60 jobs found

End Date Thursday 06 August 2026 Salary Range £36,224 - £38,130 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share Job Description Summary This is a full time role based in Edinburgh, Bristol, Leeds or Manchester Job Description JOB TITLE: Data Engineer - Compliance Engineering SALARY: £36,224 LOCATION(S): Edinburgh, Bristol, Leeds or Manchester HOURS: Full-time - 35 hours a week - Monday to Friday WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites. About this Opportunity As a Data Engineer you'll focus on assisting in the design, development, and maintenance of Data Product pipelines, gaining practical experience whilst working under the guidance of senior data engineers. About the Role We're transforming how security and compliance are engineered across Lloyds Banking Group-leveraging data, automation and modern architectures to protect our customers at scale. Within the Chief Security Office, the Security Data & AI Lab is building next-generation monitoring and compliance capabilities that move beyond traditional controls towards continuous assurance driven by data insights. As a Data Engineer, you'll join a growing engineering team contributing to the development of regulatory security monitoring solutions. This is an excellent opportunity to build your skills at the intersection of security, data and modern engineering practices, working on real-world challenges at enterprise scale. What You'll Be Doing Support the development and improvement of regulatory security monitoring and compliance capabilities, helping ensure controls are effective and scalable. Contribute to security telemetry and monitoring solutions (including database activity monitoring) to support detection and regulatory requirements. Assist in developing data ingestion pipelines and monitoring use cases, working with structured and unstructured data sources. Support the automation of control monitoring and evidencing, helping enable continuous compliance. Work closely with engineers and security specialists to deliver reliable and high-quality services. Learn and apply modern engineering practices such as automation, testing and version control. Develop and maintain user documentation to support team collaboration. Continuously develop your knowledge of security, data engineering and compliance tooling. Why Lloyds Banking Group We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. Including you. What you'll need A foundational understanding of technology, data or security concepts. Interest in security monitoring, logging or compliance. A willingness to learn about data pipelines, automation and modern engineering approaches. Strong problem-solving skills and a structured approach to learning. Good communication skills and the ability to work collaboratively within a team. Exposure to scripting or programming (e.g. Python, SQL or similar). Desirable Skills & Experience Awareness of cloud platforms (e.g. AWS, Azure, GCP). At least 1 years' experience of working with security concepts or regulatory monitoring controls. Exposure to Agile or collaborative ways of working. Interest in how automation and AI can be applied to improve security and compliance. About working for us Our focus is to ensure we're inclusive every day, building an organisation that reflects modern society and celebrates diversity in all its forms. We want our people to feel that they belong and can be their best, regardless of background, identity or culture. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer initiative. And it's why we especially welcome applications from under-represented groups. We're disability confident. So if you'd like reasonable adjustments to be made to our recruitment processes, just let us know. We also offer a wide-ranging benefits package, which includes A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 24 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Organizational background At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future. Flexible Working Options For more Flexible Working Options please use the free text search, e.g. job sharing, variable hours, to identify relevant matches.

Moneycorp Bank Limited is seeking a Data Engineer to enable Finance & Treasury with scalable data solutions and modern data capabilities. You will engineer data pipelines on the Microsoft Fabric platform, build robust datasets, and support transformation and automation across Finance systems. You will design SQL structures, develop Power BI models, and ensure data security and governance within a hybrid role based in London.

Job Title: Lead AI Engineer Division: Data, Technology and Innovation Department: AI Product Delivery Salary: National (Edinburgh and Leeds) ranging from £72,100 to £108,000 and London from £79,300 to £120,000 per annum (salary offered will be based on skills and experience) This role is graded as: Technical Specialist - Regulatory Your external recruitment contact is Benjamin via . Your internal recruitment contact is Lauren via About the FCA and team We regulate financial services firms in the UK, to keep financial markets fair, thriving and effective. By joining us, you'll play a key part in protecting consumers, driving economic growth, and shaping the future of UK finance services. The Data, Technology and Innovation (DTI) division enables the FCA to be a digital-first, data-led smart regulator by delivering a secure, agile, and cost-effective technology and data ecosystem that drives better decisions, transparency, and operational efficiency. Working alongside the wider AI Programme (which will continue to oversee/coordinate