108 jobs found

Global HR Data Analyst Location Runcorn, Cheshire (UK) Hybrid or Madrid (Spain) Hybrid x3 days in the office Reporting To VP Org Effectiveness and People Transformation Job Summary The Global HR Data Analyst at Swissport is responsible for transforming people data into actionable insights that support strategic decision-making across the organization. This role partners with global and regional teams and business leaders to analyze trends, optimize HR processes, and enhance data-driven people strategies. The position plays a key role in maintaining data integrity, developing dashboards, and delivering analytics that improve operational efficiency and employee experience across multiple countries. Job Responsibilities Collect, analyze, and interpret HR data from various global and regional sources to support business and HR strategies. Lead the HR budgeting and forecasting process, including tracking actuals vs. plan and identifying variances, keeping a close relationship with the FP&A team. Prepare and deliver monthly HR reports and insights to the Chief People Officer (CPO), consolidating regional and global data. Develop and maintain dashboards, reports, and visualizations to provide insights into key HR metrics (e.g., headcount, turnover, absenteeism, diversity, recruitment). Build, maintain, and continuously improve complex Excel models and files for reporting, forecasting, and scenario analysis. Define, build, and monitor global HR KPIs aligned with business and people strategy. Partner with HR stakeholders and business leaders to identify data needs and deliver actionable recommendations. Ensure data accuracy, consistency, and governance across HR systems and reporting tools. Conduct predictive and trend analysis to anticipate challenges and opportunities. Collaborate with IT and HRIS teams to improve data infrastructure, reporting capabilities, and system integrations. Translate complex data findings into clear, concise presentations for non-technical audiences. Monitor and report on key performance indicators (KPIs) aligned with global HR strategy. Support compliance with data privacy regulations (e.g., GDPR) and internal data policies. Qualifications and Competencies Bachelor's degree in human resources, data analytics, business administration, statistics, or a related field. 3-5+ years of experience in HR analytics, data analysis, or a similar role, preferably in a global or matrix organization. Strong analytical and problem-solving skills with the ability to interpret complex datasets. Advanced Excel skills, with demonstrated ability to build and manage complex models, reports, and forecasting tools. Proficiency in data visualization tools (e.g., Power BI, Tableau). Experience with HRIS systems (e.g., Dayforce, Workday, SAP SuccessFactors). Strong attention to detail and commitment to data quality and accuracy. Excellent communication skills with the ability to present insights to senior stakeholders, including the CPO. Demonstrated consulting experience in a fast-paced, client-facing environment, with preference for candidates who have ideally worked in a Big Four professional services environment. Ability to work independently and collaboratively in a fast-paced, multicultural environment. Understanding of HR processes and metrics across the employee lifecycle. Experience in financial planning, budgeting, and forecasting is highly desirable. Fluency in English; additional languages are an asset. Disclaimer This job description indicates the general nature and level of work expected of the incumbent. It is not designed to cover or contain a comprehensive listing of activities, duties or responsibilities required of the incumbent. Incumbent may be required to perform other related duties.

Global restaurant brands run their operation on the Crunchtime platform. Delivering a consistent guest experience across every location and managing food and labor costs are at the core of how Crunchtime's software is used today in over 150,000 locations across 100+ countries by the world's top restaurant and foodservice operators. Customers including Chipotle, Culver's, Domino's, Dunkin', Five Guys and P.F. Chang's rely on our top ranked platform which now includes Zenput to manage inventory, staff scheduling, learning and development, food safety, operational tasks and audits. About the company At Crunchtime, we don't just build software; we power the heartbeat of the hospitality industry. As the industry's only complete, AI powered restaurant operations management suite, Crunchtime is the market leader trusted by 850+ restaurant brands - including Pizza Express, Five Guys, Bone Daddies, and Wingstop. With over 150,000 locations worldwide, we help operators master everything from inventory and labor to kitchen execution. We are expanding rapidly across Europe, and we're looking for a Growth Marketing Manager to build the engine that fuels our EMEA expansion. About the role As a Customer Support Analyst, you will be a key part of making sure that we can keep delivering high-quality support to our customers. You will be able to explore new technology and develop processes to help other team members, grow within our company and make a huge impact from day one. What you'll do as a Customer Support Analyst Help customers solve problems in the CrunchTime platform. Use internal tools to troubleshoot trouble tickets. Analyze data discrepancies between multiple tools to confirm accuracy based on customer inquiries and reassure the customer that data displayed is accurate. Collaborate with a global team to deliver the ultimate customer experience. Support Sales/Success teams with account management and technical support. Be a voice of the customer, helping our product and engineering teams better understand our customers' needs. Sympathize with the customer's situation and take pride in finding them a resolution on tickets submitted. What we're looking for 1 2 years of remote application support experience. 2 4 years of customer facing experience in any industry, but hospitality industry is preferable. Excellent interpersonal and communication skills (written and verbal). Bachelor's Degree. Able to work in a fast paced environment with multiple competing priorities. Ability to prioritize tasks independently based on understanding business impact for the customer. Some SQL knowledge and ability to write/execute multi table queries. Prior experience with POS systems i.e. Toast, Aloha, Brink and/or Simphony. Nice to haves Experience working with a distributed/remote team. Successful track record collaborating cross functionally across internal teams (Sales, Success, Product, Engineering, Marketing, Finance) to solve customer problems. Experience with Jira and Zendesk. Prior experience working with CIS systems like Netsuite, Workday, or Quickbooks. An understanding of Snowflake cloud based data platform. Able to troubleshoot networking and communication protocols. Experience supporting restaurant, convenience store, or grocery industry verticals. A conceptual understanding of what an API is and its role in connecting different software applications. Financial & Future Planning Pension Scheme: Workplace pension with 5% employer matching via auto enrollment. L&D Stipend: £1100 GBP annual professional development budget. Health & Wellbeing Sick Pay: Up to 5 working days of fully paid sick leave may be self certified. After this period, Statutory Sick Pay (SSP) will apply in accordance with local regulations. Medical, Income Replacement & Life Insurance: Comprehensive private healthcare, income replacement, and death in service coverage. Dental Insurance: Fully subsidised dental care. Gym Allowance: £20 GBP monthly wellness credit. Family & Flexibility Parental Leave: We offer an enhanced parental leave package of 10 weeks fully paid for employees with at least six months of service. From Day One, all employees are entitled to statutory leave and pay in accordance with UK government requirements. Time Off: 28 days inclusive of Bank Holidays. Working Norms & Collaboration: At Crunchtime, we believe collaboration is the heartbeat of our success. To foster team cohesion and ensure local brand representation, our standard working model is hybrid, with an expectation of being in office at least three days per month. This presence is vital for the cross functional partnership and creative energy that drive our UK operations. In accordance with the Employment Rights Act 2025, all employees have the statutory right to request flexible working arrangements from Day One. We are committed to discussing individual needs alongside the collaborative requirements of each mission. Equal Opportunity & Accessibility Crunchtime is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Reasonable Adjustments We are committed to providing an inclusive recruitment process. If you require any reasonable adjustments or accommodations to participate in our application or interview process, please let us know by contacting . We want to ensure you have the best opportunity to showcase your skills. Right to Work This role is based in the UK. All successful candidates must have the legal right to work in the UK prior to commencement. Crunchtime does not offer visa sponsorship for this position. Data Privacy By applying for this role, you agree to Crunchtime processing your personal data for recruitment purposes in accordance with our Candidate Privacy Notice and UK GDPR requirements. Equal Employment Opportunity Statement At Crunchtime, we are an equal opportunity employer.

