accommodation to use our search tools and/or apply for a career opportunity review Accessibility at Citi. View Citi's EEO Policy Statement and the Know Your Rights poster.

We are looking for a Data Modeler (Corporate Functions) who will join the Corporate Data Intelligence Team to drive data driven decisions.Overview of the RoleYou will serve as the critical bridge between business stakeholders and our data platform, deeply embedded in corporate functions including SAP ERP, Master Data, Salesforce (SFDC), Procurement, and Planning. This is a business-facing, domain-focused role with strong data engineering experience. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-hand with the Senior Corporate Analytics Architect and the broader Corporate Data Intelligence function. You will report directly to the Corporate Data Intelligence Lead.Your Day-to-Day - We do what others say can't be doneLead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functionsDesign and maintain conceptual, logical, and physical data models for corporate domains, SAP ERP, Master Data, SFDC, Procurement, and PlanningDevelop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use casesPartner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworksServe as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchiesTranslate complex business requirements into clear data model specifications, ER diagrams, and data dictionariesEnsure data consistency and integrity across domains through well-governed master data modelling practicesDefine and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domainCollaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assetsAct as the liaison between business domain owners and the data platform teamYour Profile - Ready to Join the Pack?Proven hands-on experience in data modelling - conceptual, logical, and physical including dimensional modelling and ER designStrong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processesHands-on experience with dbt - model development, testing, documentation, and macrosAdvanced SQL skills with ability to profile, analyze, and validate data against business definitionsDemonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidentlyStrong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIsExcellent communication and interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teamsNice to HaveExperience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster)Exposure to Snowflake as the analytics warehouse platformKnowledge of SAP MDG (Master Data Governance) or equivalent MDM platformsExperience in a manufacturing, semiconductor, or high-tech industry environmentFamiliarity with Agile delivery methodology

LocationNorthampton, Glasgow, United Kingdom# Data / Solution Architect at N Consulting LtdLocationNorthampton, Glasgow, United KingdomSalary£400 - £450 /dayJob TypeContractDate PostedMarch 3rd, 2026Apply Now Job title: Data / Solution Architect Location: Glasgow and Northampton Job type: Contract- 2 days onsite Minimum 8+ years of experience working as Data Architect for AWS Cloud Dataware house Data Architecture & Engineering Deliverables Understand Data Requirements & Authoritative Data Source Assessment : Engage early to capture business and technical data needs. Create and Maintain Architecture Artifacts :o Data Flow Diagrams (DFD) and Logical/Physical Data Models for end-to-end lineage.o Data Dictionary : Define entities, attributes, naming conventions, encryption/tokenization requirements, and traceability for compliance.o Data Mapping Sheets : Document source-to-target mappings, lineage, and transformation logic for all critical flows.o Data Privacy Impact Assessment (DPIA) for sensitive data projects. Update Architecture Vision and Security Components : Ensure alignment with AVD (Architecture Vision Delta) and security design decisions. Cloud & Platform Responsibilities Design and Implement Data Solutions :o Design & Build scalable pipelines (Batch and real-time) using cloud-native tools/frameworks (DIHOP, DIHOC, AWS Glue, DBT, Snowflake, Databricks).o Apply architectural patterns for data lakes, streaming, and batch processing.o Exposure to cloud technologies - Snowflake, Redshift, Apache Flink and Apache Kafka. Technical POCs o Technical assessment of Cloud data technologies to leverage considering Fraud Business and technical requirementso Design, execute and lead POC's involving Cloud technologies to validate/support the assessment. Ensure Compliance with Data Standards :o Apply Barclays Data Architecture Capability Directives and DACM patterns for governance and quality. Integrate Security and Privacy Controls :o Tokenization, masking, and encryption for PII/PCI data across ingestion and storage layers. Governance & Approvals Liaise with Lead Architects Guild and Control Tribes :o Present artifacts for review and sign-off in forums like TAC , EDP ARB , and Fraud Design Authority . Secure Mandatory Approvals :o CAF1 (Non-Prod) and CAF2 (Prod) for environment readiness.o CARA, DPIA and DARB for architecture compliance. Collaboration & Lifecycle Support Work with Solution Architects and Engineering Teams :o Assist in solution design, low-level design, and component build.o Support SIT, OAT, and E2E testing phases for data integrity and performance. Service Transition & RTB Handover :o Ensure smooth deployment and operational readiness for production environments. Continuous Improvement & Standards Define and Enhance Standards : Contribute to Data Dictionary and Data Mapping standards and aide-memoires for consistency. Participate in Architecture Working Groups : Drive adoption of reusable patterns, accelerators, and compliance frameworks.