AI activity across the FCA), the department will partner with business leads to shape and deliver work in priority areas - Authorisations, SPC, EMO and Anti Money Laundering. Role responsibilities Standardise and advance reusable AI solution patterns and reference architectures, improving cross-team consistency and delivery quality to enable more reliable and scalable product development Establish end-to-end technical architectures for LLM-enabled systems, covering data pipelines, retrieval/RAG, prompt orchestration and agent workflows to support robust and effective AI implementation Analyse complex constraints across product, data, security, legal and operations, translating them into clear standards and recommendations to enable delivery of highly complex AI solutions Enhance CI/CD pipelines for AI systems, introducing automation, traceability and controlled release processes to ensure safe and repeatable deployments. Define monitoring, observability and operational strategies, improving visibility across quality, performance, safety, cost and reliability to support effective issue diagnosis and resolution Set standards for prompt engineering, evaluation and testing, enhancing solution quality and behavioural consistency to support teams in resolving complex model challenges Advance digital and data-driven methods by shaping organisational practices and innovation efforts that produce measurable improvements in performance and efficiency Collaborate with senior stakeholders to deliver analytics-led solutions, addressing regulatory challenges and generating organisational impact to contribute to improved decision-making and long-term economic outcomes Skills required Minimum: Extensive backend engineering experience building production services such as APIs and microservices with solid software engineering fundamentals combined with experience developing technical architecture and designs and taking them through enterprise review processes Experience delivering cloud solutions on AWS including deploying, operating and troubleshooting services in live environments Working knowledge of modern DevOps practices such as CI/CD, containerisation and monitoring with experience collaborating with engineers to deliver iteratively Essential: Solid backend engineering experience, with experience designing, building and running reliable services in production (performance, resilience and security) Direct experience building and operating solutions on AWS, including AWS AI services and the supporting platform services required for production delivery AI engineering experience delivering LLM-enabled systems using LLM APIs/Bedrock, including RAG architectures, vector databases and orchestration frameworks DevOps skills including CI/CD pipelines, containerisation and monitoring/observability, with experience defining release and operating practices for AI services Experience Leading Engineering teams: providing technical guidance, aligning on standards/patterns, and adapting plans to resolve delivery and operational challenges Demonstrable capability in prompt design and in setting evaluation/testing approaches for LLM solutions (quality, safety/guardrails and performance), including defining measurable success criteria Benefits 28 days annual leave plus bank holidays Hybrid model where employees work a minimum of 40% in the office each month (expectation of50% for senior leaders). Changing from September toa minimum of 50% in the office each month (expectation of60% for Directors andExecutive Directors) Non-contributory pension (8-12% depending on age) and life assurance at eight times your salary Private healthcare with Bupa, income protection, and 24/7 Employee Assistance 35 hours of paid volunteering annually A flexible benefits scheme designed around your lifestyle For a full list of our benefits, and our recruitment process as a whole visit our benefits page. Our values & culture Our colleagues are the key to our success as a regulator. We are committed to fostering a diverse and inclusive culture: one that's free from discrimination and bias, celebrates difference, and supports colleagues to deliver at their best. We believe that our differences and similarities enable us to be a better organisation - one that makes better decisions, drives innovation, and delivers better regulation. If you require any adjustments due to a disability or condition, your recruiter is here to help - reach out for tailored support. We welcome diverse working styles and aim to find flexible solutions that suit both the role and individual needs, including options like part-time and job sharing where applicable. Disability Confident: our hiring approach We're proud to be a Disability Confident Employer, and therefore, people or individuals with disabilities and long-term conditions who best meet the minimum criteria for a role will go through to the next stage of the recruitment process. In cases of high application volumes, we may progress applicants whose experience most closely matches the role's key requirements. Useful information and timeline Advert Closing: 02/08/26 CV Review/Shortlist: 03/08/26 Interviews W/C: 10/08/26 Your Recruiter will discuss the process in detail with you during screening for the role, therefore, please make them aware if you are going to be unavailable for any date during this time. At the FCA, we're creating a fair and more resilient financial system. We're establishing more transparent relationships between financial services and their customers, building trust in financial markets and protecting vulnerable consumers. Click here to learn more about the FCA.