Company Description Depop is the community-powered circular fashion marketplace where anyone can buy, sell and discover desirable secondhand fashion. With a community of over 35 million users, Depop is on a mission to make fashion circular, redefining fashion consumption. Founded in 2011, the company is headquartered in London, with offices in New York and Manchester, and in 2021 became a wholly-owned subsidiary of Etsy.Find out more at Our mission is to make fashion circular and to create an inclusive environment where everyone is welcome, no matter who they are or where they're from. Just as our platform connects people globally, we believe our workplace should reflect the diversity of the communities we serve. We thrive on the power of different perspectives and experiences, knowing they drive innovation and bring us closer to our users. We're proud to be an equal opportunity employer, providing employment opportunities without regard to age, ethnicity, religion or belief, gender identity, sex, sexual orientation, disability, pregnancy or maternity, marriage and civil partnership, or any other protected status. We're continuously evolving our recruitment processes to ensure fairness and are open to accommodating any needs you might have. If, due to a disability, you need adjustments to complete the application, please let us know by sending an email with your name, the role to which you would like to apply, and the type of support you need to complete the application to . For any other non-disability related questions, please reach out to our Talent Partners. Role We're building a Data Quality, Observability & Governance Team to improve the reliability, trust, and compliance of Depop's data ecosystem. As a Staff Data Engineer in this team, you'll lead the design and implementation of frameworks, tools, and processes that strengthen our data foundations - ensuring our data is accurate, observable, and compliant. Your mission will be to reduce the mean time to detection and resolution of data incidents, by establishing data contracts between producers and consumers, developing robust data observability systems, and embedding governance and GDPR compliance principles across the data lifecycle. You'll collaborate with product engineering, data platform, analytics, and legal teams to build confidence in data as a product - one that's reliable, auditable, and actionable. Responsibilities Define and execute the vision for Depop's data quality, observability, and governance frameworks. Establish data contracts between producers and consumers to ensure schema integrity and data reliability. Develop and maintain systems that detect, alert, and resolve data quality issues with minimal latency. Build automation and tooling to reduce MTTD (Mean Time to Detection) and MTTR (Mean Time to Resolution) for data incidents. Partner with data platform engineers to integrate observability at every layer - ingestion, transformation, and consumption. Lead GDPR and privacy-by-design initiatives, ensuring compliance and traceability across all datasets. Define standards for metadata management, lineage tracking, and access control. Collaborate with analytics and product teams to ensure data definitions and quality metrics are consistent across domains. Mentor engineers and analysts, fostering a culture of data stewardship and accountability. Continuously improve data governance maturity through automation, documentation, and measurable quality KPIs. Qualifications Proven experience as a Staff Data Engineer or in an equivalent technical leadership role in data quality, observability, or governance. Deep knowledge of data observability frameworks (Monte Carlo, Soda, or equivalent) and data validation tools (Great Expectations, DBT tests, etc.). Deep understanding of data-as-a-product principles and experience applying them to improve data reliability and ownership. Experience designing and enforcing data contracts and quality SLAs in distributed data ecosystems. Proficiency in Python, Java, or Scala, and experience building pipelines with Databricks, Spark, or Kafka. Strong understanding of data governance principles, privacy regulations (GDPR, CCPA), and secure data handling practices. Familiarity with metadata management and data catalog tools (e.g.DataHub, Collibra, etc.). Demonstrated success improving data reliability and observability in large-scale data platforms. Excellent communication and stakeholder management skills; you can bridge technical depth with operational impact. Bonus Points Experience implementing automated compliance monitoring or policy-as-code systems. Familiarity with real-time anomaly detection for data pipelines. Experience contributing to or leading cross-functional data reliability initiatives. Prior experience in consumer or marketplace platforms. Passion for data as a product - building reliable, observable, and compliant data systems that teams love to use. Additional Information Health + Mental Wellbeing PMI and cash plan healthcare access with Bupa Subsidised counselling and coaching with Self Space Cycle to Work scheme with options from Evans or the Green Commute Initiative Employee Assistance Programme (EAP) for 24/7 confidential support Mental Health First Aiders across the business for support and signposting Work/Life Balance: 25 days annual leave with option to carry over up to 5 days 1 company-wide day off per quarter Impact hours: Up to 2 days additional paid leave per year for volunteering Fully paid 4 week sabbatical after completion of 5 years of consecutive service with Depop, to give you a chance to recharge or do something you love. Flexible Working: MyMode hybrid-working model with Flex, Office Based, and Remote options role dependant All offices are dog-friendly Ability to work abroad for 4 weeks per year in UK tax treaty countries Family Life: 18 weeks of paid parental leave for full-time regular employees IVF leave, shared parental leave, and paid emergency parent/carer leave Learn + Grow: Budgets for conferences, learning subscriptions, and more Mentorship and programmes to upskill employees Your Future: Life Insurance (financial compensation of 3x your salary) Pension matching up to 6% of qualifying earnings Depop Extras: Employees enjoy free shipping on their Depop sales within the UK. Special milestones are celebrated with gifts and rewards!

AI / ML Engineer Fixed Term, 12 months Full Time, 37 hours per week £47,615 to £56,017 per annum Location:Chelmsford Working Style: Anywhere worker Closing Date: 7th June 2026 Interviews: expected to be held w/c 22 June 2026 Essex County Council's Data, Analytics and Performance function provides high quality data, analytics, and AI-driven insight to support evidence based decision making and improve outcomes for residents. Within this environment, the AI/ML Engineer plays a pivotal role in delivering responsible, secure, and sustainable AI and machine learning solutions. The Opportunity As an AI/ML Engineer you will lead the end to end MLOps lifecycle-enabling the organisation to harness data and AI safely, ethically, and at scale. Working closely with Data Scientists, Data Engineers, Information Governance, and service teams, you will deploy, monitor, and maintain robust machine learning systems aligned to public sector governance, responsible AI principles, and UK Local Government standards. With experience in Microsoft Azure, you will embed Azure native tooling and best practice by default, building repeatable, well governed ML pipelines that support both operational and strategic service needs. The role will also support the development of internal AI capability, coaching colleagues and contributing to the council's growing approach to responsible and transparent AI adoption. To read more about our business area, please visit Policy, Economy, Investment and Property Accountabilities Deliver end to end MLOps pipelines using Azure Machine Learning, including training, validation, testing, and deployment workflows, to ensure machine learning solutions are delivered consistently, safely, and at scale, reducing reliance on ad hoc development, improving reproducibility, and enabling ECC to move AI solutions from experimentation into reliable operational use that supports front line services and strategic priorities. Deploy and manage machine learning models using Azure ML managed online endpoints, batch endpoints, and (where appropriate) Azure Kubernetes Service (AKS), to enable resilient, secure, and scalable model hosting, reducing operational risk, accelerating deployment cycles, and ensuring models remain performant, monitored, and supportable throughout their lifecycle. Ensure all machine learning systems are robust, transparent, explainable, and auditable, aligned with Responsible AI principles and UK GDPR, to maintain public trust, support regulatory compliance, and ensure activity supported by AI is fair, lawful, and defensible, enabling ECC to deploy responsible AI with confidence. Implement monitoring and alerting for model performance, data drift, bias, fairness, explainability, and operational health, to detect degradation early, maintain service quality, and reduce the risk of incorrect or biased outputs, ensuring AI solutions continue to deliver reliable insights and outcomes as data and service conditions change. Design, build, and maintain production grade data pipelines that support model training, inference, and retraining, to ensure data used by ML systems is timely, accurate, secure, and fit for purpose, enabling dependable AI outputs and reducing downstream operational and reputational risk arising from poor data quality. Ensure responsible, ethical, and legally compliant use of data across AI solutions, working