Full Time Leeds, United Kingdom Consulting Audacia is an award-winning technology consultancy specialising in software engineering, data, AI and cloud. We have established a reputation as thought leaders and innovators, working as a trusted partner to deliver complex large-scale technology solutions for clients including global agriculture companies, regulatory bodies, multinational energy providers and international automotive manufacturers. We're looking for a Senior Data Engineer to join our growing team in Leeds City Centre, based out of our waterfront office on The Calls. As a Senior Data Engineer, you will be responsible for designing, building and optimising modern data platforms that underpin analytics, AI and digital transformation initiatives. Working across a range of client engagements, you will deliver robust, scalable data solutions and play a key role in turning business requirements into high-quality data products. You'll collaborate with software engineers, data scientists and business analysts, contributing your expertise to deliver reliable, future-proof solutions that create measurable value for clients. You'll be trusted to take ownership of your work, solve complex technical challenges and contribute to the continuous improvement of both client solutions and our internal ways of working. We trust our teams. You'll be given autonomy and responsibility throughout projects, with opportunities to contribute ideas, improve processes and develop your technical expertise. Your career is yours to drive at Audacia, with opportunities to specialise, progress into technical leadership roles, or move into management in the future. You'll be part of a community here, with people who are passionate about technology and like to engage inside and outside of work. You'll normally find us in evenings socialising, playing board games, or having a game of badminton. As a Senior Data Engineer, you will design, build and optimise modern data solutions across a range of data platforms, including Microsoft Fabric. This will include data ingestion, transformation, modelling, governance, optimisation and reporting. You will work closely with clients and internal teams to understand requirements, contribute to solution design and deliver reliable, governed data products. You will be expected to independently own technical delivery for significant areas of work, applying engineering best practice and helping ensure solutions are scalable, maintainable and secure. As a senior member of the team, you will support and guide more junior engineers through collaboration, mentoring and peer reviews, while continuing to develop your own expertise across modern data technologies. Responsibilities Design, build and maintain scalable data pipelines and data platforms across client engagements. Develop and optimise data models using SQL and Spark-based technologies. Implement ETL/ELT processes that deliver reliable, governed and high-quality data products. Contribute to technical solution design, translating business requirements into practical data engineering solutions. Collaborate with business analysts, data scientists and business stakeholders to translate requirements into technical solutions. Apply data governance practices including data quality, security, lineage and compliance considerations. Monitor, troubleshoot and optimise data solutions to ensure reliability and performance. Support code reviews, knowledge sharing and continuous improvement initiatives within the team. Contribute to the development of reusable assets, patterns and best practices across Data Engineering engagements. Strong communication skills with the ability to explain technical concepts to both technical and non-technical audiences. Excellent analytical and problem-solving abilities. Ability to work independently and take ownership of technical delivery. Consulting mindset, comfortable working directly with clients and navigating changing requirements. Strong attention to quality, maintainability and engineering best practice. Collaborative approach with the ability to support and guide less experienced team members. Required Experience 3+ years' experience in data engineering. Experience designing and building production-grade data pipelines and ETL/ELT solutions. Strong proficiency in SQL, data modelling and modern data architecture patterns. Experience working with large-scale datasets and cloud-based data platforms. Experience working with Spark/PySpark and Python in data engineering environments. Desired Experience Experience with Microsoft Fabric. Experience with lakehouse architectures and Delta Lake storage formats. Experience with real-time or streaming data workloads. Exposure to AI/ML data preparation or serving patterns. Familiarity with Power BI modelling support. Experience working in consulting or client-facing environments. Hands-on expertise with a modern data platform such as Microsoft Fabric, Databricks or Snowflake. SQL (T-SQL & Spark SQL) PySpark and Python Git-based version control Delta Lake and Lakehouse/Medallion architecture Distributed compute frameworks such as Spark Real-time analytics and streaming technologies