Overview The Data Engineer plays a critical role in enabling Finance & Treasury to deliver accurate, timely, and insight-driven reporting by building scalable data solutions, maintaining core data infrastructure, and supporting the modernisation of Finance systems. This role is responsible for engineering robust data pipelines, managing datasets across the Microsoft Fabric platform, and ensuring Finance has reliable, consistent, and governed data to support transformation, automation, and improved operational efficiency. As Finance undergoes significant change, the Data Engineer will be a key technical contributor-helping shape new ways of working, supporting system enhancements, and ensuring Finance is equipped with modern, resilient data capabilities. Role Responsibilities Design, develop, and maintain SQL data structures within Microsoft Fabric, writing efficient SQL queries and Python-based transformations to support scalable data pipelines and optimise performance across Lakehouse and Warehouse workloads. Build and maintain reporting datasets optimised for analytics and visualisation, implementing Slowly Changing Dimension (SCD Type 2) logic to support historical reporting and data accuracy. Ensure data security and integrity throughout the medallion architecture, enforcing access controls, auditing data changes, and ensuring accurate, consistent data is delivered Develop and maintain Power BI semantic models and model layouts built on Microsoft Fabric Gold-layer datasets, ensuring secure, performant, and well-governed reporting models for dashboards and analytical consumption. Support the onboarding of new data sources into Microsoft Fabric by working with DevOps teams on secure connectivity, API integrations, and operational ingestion processes. Design and develop data pipelines and queries, for efficient data extraction and transformation. Write and maintain production-level code to support lead management and Finance systems, ensuring scalability, performance, and reliability. Development and maintenance of complex datasets needed for reports, dashboards, and visualisations. Troubleshoot database-related issues. Monitor and optimize database performance, identifying and resolving bottlenecks and inefficiencies. Conduct regular reviews of SQL code and queries for performance improvements Ensure data security and integrity. Stay updated with the latest database technologies and best practices. Data Warehouse Implement best practices for data modelling, ETL processes, and data integration. Optimise data warehouse performance through efficient query design, indexing strategies, and data partitioning. Stay updated on emerging trends and technologies in data management and analytics and evaluate their potential impact on our data warehouse architecture. Finance System Infrastructure Support configuration changes as needed to meet Finance & Business requirements. Take ownership of upgrade processes including testing and configuration changes, ensuring the current system is fit for purpose for Finance users. Facilitating with the implementation of the new functionality arising from the upgraded software. Qualifications Essential Extensive SQL experience: Working with relational databases (e.g., SQL Server, Oracle, MySQL). Strong proficiency in SQL, T-SQL and SparkSQL. Proven background as a SQL Analyst / Developer or Data Engineer. Experience working with structured and unstructured data sources. Experience writing stored procedures and production-level data transformation code. Previous experience of working in a fast-paced environment Knowledge of software development best practices. Strong analytical mind, excellent attention to detail. Good interpersonal and communication skills both written and verbal. Good analytical abilities, with an enquiring mind. Robust, capable of clearly and strongly articulating position. Desirable Hands-on experience with Microsoft Fabric. Advanced development experience, most notably with programming languages such as python. Power BI model development and semantic modelling. API setup/testing experience (e.g., Postman). Experience with cloud platforms and modern data architectures. Experience within financial services or regulated environments. Advanced Excel skills. Education Bachelor's degree in Computer Science, Information Systems, STEM, or related field. Certifications in Python, PySpark, or cloud technologies are desirable but not essential. Employment Terms This is a full-time, fixed term contract with an opportunity to work in a hybrid working model within our Finance Transformation team based in our London office. Benefits This role offers a competitive salary, plus a benefits package including private medical health insurance. Equal Opportunity Employment Statement Moneycorp is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to age, colour, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, political affiliation, status as an individual with a physical or mental disability status as an individual with a protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. Moneycorp believes that diversity is critical to our success in helping Corporate and Private Clients with their FX and International Payments requirements across the world and is committed to creating an inclusive, mutually respectful environment which celebrates diversity. We hire on the basis of talent, merit, competence, performance, and business needs.

Who we are United by a sense of purpose towards our customers - to be a trusted partner for the long term - and our universal banking platform in EMEA, SMBC Group has an international growth agenda and award winning products, meaning we provide exciting opportunities to work on a diverse range of projects and initiatives. We deliver a full suite of corporate finance products and solutions to our customers as well as investment banking and advisory services, and a range of innovative solutions in global capital markets. Read on to find out how you could enhance your skills and gain valuable experience, by joining us to support our clients transition to a sustainable future. Role Summary Is the next step in your career at SMBC Group EMEA? We're looking for a Credit Systematic Trading Developer (Director) for our Global Markets Department, Credit Group to join our team. Role for to design and build the end to end credit trading platform for corporate bonds across Investment Grade (IG), High Yield (HY), and Emerging Markets (EM). The role will work closely with the traders to develop pricing, risk, and PnL services, FIX connectivity (MarketAxess / Tradeweb / Bloomberg), RFQ automation, model pipelines, and real time analytics. The ideal candidate is proficient in Python, Java, distributed systems, quantitative/statistical methods, CI/CD, observability, and real time UI development. Experience with credit market data (TRACE, CS01/DV01), Kafka/KDB+, and AWS/Kubernetes is a plus. ESSENTIALS OF THE ROLE Experience to lead the development and delivery of credit pricing and trading