in line with Information Governance policies, Local Government Cyber Standards, DPIA, and Responsible AI assessments, to safeguard data, uphold statutory obligations, and embed governance by design into AI delivery, enabling compliant innovation across ECC services. Coach and support Data Scientists, Analysts, and other colleagues in Azure Machine Learning and MLOps best practice, to raise organisational capability, reduce delivery bottlenecks, and promote consistent, well governed approaches to AI development, supporting sustainable scaling of AI across the council. Contribute to organisation wide AI capability building and adoption, sharing best practice, advising on technical feasibility, and shaping standards, to enable ECC to make informed, strategic use of AI technologies, improving efficiency, service quality, and evidence based decision making across the organisation. Individual and team objectives will be defined annually within the performance management framework. Knowledge, Skills and Experience Educated to degree level in a quantitative field (e.g. Data Science, Computer Science, Mathematics, Statistics, or Engineering) or equivalent by experience. Strong hands on experience deploying ML solutions in production using Azure Machine Learning. Expertise in Azure native MLOps, including model endpoints, pipelines, registries, environments, and compute management. Skilled in Python engineering for production ML workflows, including testing, packaging, and API frameworks (FastAPI/Flask). Familiarity with responsible AI principles, fairness, explainability, and UK GDPR compliance. Experience working in multidisciplinary teams and engaging with service stakeholders. Ability to distil complex technical concepts into actionable insights for non technical audiences. Desirable Experience with Azure ML AutoML, Prompt Flow, Responsible AI dashboards, and advanced monitoring capabilities. Integration of ML operational metrics into Power BI. Relevant certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Administrator/Architect). Why Essex? As one of the largest and most dynamic UK local authorities, Essex offers a stimulating public service environment. Covering over 1,420 square miles and serving 1.8 million residents, we're committed to transformational change and delivering better quality at lower cost. Recognised in the top three of the latest IMPOWER index for productivity, we ensure everyone matters in Everyone's Essex . With flexible working options and a focus on innovation, whether you are looking to develop your career or contribute to the local community, Essex is the ideal place for you. In March 2026, the Government announced that councils in Greater Essex will be reorganised into five new unitary authorities from April 2028. In addition to this, Greater Essex has been accepted on to the devolution priority programme, where we will work towards establishing a Mayoral Combined County Authority. You can read more about these changes, and what this may mean for this role, on our careers site . Essex County Council is proud to be a Disability Confident Leader. We're committed to interview all disabled applicants who choose to apply under our Job Interview Scheme if they meet the minimum requirements of the job. Please speak to our Recruiters if you require any reasonable adjustments during the process.We're also committed to interview allveteransandcare leavers, who meet the minimum requirements of the role for which they are applying. Once you've secured your role within Essex County Council you will receive many great employee benefits, including support for unpaid carers and flexible working arrangements to accommodate their needs. At Essex County Council, we value integrity and ethical behaviour. We kindly ask that you embrace our code of conduct and the Nolan principles , including throughout the recruitment process. Your commitment to these standards helps us maintain a positive and respectful workplace for everyone. As part of employment with Essex County Council (ECC) should your role require a DBS check you will be required to register with the DBS update service. The DBS update service ensures all registered DBS certificates are kept up to date and allows authorised parties to view the status of your certificate. This is an annual subscription, and you will be responsible for ensuring this is maintained. For further information on the DBS update service please go to Essex County Council is committed to safeguarding and promoting the welfare of children and vulnerable adults, and expects all employees and volunteers to share this commitment. If you would like to be kept up to date on other relevant opportunities, blogs, news, events and industry related news at Essex County Council, please join The Essex Talent Community If you have queries or require anything further, please Follow us on Facebook , Twitter , Instagram and LinkedIn . Further details can be found on our careers page . Links / Downloads Pay and Reward Our Ways of Working About Us Organisation Behaviours

At Gamma, we're more than just a leader in Unified Communications as a Service (UCaaS). We're a fast-moving technology organisation delivering innovative voice, data, and mobile solutions across Europe. Our product and service portfolio is at the heart of what we do - powering reliable, scalable communications for thousands of businesses. Behind the scenes, our engineering teams design, build, and maintain the software systems that generate real business impact. We combine the agility of a start-up mindset with the stability of a leading European business. Collaboration, ownership, and continuous improvement define how we work - and we're always looking for people who want to build meaningful technology at scale. Who are we looking for? Design, build, and continually improve end to end, Snowflake based curated analytics data models that deliver secure, reliable, and high performing data to meet the needs of stakeholder teams across the business. What will you be doing day-to-day? Design, develop, and maintain Snowflake based curated analytics models and views that transform raw business data into trusted, analytics ready datasets. Ensure curated datasets are secure, reliable, and performant by applying Snowflake best practices, including RBAC, query optimisation, and efficient use of materialisation and compute resources. Implement and operate core Snowflake features such as Snowpipe, Streams, and Tasks, and leverage Snowflake Cortex/AI capabilities (semantic views, analyst services, search engines) to enhance self service analytics and advanced analytical use cases. Develop and maintain ELT workflows using dbt and orchestration tools (Openflow/NiFi preferred), with a strong understanding of upstream ingestion patterns and a primary focus on supporting downstream analytics and data serving. Work closely with product, engineering, and business stakeholders to turn requirements into scalable data solutions. Mentor and support other squad members in adopting data engineering best practices. What you'll need 3+ years of data engineering experience, with 2+ years hands on with Snowflake, building analytics focused ELT pipelines and curated datasets. Advanced SQL and solid Python skills, with experience using Snowflake features such as Snowpipe, Streams, Tasks, stored procedures, and performance optimisation. Familiarity with a cloud platform is important (AWS preferred). Hands on experience with dbt, including analytics transformations, testing, documentation, and version controlled development. Strong analytics data modelling skills, including star, snowflake, and denormalised schemas, with a clear understanding of grain, facts, and dimensions. Understanding of data governance and security, including RBAC, GDPR considerations, pipeline monitoring, and core warehousing concepts (SCDs, partitioning, clustering, indexing). SnowPro Core or Advanced certification is desirable. Experience with vector search/embeddings, RAG patterns, applied machine learning, or analytical feature engineering is a plus. What do we offer you? At Gamma, we believe in work-life balance, which is why we offer 25 days of annual leave, plus an extra day off for your birthday. We also provide a volunteer day, allowing you to support a cause that matters to you. Family is important to us. With enhanced maternity and paternity pay, we support you at every stage of life. Our contributory pension scheme helps you plan for the future, with Gamma increasing contributions in line with yours. Your wellbeing comes first. We offer group income protection, life assurance (four times your salary), and private medical insurance through Vitality, which extends to your immediate family. We want you to share in our success, which is why we offer tax efficient share save and share incentive plans. We're also committed to sustainability, offering an Electric Vehicle scheme through Octopus and a Cycle to Work scheme, making greener travel easier. A few things to note Unfortunately, we can't offer visa sponsorship or relocation support for this role. This role is hybrid, with office and home working flexibility. If you feel you could be a great fit for Gamma but don't meet every requirement, we still encourage you to apply - you might be exactly who we're looking for. Gamma is an equal opportunity employer. We are committed to building inclusive, diverse teams where everyone can be their authentic selves. We welcome applications from all backgrounds and do not discriminate based on any protected characteristics. Recruitment agencies: We work with a trusted group of recruitment partners and are not looking to expand this network at present. Please do not send speculative CVs.