A part of Colgate-Palmolive since 1976, Hill's Pet Nutrition offers the highest-quality pet nutrition available through product lines Prescription Diet and Science Diet . Veterinarians worldwide recommend and feed their own pets Hill's products more than any other brand of pet food. Available in approximately 80 countries around the world, our extensive line of products includes more than 60 Prescription Diet brand pet foods and more than 50 Science Diet brand pet foods. We believe all animals should be loved and cared for during their lifetimes. That is why we are proud our pet foods can make a difference in your pet's life. A career at Hill's Pet Nutrition or Colgate-Palmolive is an excellent opportunity if you seek a global experience, constant challenge, and development opportunities in an environment that respects work/life effectiveness. No Relocation Assistance Offered Job Number - Surrey, England, United Kingdom Who We Are Colgate-Palmolive Company is a global consumer products company operating in over 200 countries specialising in Oral Care, Personal Care, Home Care, Skin Care, and Pet Nutrition. Our products are trusted in more households than any other brand in the world, making us a household name! Join Colgate-Palmolive, a caring, innovative growth company reimagining a healthier future for people, their pets, and our planet. Guided by our core values-Caring, Inclusive, and Courageous-we foster a culture that inspires our people to achieve common goals. Together, let's build a brighter, healthier future for all. Location Woking, UK Regional Scope EMEA Reporting to Global Director - Analytics Purpose You will play a critical role in bridging the gap between business questions & connected analytic solutions - delivering speed to insight & driving business growth. Both Commercial & Technical, this role is expected to understand the needs of the business teams and together with expert knowledge of our data & techstack, translate the business requirements into technical blueprints - working with our GIT partners to design & develop end to end (data to user) analytic solutions that are both scalable & futureproofed to support ongoing AI transformation. You will be responsible for designing & execution through to enablement which means they will need strong & flexible communication skills - flexing between business language & technical briefs able to simplify the complex for commercial teams & senior leadership whilst able to converse in technical detail with developers. This role is both strategic & hands on development. You would design & deliver scaled & automated Commercial Analytics across the regio and this starts with a clear vision for the best in class output so this person will be a proven expert in front end solution/BI development & able to develop POCs to stress test data required together with the end user benefit/UX. Initial focus area of this role will be to automate the analytics supporting our monthly discipline process & business critical RGM tools so experience in activating Supply chain, Sales & Pricing data is strongly preferred. What you will do Stakeholder Collaboration: Build close partnerships with Commercial teams & GIT teams in order to understand with commercial curiosity the business needs & effectively translate/mobilise them into actionable technical requirements. Global Partnership: Build strong relationships with the wider Hills/Global Analytics teams in order to leverage best practices & where relevant create solutions that are scalable for Global Hills. Technical Strategy & Design: Partner with our GIT team to design scalable end-to-end blueprints for data ingestion, transformation, and visualization. Tool Selection: Represent business needs in tool selection, (e.g., Snowflake, Domo, Sigma, Google Suite ) enabling us to leverage the full capabilities of our techstake for optimal user experience. Data Visualisation: Inform a Regional Platform Strategy to drive best in class delivery of UX & speed to insight. Change Management: Plan for & facilitate change management through transitions from legacy to new solutions by proactively recognising user concerns & helping to mitigate. Enablement: Deliver tools, training, materials to local teams that will drive effective adoption of solutions & upskill teams in analytics skills & self service. Governance & Scalability: Ensure all data solutions are secure, compliant, and scalable. Prototyping: Utilise strong developing skills to deliver agile & effective proofs of concept (POCs) to validate architectural approaches. Who you are Skills Advanced Expertise in BI tools (e.g., Domo, Sigma, Looker). Cloud Expertise: Strong proficiency in cloud data platforms (Snowflake). Expertise in SQL, ETL/ELT pipelines, data warehousing. Architectural Knowledge: Proficiency in designing for performance, scalability, and security. Software Development Knowledge: Understanding of SDLC, Agile methodologies, and DevOps practices. Communication: Excellent verbal and written skills to translate complex technical concepts into simple language for non-technical stakeholders. Analytical Thinking & Curiosity: Advanced analytical and problem solving skills to assess business needs and design scalable, optimized, and secure solutions. Commercial Awareness: Ability to align technical decisions with business strategy. Leadership: Ability to lead technical teams, guide developers, and collaborate with enterprise architects. Transformation Mindset: Ability to build a