Soho House is a global network of private members' clubs, restaurants, hotels, workspaces and cinemas, catering to those in the creative industries. The company has unique ventures throughout the UK, EU, NA, LATAM and APAC with new openings planned globally. Soho House is a space for its diverse membership and teams to connect, grow, have fun and make an impact. Soho House was created to bring diverse communities of people together, and we take the same approach when building our teams. We thrive on differences and believe it is critical to our success as a global company. Soho House is proud to be an equal opportunity workplace that seeks to recruit, develop and retain the most talented people from a variety of backgrounds, perspectives, and skills. We therefore encourage applications from all genders, races, religions, ages and sexual orientations, as well as parents, veterans, people living with disabilities, and any other groups that could bring diverse perspectives to our business. The Role The Junior Data Privacy Analyst will report directly into the Data Privacy Lead and work alongside another analyst, you will be instrumental in progressing and maintaining the privacy framework and support with the implementation and maintenance of data protection policies and procedures and monitoring the adherence to these policies across the organisation. You will support the business in advising on data privacy requirements in the hospitality industry and cross region in line with the locations of our houses. You will support the Data Privacy team by handing day to day tasks, following established processes to conduct privacy risk assessments, manage consumer rights and other tasks. The Junior Data Privacy Analyst will be instrumental in supporting the maintenance of our privacy framework and fostering a culture of data protection Key Responsibilities Conduct Data Protection Impact Assessments (DPIA's) and Vendor assessments, you will review vendor responses and identify potential privacy risks and compliance gaps. Track the progress of assessments and ensure timely completion. Support with updating and maintaining the Record of Processing activities (RoPA) Liaise with departments and projects to provide data protection advice, whilst guiding and ensuring that the business is aware of data privacy best practices Dealing with Data Subject Access Rights requests, utilising Microsoft Purview software Support with contract reviews Support with maintaining a training and awareness plan and deliver relevant training as well as tracking completion rates and scheduling sessions Maintain our OneTrust Privacy management portal and track incoming requests Maintain policies and documentation Oversee multiple privacy-related mailboxes Document assessment findings and elevate high-risk vendors to the Privacy lead for further review. Monitor and track new and emerging privacy regulations, guidance, and enforcement actions globally. Assist in the preparation of reports and summaries on relevant regulatory developments for internal stakeholders. Provide admin support for projects e.g. sending out assessments and arranging data mapping sessions Experience Required Previous experience in a dedicated data privacy role, ideally 1-2 years experience Excellent understanding of global data privacy requirements, with in-depth knowledge of UK and EU regulations (such as GDPR, etc.). Previous experience in identifying, managing, and mitigating data privacy risks as part of a Privacy team. Able to demonstrate the ability to identify and solve problems. Effective communication and collaboration skills, with confidence presenting in various forums, influencing stakeholders, and contributing across teams. Proactive, and outcome-focused mindset, with keen attention to detail, organisational skills, and the ability to prioritise and drive results independently A collaborative team player who brings a positive, approachable attitude, shares knowledge openly, and engages confidently across business areas. Proven ability to work effectively as a team player is important for supporting a busy department. The ability to manage a workload in a fast-paced environment Benefits Soho House offers competitive compensation packages that feature global benefits and perks. Whether you're seeking entry-level employment or a new opportunity to expand your profession, we offer training to develop the technical and managerial skills necessary to grow your career. 50% off Food & Drink, 7 days a week Staff Room Rates Private Health and Dental Care Weekly Pay Life Assurance Up to 50% Staff Discount on Cowshed & Soho Home Season Ticket Loan In conjunction with Soho Impact, take 2 days paid a year to support a charity of your choice. Free Counselling Sessions Cookhouse & House Tonic: Our Cookhouse & House Tonic programmes offer unique food and drink trainings, events and opportunities to inspire and educate. Continuous training to develop yourself personally and professionally Exclusive access to our benefits platform with hundreds of discounts on shopping, gym memberships, holidays, insurance and much more Team Events: From fitness sessions to cinema screenings and art classes, each month we hold a series of fun events which you can sign up to.

.Built on meritocracy, our unique company culture rewards self-starters and those who are committed to doing what is best for our customers. AI Engineer Location: Hybrid - London Package: Negotiable + Benefits We are seeking an AI Engineer to design, build, and deploy Generative AI and AI driven applications using Google Cloud Platform (GCP) and leading Large Language Models (LLMs) such as ChatGPT (OpenAI) and Claude (Anthropic).This role is hands on and delivery focused: you will move AI from prototype to production, working closely with business stakeholders, data teams, and risk & compliance to deliver safe, scalable, and compliant AI solutions for regulated insurance environments. The day to day: AI Solution Design & Delivery Design, build, and deploy AI powered applications including chatbots, copilots, document intelligence, and decision support tools for insurance use cases. Implement Retrieval Augmented Generation (RAG) patterns using structured and unstructured insurance data (policies, submissions, bordereaux, claims documents). Build LLM based workflows and agents using platforms such as ChatGPT (OpenAI) and Claude (Anthropic). Cloud & Platform Engineering (GCP) Develop and deploy AI solutions on Google Cloud Platform, leveraging services such as Vertex AI, BigQuery, Cloud Run, and secure API integrations. Implement scalable, resilient architectures suitable for production use in a regulated financial services environment. Integrate AI services into existing business applications and workflows. Data, MLOps & Engineering Work with Data Engineers and Analysts to prepare, embed, and manage data for AI use cases, including vector databases and embeddings. Implement CI/CD, monitoring, logging, and model performance tracking for AI solutions. Ensure solutions are maintainable, reusable, and cost effective. Responsible AI & Governance Design AI solutions that align with Responsible AI, GDPR, and insurance regulatory expectations. Implement controls for data privacy, prompt safety, hallucination mitigation, and auditability. Partner with Risk, Compliance, and Security teams to ensure safe AI adoption. Collaboration & Stakeholder Engagement Work closely with Product Owners, Underwriters, Brokers, Operations, and Technology teams to translate business problems into AI solutions. Clearly explain AI concepts, limitations, and outcomes to non technical stakeholders. Contribute to shaping Brown & Brown Europe's AI standards, patterns, and reusable components. About you: Core Engineering Strong Python development experience (production grade code). Experience integrating AI services via APIs and building backend services. Familiarity with modern software engineering practices (version control, testing, CI/CD). Generative AI & LLMs Hands on experience with ChatGPT / OpenAI APIs and/or Anthropic Claude. Practical experience with prompt engineering, system prompts, and evaluation techniques. Experience implementing RAG architectures, vector databases, and semantic search. Cloud & Platforms Strong experience with Google Cloud Platform (GCP), ideally Vertex AI. Experience deploying services using Docker / containerised workloads. Understanding of cloud security, IAM, and cost management. Data & AI Tooling Experience working with structured and unstructured data. Familiarity with vector stores, embeddings, and document processing pipelines. Exposure to orchestration frameworks (e.g. LangChain style patterns) is desirable. Domain Experience (Highly Desirable) Experience delivering AI or data solutions in insurance or financial services. Understanding of insurance workflows such as underwriting, claims, broking, or compliance. Experience working in regulated environments with strong data protection requirements. Soft Skills & Attributes Pragmatic problem solver focused on business value, not just models. Comfortable working in ambiguous, fast moving environments. Strong communication skills - able to explain AI outcomes and risks clearly. Collaborative mindset with a passion for continuous learning in a fast evolving AI landscape. Education & Experience Degree in Computer Science, Engineering, AI, or a related discipline (or equivalent practical experience). Demonstrated experience delivering AI solutions into production. A strong portfolio of real world AI or GenAI implementations is highly valued. The rewards: A negotiable basic salary and all the normal benefits you'd expect (Holiday, company pension etc.) A collaborative, open and honest environment that is designed to deliver the best outcomes to our clients and staff A flexible working methodology to enable you to be where you need to be, if you don't need to be in an office then don't, if you want to be in an office your welcome to use one. An environment built around supporting and developing our staff with funding available for relevant professional qualifications.We are an Equal Opportunity Employer. We take pride in the diversity of our team and seek diversity in our applicants.Founded in 1939 as a small, two-partner firm, Brown & Brown (NYSE: BRO) and our team of companies have grown into one of the world's largest insurance brokerages while staying true to our foundation of trust, resilience and delivering results. With a team that is as connected locally as it is globally, our high-performing, highly collaborative team delivers innovative risk and insurance solutions.We look for individuals who embrace our culture, thrive in a collaborative environment, are driven to grow and succeed and are committed to always doing what is right. With a unique culture built on integrity, superior capabilities and grit, we value teamwork, trust and courage. We think of ourselves as a team, so we have teammates-not employees, and leaders-not managers. Everything we do is about the greater "WE"-never "me." While diverse in abilities and experience, we are all connected through our core values, a commitment to our local communities and a shared mission-always doing what is best for our customers.

Data Engineer Location: London office / Hybrid (2 days per week in the office) Reporting to: Head of Data Engineering Overview Millions of people visit the Rightmove website every month. We have a huge amount of data about how people use the site, and what this means to our customers. You'll be joining our growing Data Engineer & Infrastructure team - a collaborative, high performing group of engineers that uses this data to build the infrastructure that powers the UK's favourite property site. This is a hands on engineering role, where you will implement and maintain the technical foundations on a modern GCP based data platform: from writing robust Python and SQL, to deploying infrastructure with Terraform, and ensuring our pipelines are reliable, secure, and efficient. You take pride in executing the delivery of data engineering to the highest standards: building and maintaining batch and streaming data pipelines, managing ingestion and egress processes, supporting the analytics data layer that drives and powers all our reporting and insights to power our products across the entire business. This is an opportunity to join an inclusive, tight knit, high calibre engineering culture. Deepen your technical experience with a modern GCP stack, and apply your data engineering expertise to a platform used by millions every day. What You'll Be Doing Build and manage data pipelines that ingest, transform, and serve data across the business Contribute to the design and implementation of cloud based infrastructure using Terraform Work on complex data challenges, balancing short term delivery with long term platform evolution Collaborate with data product owners and stakeholders to collect and refine data requirements Optimise data storage, infrastructure performance, and cost within our data platform Support the analytics data layer by enabling clean, reliable data for downstream use in Looker and BigQuery Collaborate with analytics engineers, analysts, and data scientists to support their data use cases Contribute to the evolution of our self serve data platform and the implementation of our data strategy Participate in agile ceremonies, including sprint planning, refinement, and retrospectives Promote and practice excellent data and cloud engineering best practices, including testing, documentation, and observability We're Looking For Someone Who Has 3-5 years of proven experience in data engineering, working on production grade data pipelines and infrastructure within a large scale, cloud based data platform Has worked in a complex organisation with a mature or evolving data platform (e.g. BigQuery, Looker) Has strong Python coding skills and is confident writing complex SQL queries Has demonstratable experience, using Terraform to successfully manage infrastructure as code in a large scale platform Has hands on experience with GCP (BigQuery, GCS, Dataflow, Cloud Composer) or AWS (Redshift, S3, AWS Glue) Experience with dbt and understands data modelling principles and best practices Deep understanding of data storage, modelling, and orchestration concepts Has demonstratable experience setting up and managing data pipelines end to end Brings a collaborative and curious mindset, and enjoys working in cross functional teams Optimistic, curious and gets excited by tech, enjoys keeping up with current trends. Actively gets involved and enjoys contributing to tech events Is proactive, communicative, and comfortable contributing to technical discussions and design decisions Experience working with version control (Git) and CI/CD practices Awareness of data quality, privacy, and security best practices Knowledge of GDPR and data security best practices, as well as frameworks for testing, monitoring, and alerting in relation to data pipelines What We Offer Cash plan for dental, optical and physio treatments. Private Medical Insurance, Pension and Life Insurance, Employee Assistance Plan. 27 days holiday plus two (paid) volunteering days a year to give back, and holiday buy schemes. Hybrid working pattern with 2 days in the office. Contributory stakeholder pension. Life assurance at 4 your basic salary to a spouse, family member or other nominated person in your life. Competitive compensation package. Paid leave for maternity, paternity, adoption & fertility. Travel Loans, Bike to Work scheme, Rental Deposit Loan. Charitable contributions through Payroll Giving and donation matching. Access deals and discounts on things like travel, electronics, fashion, gym memberships, cinema discounts and more. Equal Opportunity Employer As an Equal Opportunity Employer, Rightmove will never discriminate based on age, disability, sex, race, religion or belief, gender reassignment, marriage / civil partnership, pregnancy/maternity or sexual orientation. At Rightmove, we believe that a diverse and inclusive workforce leads to better innovation, productivity and overall success. We are committed to creating a welcoming and inclusive environment for all employees, regardless of their background or identity, to develop and promote a diverse culture that reflects the communities we serve.

Team Support 501 Brooker Creek Blvd Oldsmar, FL 34677, USA OVERVIEW The Business Analyst - People Team serves as a strategic partner to HR and business leaders, translating people data into actionable insights that drive workforce decisions. This role supports People initiatives by analyzing trends, optimizing processes, supporting HR technology implementations, and delivering reporting that improves employee experience and organizational performance. The ideal candidate blends analytical expertise with HR functional knowledge and thrives in a fast-paced, cross-functional environment. KEY RESPONSIBILITIES People Data & Analytics An alyze workforce data including headcount, turnover, retention, engagement, recruiting, compensation, and performance. Build dashboards and reports that provide visibility into People KPIs and trends. Identify insights and recommend actions to improve organizational effectiveness. Support workforce planning and talent strategy through predictive and scenario analysis D evelop and maintain recurring reports (monthly, quarterly, annual). Create executive-ready dashboards and data reports. Automate manual reporting processes to improve efficiency and accuracy. Ensure data integrity across systems. P artner on HRIS, LMS, ATS, and People system implementations and enhancements. Gather business requirements and translate them into technical specifications. Conduct system testing (UAT), validation, and troubleshooting. Support integrations between HR and enterprise systems. Process Improvement/Development E valuate current People processes and identify opportunities for optimization. Document workflows, SOPs, and process maps. Lead or support continuous improvement initiatives. D rive standardization and scalability across People operations. Work with other business units and/or subsidiaries to support process improvements ac ross the enterprise. Stakeholder Partnership C ollaborate with HR Business Partners, Talent Acquisition, L&D, Payroll, and Benefits teams. Consult with leaders to understand business challenges and data needs. Present findings and recommendations to People leadership. Support change management and communications related to People initiatives. Compliance & Data Governance E nsure compliance with data privacy regulations (e.g., GDPR, HIPAA where applicable). Maintain confidentiality of sensitive employee information. Establish data governance standards and audit processes. QUALIFICATIONS B achelor's degree in Business Analytics, Human Resources, Finance, Information Systems, or related field. Master's degree or HR/Analytics certification preferred. 3-5+ years of experience in Business Analysis, HR Analytics, or People Operations. Experience working within HR or People teams strongly preferred. Experience supporting HR technology implementations is a plus. Advanced Excel (pivot tables, Power Query, formulas, macros). Experience with BI tools (Power BI, Tableau, Qlik, etc.). Familiarity with HRIS platforms direct experience with Paycor a plus (Paycor, Workday, Oracle, UKG, ADP, SAP SuccessFactors, etc.). Knowledge of ATS and LMS systems preferred. Basic SQL or data querying skills a plus. Experience with data visualization and storytelling MarineMax and its subsidiaries uses E-Verify, an Internet-based system, to confirm the eligibility of all newly hired employees to work in the United States. Learn more about E-Verify, including your rights and responsibilities. Equal Opportunity Employer This employer is required to notify all applicants of their rights pursuant to federal employment laws. For further information, please review the Know Your Rights notice from the Department of Labor.