progressive roadmap that pioneers transformation whilst recognising & supporting change management steps needed on the journey to adoption. Qualifications 5-10 years of hands on experience in delivering Analytics solutions, with ideally at least 3-5 years delivering commercially focused analytics serving a wide range of use cases. Experience working with & blending a variety of data types - Sales, Financial, Supply Chain. Proven track record of designing and implementing complex end to end analytic outputs. Experience in driving change Management & Solution Adoption. Experience in data analytics technology landscapes and big data solutions. A bachelor's degree in Computer Science, Information Technology, Data Engineering, or a related field. AI/ML Familiarity: Understanding of how to integrate AI/ML models into data architectures. Platform specific data certifications (e.g., GCP, Snowflake). Our Commitment to Inclusion Our journey begins with our people-developing strong talent with diverse backgrounds and perspectives to best serve our consumers around the world and fostering an inclusive environment where everyone feels a true sense of belonging. We are dedicated to ensuring that each individual can be their authentic self, is treated with respect, and is empowered by leadership to contribute meaningfully to our business. Equal Opportunity Employer Colgate is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender identity, sexual orientation, national origin, ethnicity, age, disability, marital status, veteran status (United States positions), or any other characteristic protected by law. Reasonable accommodation during the application process is available for persons with disabilities. Please complete this request form should you require accommodation.

Data Modeler (Corporate Functions)Applyremote type: Hybrid - Remote and Onsitelocations: Belfast, Northern Irelandtime type: Full timeposted on: Posted Yesterdayjob requisition id: 26-480We are looking for a Data Modeler (Corporate Functions) who will join the Corporate Data Intelligence Team to drive data driven decisions. Overview of the Role You will serve as the critical bridge between business stakeholders and our data platform, deeply embedded in corporate functions including SAP ERP, Master Data, Salesforce (SFDC), Procurement, and Planning. This is a business-facing, domain-focused role with strong data engineering experience. You will design robust, scalable data models, drive requirement gathering sessions, and work hand-in-hand with the Senior Corporate Analytics Architect and the broader Corporate Data Intelligence function. You will report directly to the Corporate Data Intelligence Lead. Your Day-to-Day - We do what others say can't be done Lead and facilitate requirements gathering sessions with business stakeholders across Finance, Procurement, Planning, Supply Chain, and CRM functions Design and maintain conceptual, logical, and physical data models for corporate domains, SAP ERP, Master Data, SFDC, Procurement, and Planning Develop and manage dbt models (transformations, tests, documentation, macros) to support analytics and reporting use cases Partner closely with the Senior Corporate Analytics Architect to align data models with enterprise architecture standards and governance frameworks Serve as the domain SME, map source-to-target lineage from SAP, SFDC, and other enterprise systems with deep understanding of business rules and object hierarchies Translate complex business requirements into clear data model specifications, ER diagrams, and data dictionaries Ensure data consistency and integrity across domains through well-governed master data modelling practices Define and enforce data model standards, naming conventions, and documentation across the Corporate Data Intelligence domain Collaborate with analytics and BI teams to ensure models support self-service analytics, semantic layers, and reusable data assets Act as the liaison between business domain owners and the data platform team Your Profile - Ready to Join the Pack? Proven hands-on experience in data modelling - conceptual, logical, and physical including dimensional modelling and ER design Strong working knowledge of SAP ERP (FI/CO, MM, SD or equivalent modules), Master Data Management, Salesforce (SFDC), Procurement, and Planning processes Hands-on experience with dbt - model development, testing, documentation, and macros Advanced SQL skills with ability to profile, analyze, and validate data against business definitions Demonstrated experience in requirements gathering, running workshops, documenting user stories, and engaging senior business stakeholders confidently Strong analytical mindset, ability to define business metrics, validate data quality, and ensure model accuracy against KPIs Excellent communication and interpersonal skills - comfortable working with Senior Architects, business leads, and cross-functional teams Nice to Have Experience with Data Engineering concepts (ELT pipelines, Snowflake, Dagster) Exposure to Snowflake as the analytics warehouse platform Knowledge of SAP MDG (Master Data Governance) or equivalent MDM platforms Experience in a manufacturing, semiconductor, or high-tech industry environment Familiarity with Agile delivery methodology

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.