Analyst, Incident and Problem Analyst page is loaded Analyst, Incident and Problem Analystlocations: Londontime type: Full timeposted on: Posted 30+ Days Agojob requisition id: -WDDiscover your opportunity with Mitsubishi UFJ Financial Group (MUFG), one of the world's leading financial groups. Across the globe, we're 150,000 colleagues, striving to make a difference for every client, organization, and community we serve. We stand for our values, building long-term relationships, serving society, and fostering shared and sustainable growth for a better world.With a vision to be the world's most trusted financial group, it's part of our culture to put people first, listen to new and diverse ideas and collaborate toward greater innovation, speed and agility. This means investing in talent, technologies, and tools that empower you to own your career.Join MUFG, where being inspired is expected and making a meaningful impact is rewarded.The role of MUFG Technology Resilience is to ensure that critical business services' underlying processes, systems and applications are resilient and can, where possible, continue to be provided to service users even in the event of disruption. MAIN PURPOSE OF THE ROLE We are seeking an Incident and Problem Analyst with a strong focus on ensuring resilience in line with regulation including Digital Operational Resilience Act (DORA) and Operational Resilience (SS1-21) . This role is will support our organisation's operational resilience of systematically managing and mitigating IT incidents, analysing root causes, and supporting/recommending the implementation of preventative measures to minimise disruptions. The successful candidate will work closely with cross-functional teams to ensure that IT processes, controls, and practices align with regulatory requirements, helping safeguard our digital platform and maintain compliance across all IT operations. KEY RESPONSIBILITIES The role holder will support the following: Problem Management Oversee the identification, classification, and root cause analysis of IT problems, implementing strategies to resolve incidents effectively and prevent recurrence.Develop and maintain problem management procedures, including risk assessment, monitoring, and reporting, to optimise IT service continuity.Manage a portfolio of IT problems, ensuring timely resolution, tracking of progress, and communication of impacts and solutions to relevant stakeholders. Regulatory Compliance Implement, maintain, and optimise controls and processes to ensure compliance with regulatory standards, focusing on operational resilience, ICT risk management, and security incident management.Develop reporting mechanisms to track regulatory compliance, providing regular updates to senior management on potential risks, areas for improvement, and overall compliance status.Liaise with regulatory and compliance teams to maintain a thorough understanding of regulatory requirements and proactively address any updates or changes to regulatory guidelines. Incident Coordination & Response In order to maintain exceptional standards to our clients, act as a point of escalation during major IT incidents both in and out of business hours; coordinating with cross-functional teams to resolve issues swiftly and with minimal business impact. This will be part of a 24 x 7 on-call team as required.Conduct post-incident reviews to identify the root causes, key lessons, and potential improvements for future resilience.Drive communication with stakeholders during major incidents, ensuring timely updates take place and align with internal and external communication standards. Risk & Resilience Planning Develop and maintain an IT risk register that aligns with regulation, documenting all risks, controls, mitigations, and responsibilities to safeguard digital operational resilience.Work with the Operational Resilience teams to conduct regular resilience testing and scenario analysis to assess the effectiveness of controls and recovery strategies.Recommend and implement changes to IT processes and architecture to enhance resilience, ensuring that problem management practices align with industry standards and regulatory requirements. Continuous Improvement Lead initiatives to improve IT service performance and resilience, leveraging insights gained from problem management activities to refine processes and enhance service reliability.Develop and maintain a knowledge repository of known errors, workarounds, and incident playbooks, fostering a culture of proactive risk management.Collaborate with IT operations, change management, and development teams to refine processes that improve system reliability and mitigate ICT risk.The above responsibilities will be performed across both MUFG Bank and MUFG Securities EMEA plc under a dual-hat arrangement. Under the arrangement, the role holder will act and make decisions on behalf of both the bank and the securities business, subject to the same remit and level of authority, and irrespective of the employing entity. WORK EXPERIENCE The role holder will ideally have 3+ years of experience in IT Problem Management, Incident Management, or a similar role, with a demonstrated focus on regulatory compliance and IT resilience. SKILLS AND EXPERIENCE Functional / Technical Competencies: Technical Knowledge : Some understanding of regulation including DORA requirements, ICT risk management, and digital resilience best practices. Problem-Solving Skills : Exposure to root cause analysis, critical incident response, and problem-solving techniques to address complex IT issues. Regulatory Understanding : Some experience ensuring compliance with regulatory standards such as DORA, GDPR, or equivalent regulations in the financial/technology sector. Interpersonal Skills : Exceptional communication and collaboration skills to work effectively with cross-functional teams and drive compliance initiatives. Tools : Proficiency with ITSM tools (e.g., ServiceNow, JIRA), monitoring systems, and reporting platforms; experience with automation tools is a plus. Education / Qualifications: Degree in Information Technology, Computer Science, Engineering, or a related field; Certifications in ITIL, CISM, or CRISC are a plus. Familiarity with frameworks such as ITIL, COBIT, or NIST Cybersecurity. Experience working in regulated environments, particularly in finance, insurance, or critical infrastructure sectors are a plus. PERSONAL REQUIREMENTS Evidence of effective communication skills both written and verbal including presentations Strong analytical and problem-solving skills Excellent attention to detail and accuracy Results driven, with a strong sense of accountability An ability to operate with urgency and prioritise work accordingly A structured and logical approach to work Excellent interpersonal skills Strong Microsoft Office skills Experience using JIRA to track project activitiesWe are open to considering flexible working requests in line with organisational requirements.MUFG is committed to embracing diversity and building an inclusive culture where all employees are valued, respected and their opinions count. We support the principles of equality, diversity and inclusion in recruitment and employment, and oppose all forms of discrimination on the grounds of age, sex, gender, sexual orientation, disability, pregnancy and maternity, race, gender reassignment, religion or belief and marriage or civil partnership.We make our recruitment decisions in a non-discriminatory manner in accordance with our commitment to identifying the right skills for the right role and our obligations under the law.

AI / ML Engineer Fixed Term, 12 months Full Time, 37 hours per week £47,615 to £56,017 per annum Location:Chelmsford Working Style: Anywhere worker Closing Date: 7th June 2026 Interviews: expected to be held w/c 22 June 2026 Essex County Council's Data, Analytics and Performance function provides high quality data, analytics, and AI-driven insight to support evidence based decision making and improve outcomes for residents. Within this environment, the AI/ML Engineer plays a pivotal role in delivering responsible, secure, and sustainable AI and machine learning solutions. The Opportunity As an AI/ML Engineer you will lead the end to end MLOps lifecycle-enabling the organisation to harness data and AI safely, ethically, and at scale. Working closely with Data Scientists, Data Engineers, Information Governance, and service teams, you will deploy, monitor, and maintain robust machine learning systems aligned to public sector governance, responsible AI principles, and UK Local Government standards. With experience in Microsoft Azure, you will embed Azure native tooling and best practice by default, building repeatable, well governed ML pipelines that support both operational and strategic service needs. The role will also support the development of internal AI capability, coaching colleagues and contributing to the council's growing approach to responsible and transparent AI adoption. To read more about our business area, please visit Policy, Economy, Investment and Property Accountabilities Deliver end to end MLOps pipelines using Azure Machine Learning, including training, validation, testing, and deployment workflows, to ensure machine learning solutions are delivered consistently, safely, and at scale, reducing reliance on ad hoc development, improving reproducibility, and enabling ECC to move AI solutions from experimentation into reliable operational use that supports front line services and strategic priorities. Deploy and manage machine learning models using Azure ML managed online endpoints, batch endpoints, and (where appropriate) Azure Kubernetes Service (AKS), to enable resilient, secure, and scalable model hosting, reducing operational risk, accelerating deployment cycles, and ensuring models remain performant, monitored, and supportable throughout their lifecycle. Ensure all machine learning systems are robust, transparent, explainable, and auditable, aligned with Responsible AI principles and UK GDPR, to maintain public trust, support regulatory compliance, and ensure activity supported by AI is fair, lawful, and defensible, enabling ECC to deploy responsible AI with confidence. Implement monitoring and alerting for model performance, data drift, bias, fairness, explainability, and operational health, to detect degradation early, maintain service quality, and reduce the risk of incorrect or biased outputs, ensuring AI solutions continue to deliver reliable insights and outcomes as data and service conditions change. Design, build, and maintain production grade data pipelines that support model training, inference, and retraining, to ensure data used by ML systems is timely, accurate, secure, and fit for purpose, enabling dependable AI outputs and reducing downstream operational and reputational risk arising from poor data quality. Ensure responsible, ethical, and legally compliant use of data across AI solutions, working in line with Information Governance policies, Local Government Cyber Standards, DPIA, and Responsible AI assessments, to safeguard data, uphold statutory obligations, and embed governance by design into AI delivery, enabling compliant innovation across ECC services. Coach and support Data Scientists, Analysts, and other colleagues in Azure Machine Learning and MLOps best practice, to raise organisational capability, reduce delivery bottlenecks, and promote consistent, well governed approaches to AI development, supporting sustainable scaling of AI across the council. Contribute to organisation wide AI capability building and adoption, sharing best practice, advising on technical feasibility, and shaping standards, to enable ECC to make informed, strategic use of AI technologies, improving efficiency, service quality, and evidence based decision making across the organisation. Individual and team objectives will be defined annually within the performance management framework. Knowledge, Skills and Experience Educated to degree level in a quantitative field (e.g. Data Science, Computer Science, Mathematics, Statistics, or Engineering) or equivalent by experience. Strong hands on experience deploying ML solutions in production using Azure Machine Learning. Expertise in Azure native MLOps, including model endpoints, pipelines, registries, environments, and compute management. Skilled in Python engineering for production ML workflows, including testing, packaging, and API frameworks (FastAPI/Flask). Familiarity with responsible AI principles, fairness, explainability, and UK GDPR compliance. Experience working in multidisciplinary teams and engaging with service stakeholders. Ability to distil complex technical concepts into actionable insights for non technical audiences. Desirable Experience with Azure ML AutoML, Prompt Flow, Responsible AI dashboards, and advanced monitoring capabilities. Integration of ML operational metrics into Power BI. Relevant certifications (e.g., Azure AI Engineer Associate, Azure Data Scientist Associate, Azure Administrator/Architect). Why Essex? As one of the largest and most dynamic UK local authorities, Essex offers a stimulating public service environment. Covering over 1,420 square miles and serving 1.8 million residents, we're committed to transformational change and delivering better quality at lower cost. Recognised in the top three of the latest IMPOWER index for productivity, we ensure everyone matters in Everyone's Essex . With flexible working options and a focus on innovation, whether you are looking to develop your career or contribute to the local community, Essex is the ideal place for you. In March 2026, the Government announced that councils in Greater Essex will be reorganised into five new unitary authorities from April 2028. In addition to this, Greater Essex has been accepted on to the devolution priority programme, where we will work towards establishing a Mayoral Combined County Authority. You can read more about these changes, and what this may mean for this role, on our careers site . Essex County Council is proud to be a Disability Confident Leader. We're committed to interview all disabled applicants who choose to apply under our Job Interview Scheme if they meet the minimum requirements of the job. Please speak to our Recruiters if you require any reasonable adjustments during the process.We're also committed to interview allveteransandcare leavers, who meet the minimum requirements of the role for which they are applying. Once you've secured your role within Essex County Council you will receive many great employee benefits, including support for unpaid carers and flexible working arrangements to accommodate their needs. At Essex County Council, we value integrity and ethical behaviour. We kindly ask that you embrace our code of conduct and the Nolan principles , including throughout the recruitment process. Your commitment to these standards helps us maintain a positive and respectful workplace for everyone. As part of employment with Essex County Council (ECC) should your role require a DBS check you will be required to register with the DBS update service. The DBS update service ensures all registered DBS certificates are kept up to date and allows authorised parties to view the status of your certificate. This is an annual subscription, and you will be responsible for ensuring this is maintained. For further information on the DBS update service please go to Essex County Council is committed to safeguarding and promoting the welfare of children and vulnerable adults, and expects all employees and volunteers to share this commitment. If you would like to be kept up to date on other relevant opportunities, blogs, news, events and industry related news at Essex County Council, please join The Essex Talent Community If you have queries or require anything further, please Follow us on Facebook , Twitter , Instagram and LinkedIn . Further details can be found on our careers page . Links / Downloads Pay and Reward Our Ways of Working About Us Organisation Behaviours

Overview At Gallagher Re, we are seeking an experienced Data Platform and Design Lead to establish and evolve the core fundamentals of our Data Platform. This platform will support operational, transactional, and analytics data, enabling seamless ingestion, storage, and consumption of data for Gallagher Re's products and business platforms. The role will focus on continuously maturing the platform to support report integrations, as well as advanced capabilities in artificial intelligence (AI), machine learning (ML), and analytics. As a key member of the data team, you will focus on: Strategically designing the data platform, including the evolution of data domains, data lifecycles, and enabling data capabilities. Building fantastic working relationships with corporate teams and managing and aligning divisional needs with the broader enterprise data platform. Additional responsibilities include: Ensuring the quality, security, and governance of all data within the platform, with an emphasis on collaboration with data stewards and robust data governance practices. Enabling data consumption and value creation by managing demand and prioritisation through a unified roadmap, driving data literacy, and fostering adoption across the organisation. This role requires a combination of commercial insight, expertise in data technologies, exceptional stakeholder engagement skills, and the ability to drive both transformational and business as usual initiatives within a fast paced, dynamic environment. A core aspect of this role is close collaboration with the enterprise to ensure alignment with enterprise wide standards, patterns, and reference architectures, including OneSource. How you'll make an impact Data Platform Design and Development Domains: Create logical groupings of data aligned with business functions to ensure clarity, ownership, and scalability. Data Contracts: Manage formal agreements between data producers and consumers regarding data quality, availability, and usage. Target Data Lifecycles: Define and implement data lifecycles across Gallagher Re processes in line with supporting technical architecture. Analytics Sandboxes: Enable secure, flexible environments for data experimentation and innovation. AI & ML Opportunities: Facilitate the adoption of AI and machine learning solutions. Client Preferences: Implement data structures and automated processes to capture, manage, and utilise client preferences. Governance and Handover Establish the following foundational elements before transitioning responsibilities to the Data Platform Governance Lead as the platform matures: Master Data Management & Data Flows: Define and control how master data is created, maintained, and used. Reference Data Management: Define and control how reference data is created, maintained, and shared. Metadata & Data Lineage: Define and control how metadata and data lineage are created, maintained, shared, and used. Key Skills & Competencies Contribute to the broader data strategy and vision for Gallagher Re. Demonstrate a fantastic technical understanding of the software delivery lifecycle and agile methodologies within a large organisation. Partner with stakeholders across Gallagher Re to understand data needs, influence decision making, and translate requirements into technical designs for the data platform. Collaborate closely with data engineering and architecture teams to deliver tangible outcomes. Exhibit exceptional stakeholder management, supported by excellent communication and facilitation skills. Perform data modelling and schema design in collaboration with data architects, data modellers, and subject matter experts. About You Previous experience in a data focused role such as Data Business Partner or Manager, Product Manager, Product Owner, Data Analyst, or Technical Business Analyst. Excellent understanding of modern data platform technologies, including: Data lakes and data warehouses (e.g., Snowflake, Azure Databricks, Azure Data Factory). ETL pipelines and enterprise data modelling. SQL and data profiling. Structured and unstructured datasets. Schema design and methods (e.g., YAML, XML). Data visualisation tools (e.g., Power BI or equivalent). Data quality, compliance, and standards (e.g., PII, GDPR, CCPA). Data management and data governance processes. Experience managing product backlogs and delivering data capabilities in agile environments. Fantastic data literacy with the ability to interpret, challenge, and translate business and technical requirements. Excellent communication and facilitation skills, with the ability to influence and build strong relationships. Passion for emerging data technologies, continuous improvement, and challenging existing approaches. Highly organised, with the ability to balance multiple priorities and deliver at pace. Compensation and Benefits On top of a competitive salary, great teams and exciting career opportunities, we also offer a wide range of benefits. Below are the minimum core benefits you'll get, depending on your job level these benefits may improve: Minimum of 25 days holiday, plus bank holidays, and the option to buy extra days. Defined contribution pension scheme, which Gallagher will also contribute to. Life insurance, which will pay 4x your basic annual salary, which you can top up to 10x. Income protection, we'll cover up to 50% of your annual income, with options to top up. Health cash plan or Private medical insurance. Other benefits include: Three