Why Verifone For more than 30 years, Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone is one of the leading electronic payment solutions brands and among the largest providers of electronic payment systems worldwide. Verifone has a diverse, dynamic, and fast-paced work environment in which employees are focused on results and have opportunities to excel. We take pride in working with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payment solutions around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it's developing the next generation of secure payment systems or finding new ways to bring electronic payments to emerging markets, the Verifone team is dedicated to the success of our customers, partners, and investors. It is this passion for innovation that drives every Verifone employee toward personal and professional success. What's Exciting About the Role Verifone is seeking a Data Platform Engineer to join our incredible Platform Engineering team. This is an early career role with a focus on Kafka, where you'll be hands on with day to day operations, reliability, tuning, automation, high availability for payment gateway solutions that process billions of transactions annually on prem and in AWS Cloud. You will have the opportunity to leverage your experience, and learn other technologies such as Redis, MongoDB, PostgreSQL, MySQL, Snowflake, etc. Key Responsibilities Operate and support Kafka clusters in MSK, and on prem physical/virtual platforms: topic lifecycle, partitions/replication, client connectivity, ACLs, quotas, and upgrades. Troubleshoot producer/consumer issues (lag, rebalancing, throughput, serialization, retries, ordering). Manage Kafka Connect ecosystem, Debezium, KSQL, Schema Registry. High availability, replication, backup and recovery strategies. Kafka version upgrades in dev and production environments with a zero or very minimum application down time. Support schema/contract patterns (e.g., schema registry concepts, compatibility expectations, versioning). Work with engineering teams to understand the requirement and guide them to best practices and optimize the queries to get the better performance. Monitor cluster health and performance; tune for throughput/latency and manage capacity. Help with incident response and postmortems: identify root cause, implement prevention. Support and improve centralized logging and search for operational troubleshooting and incident response with ELK stack (Elasticsearch, Logstash, Kibana). Build automation for provisioning, configuration, and routine maintenance (IaC and scripting). Implement and improve monitoring/alerting and dashboards (SLIs/SLOs). Participate in on call rotation (with escalation and mentoring) and support production systems. Document systems and operational procedures clearly so others can run what you build. Required Qualifications/Skills 2+ years of hands on experience supporting Kafka in a large scale production environment. Kafka Producer/Consumer Microservices concepts and Kafka distributed Architecture. Solid Linux fundamentals: networking basics, logs, system troubleshooting, process/memory, disk. Comfort with scripting and automation (e.g., Python, Bash). Cloud engineering skills, preferably AWS (EC2, VPC, IAM, MSK/ElastiCache, CloudWatch). Infrastructure-as-Code (Terraform preferred) and CI/CD familiarity. Familiarity with observability tools (metrics/logs/tracing concepts) and incident response practices. Basic understanding of distributed systems tradeoffs (availability, consistency, partitions, backpressure). Strong communication and presentation skills with emphasis on executive communication. Flexible with regards to working shifts; on call & weekends. Preferred Skills (Not Mandatory) Operate Redis deployments for caching, episodic state, queues/streams, and rate limiting use cases. Data engineering skills, including data analytics, data processing, ETL, Data lake (batch and streaming, file formats like Parquet, table formats like Iceberg/Delta/Hudi, basic orchestration), AWS tools (Athena, Glue, Iceberg, Redshift, etc). Relational DB experience: PostgreSQL and/or MySQL (indexing basics, vacuum/analyze, query plans, replication fundamentals). MongoDB operational familiarity (replica sets, elections, oplog basics, backup/restore). Container/Kubernetes familiarity (deployments, stateful workloads, storage classes) is a plus. Experience working with PCI (Payment Card Industry Data Security) standards. On prem experience (VMware/KVM, storage, networking). Security fundamentals: least privilege, secrets management, encryption in transit/at rest concepts. Our Commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.