fully paid volunteering days per year. Employee Stock Purchase plan, offering company shares at a discount. Share incentive plan, HMRC approved, tax effective, stock purchase plan. Critical illness cover. Discounted gym membership, with over 3,000 gyms nationally. Season ticket loan. Access to a discounted voucher portal to save money on your weekly shop or next big purchase. Emergency back up family care. And many more We value inclusion and diversity Inclusion and diversity is a core part of our business, and it's embedded into the fabric of our organisation. For more than 95 years, Gallagher has led with a commitment to sustainability and to support the communities where we live and work. Gallagher embraces our employees' diverse identities, experiences and talents, allowing us to better serve our clients and communities. We see inclusion as a conscious commitment and diversity as a vital strength. By embracing diversity in all its forms, we live out The Gallagher Way to its fullest. Gallagher is Disability Confident Committed. We have pledged to make sure our recruitment process is inclusive and accessible, in addition to supporting our existing employees with any long term health conditions or disabilities. We understand that applicants may have disabilities, if you do, you may find some parts of the recruitment process more challenging than others. Don't worry, we're here to help, however, we can only do this if you let us know. Should you require reasonable adjustments to your application, please get in touch with . If you'd prefer to speak on the phone, please request a call back, leaving details, so we get in touch. Our employing entity, Arthur J. Gallagher Services (UK) Limited, is proud to be accredited as a Living Wage employer with the Living Wage Foundation. We are committed to diversity and opportunity for all and are opposed to any form of less favourable treatment on the grounds of gender or gender identity, marital status, civil partnership status, parental status, race, ethnicity, colour, nationality, disability, sexual orientation, religion/ belief, age and those with caring responsibilities. Gallagher believes that all persons are entitled to equal employment opportunity and prohibits any form of discrimination by its managers, employees, vendors or customers based on race, color, religion, creed, gender (including pregnancy status), sexual orientation, gender identity (which includes transgender and other gender non conforming individuals), gender expression, hair expression, marital status, parental status, age, national origin, ancestry, disability, medical condition, genetic information, veteran or military status, citizenship status, or any other characteristic protected by applicable federal, state, or local laws. Equal employment opportunity will be extended in all aspects of the employer employee relationship, including, but not limited to, recruitment, hiring, training, promotion, transfer, demotion, compensation, benefits, layoff, and termination. In addition, Gallagher will make reasonable accommodations to known physical or mental limitations of an otherwise qualified person with a disability, unless the accommodation would impose an undue hardship on the operation of our business.

About Realty Income Realty Income (NYSE: O), an S&P 500 company, is a real estate partner to the world's leading companies. Founded in 1969, we invest in diversified commercial real estate and have a portfolio of 15,600 properties in all 50 U.S. states, the UK and six other countries in Europe, with a gross book value $58bn. We are known as The Monthly Dividend Company and have a mission to deliver stockholders dependable monthly dividends that grow over time. Since our founding, we have declared 656 consecutive monthly dividends and are a member of the S&P 500 Dividend Aristocrats index, having increased our dividend for the last 30 consecutive years. You will be joining one of the largest Real Estate Investment Trusts in the world as we rapidly expand into the UK and European markets, including moving into new offices at 3 St. James's Square. The European portfolio, including the UK, has grown significantly since our first international acquisition, a £429m 12-property portfolio from Sainsbury's in 2019. In just five years the portfolio now includes investments of over €11bn, and 483 distinct properties. Be a part of this growth story for a world leading Real Estate Investment Trust! Working in this global role you will contribute to the Info Sec team's expansion in Europe, empowering your career and allowing you to take on additional responsibility and challenges, whilst you broaden your experience and skillsets. Position Overview Reporting to the Associate Director, European IT and operating under the supervision of the global Information Security program, the Senior Information Security Analyst supports the day to day operations of the global Information Security program, with a focus on security alert triage, incident investigation, and operational effectiveness across the environment. This role is responsible for monitoring and responding to security alerts, performing assigned operational tasks, and optimizing security tooling to improve detection quality and reduce false positives. The position operates within a centralized global security function and collaborates across regions to ensure consistent handling of security incidents. The Senior Information Security Analyst contributes to the continuous improvement of information security processes and procedures, supporting compliance activities aligned with frameworks and standards such as the NIST Cybersecurity Framework, GDPR and SOX. Key Responsibilities Monitor, triage, and investigate security alerts in coordination with the Security Operations Center (SOC) and internal teams. Analyze and validate potential security incidents, ensuring accurate classification, documentation, and escalation. Perform daily operational information security tasks, including the management and resolution of ServiceNow incidents assigned to the Information Security team. Support incident response efforts through investigation, coordination, and detailed documentation of findings. Participate occasionally in an on call rotation as required to support timely response and escalation of security incidents outside of business hours, ensuring appropriate handover, documentation, and continuity of incident management. Tune and optimize security tools, including SIEM and endpoint protection platforms, to improve alert fidelity and reduce false positives. Collaborate with internal technology teams to ensure appropriate logging, monitoring, and alerting capabilities are in place across systems. Work closely with the IT Service Desk, Operations, and development teams to support vulnerability identification and ensure remediation is prioritised and delivered within agreed SLAs. Work closely with global and regional stakeholders to support consistent security operations and incident handling across time zones. Support security awareness initiatives through participation in training, workshops, and knowledge sharing activities. Partner with the global Information Security team to review, streamline, and develop security processes, procedures, and incident response playbooks, while maintaining accurate, current documentation aligned with approved standards. Promote a culture of security across the organization through engagement and collaboration. Performs other duties as assigned. Candidate Requirements Knowledge, Skills, and Abilities Must have for the role: Suitable experience in an Information Security role. Some previous relevant experience in a technical IT role (System Administration/Network Administration/DevOps). While we do not set upper or lower limits of experience for any of our vacancies, candidates with at least 4 - 8 years' suitable experience are likely to have the right level of knowledge and experience. Combination of education, training, experience, skills and other characteristics that would provide the requisite knowledge and abilities in support of the essential job functions. Must have Cybersecurity certification(s) (CISSP, Sec+, CCSP, CEH) or equivalent. Knowledge of security frameworks and regulatory compliance standards (NIST CSF, SOX ITGC, GDPR, etc.). Working technical knowledge and hands on experience securing enterprise IT environments within predominantly Windows based and cloud hosted ecosystems, with experience applying Zero Trust security principles across identity, endpoint, and access domains. Demonstrated experience in incident response, threat detection, vulnerability management, and securing workloads operating at enterprise scale. Strong ability to analyze, prioritize, and respond to security alerts and vulnerabilities within the context of business operations and risk tolerance. Experience with incident response processes and best practices, including investigation, escalation, and documentation. Knowledge of cloud security principles, particularly within Microsoft Azure environments. Strong written and verbal communication skills include the ability to clearly document findings and risks to technical and non technical stakeholders. Demonstrate commitment to continuous learning, staying current with emerging threats, technologies and industry trends. Hybrid working arrangements, in the office Monday / Tuesday / Wednesday / Thursday. May require infrequent travel to remote sites. Make yourself available outside of normal working hours for security incidents. Desirable but not essential: Experience working in the financial services or investment industries. Bachelor's degree in information security or related field or equivalent combination of education and experience. This role is subject to enhanced compliance and disclosure requirements comparable with those of a regulated financial services organization, including conflict of interest disclosures and personal trading policies. Our Mission & Values For more than 50 years, Realty Income has been guided by our mission to invest in people and places to deliver dependable monthly dividends that increase over time. We do this by nurturing long term, meaningful relationships that enable people to achieve a better financial outlook. We understand that when individuals succeed financially, they are able to provide for their families, support local businesses and pursue their greatest ambitions-creating a lasting positive impact on communities. Realty Income is committed to diversity and inclusion and welcomes all applicants regardless of age, disability, gender reassignment, marriage and civil partnership, pregnancy and maternity, race, religion or belief, sex, sexual orientation or educational background.