platform Strong technical and quantitative skills Understanding of credit market structure and pricing methodologies CANDIDATE REQUIREMENTS 7+ years of building electronic trading systems, preferably credit Strong Java and Python programming skills Quantitative and statistical skills to do time series analysis, TCA and generate trading signals Position Description The candidate will design and build core credit trading infrastructure, including pricing & quoting engines, real time market monitoring tools and analytics. They should have experience of FIX protocol to build market connectivity. Good understanding of credit market data and its usage on the trading desk to help productionise quantitative research and produce libraries, portfolio construction, back testing frameworks and model deployment. They should be comfortable with developing high throughput data components and using time series storage like KDB+ What we are looking for 7+ years building components for systematic or electronic trading systems (credit preferred) Strong programming skills: Java for low latency services, concurrency, messaging Python for research, analytics, data processing FIX protocol experience Front end engineering: JavaScript / TypeScript React real time dashboards (REST / WebSocket) Modern UI state management Distributed systems: Kafka / Chronicle PostgreSQL / KDB Caching strategies Avro / Protobuf DevOps: Linux Docker / Kubernetes CI/CD (GitHub Actions / Jenkins) Infrastructure as Code Competencies Customer Focus Driving Change Driving Results Embraces Diversity Enterprise Leadership Judgement and Decision Making Risk Management Strategic and Visionary Trust and Integrity What we offer For all the expertise and experience you bring to help us make a difference, it's only sustainable if we support you to build your career and be your best self so we offer competitive company benefits, centred around promoting positive wellbeing and work life balance. We also believe in fostering a diverse and inclusive work environment, where all team members perspectives and contributions are valued. Initiatives in place which promote a diverse and inclusive culture and healthy work life balance include hybrid working, Sport & Social Clubs and Diversity and Inclusion networks. As an employee of SMBC you have access to a host of both useful and exciting benefit offerings. Some of the benefits on offer to you include: Hybrid and flexible working Competitive paid leave days Benefits to support your physical wellbeing, including private medical insurance and life and invalidity insurance Various policies to support your mental wellbeing, including a robust behavioural health network with counselling and coaching services Access a wide range of learning and development opportunities and career progression opportunities Ambitious remuneration package

Intermediate Data Engineer Department: Insurance Retail Employment Type: Permanent - Full Time Location: North West UK - Hybrid Compensation: £40,000 - £45,000 / year Description We're seeking an Intermediate Data Engineer to join our Insurance Retail department, supporting development squads with reliable, automated and cloud-ready data solutions. This role is suited to someone who can combine strong SQL, scripting and AWS experience with modern DevOps practices to build, maintain and improve data pipelines, data services and supporting infrastructure. AI is a key part of the role. You will be expected to use AI-assisted engineering tools responsibly to accelerate development, improve documentation, support analysis and identify opportunities to automate repeatable data engineering and operational tasks. Working closely with engineers, analysts, architects and stakeholders, you will help turn data requirements into maintainable, observable and secure solutions. You will maintain awareness of industry and technology developments, contribute to technical discussions, and support continuous improvement across data engineering, automation and operational practices. The role includes ownership of work throughout its lifecycle, from development and testing through to production support, incident resolution, continuous improvement and knowledge sharing across the department. About CDL CDL is one of the UK's leading software development houses, employing over 600 people at its campus in Stockport. It has a consistent history in the high-volume retail insurance sector. CDL has spearheaded developments in the aggregator, web and telematics space, including connected home, enrichment and self-service solutions. As a result, the company's robust and innovative technologies have enabled its customers to thrive in the highly competitive UK insurance marketplace. We have built a collaborative and creative culture,leveraging AI-driven solutions to enhance our products, processes and decision-making.We pride ourselves on cultivating an inspiring working environment with our employees at the heart of our company. In a nutshell we are the market leading software house in our industry, creating the software, websites & apps for the Insurance & Finance sector across the UK. If you were to go on a price comparison website, approximately 65% of the companies on there are our clients! What You'll Do Building, testing, monitoring and maintaining data pipelines and infrastructure to support the Data Platform using best practices including CI/CD, IaC and DevOps. Apply security best practices across data pipelines, cloud infrastructure and operational processes, ensuring data is protected through appropriate access controls, encryption, monitoring and secure engineering practices Use AWS services and PostgreSQL/AWS RDS knowledge to design, deliver and support scalable, reliable and secure data solutions, ensuring appropriate governance, resilience and protection of business data. Actively embrace AI-assisted engineering practices and demonstrate a willingness to learn, experiment with and responsibly adopt emerging AI tools such as Kiro, GitHub Copilot or equivalent technologies to improve delivery flow, quality, documentation, analysis and operational efficiency. Develop and maintain automated deployment, testing and operational workflows using GitLab pipelines, version control, Terraform/OpenTofu and scripting. Contribute to data quality, lineage, governance and observability practices to ensure data is trusted, traceable, secure and supportable throughout its lifecycle. Investigate data quality, platform reliability, pipeline performance and operational issues, identifying practical improvements, preventative actions and automation opportunities that enable squads to move faster and more safely. Working with business stakeholders, analysts and architects to understand business and technical requirements, designing data models and data structures that support reporting, analytics and operational use cases. Contribute to database and data platform activities such as upgrades, data migrations, schema updates and platform modernisation initiatives. Documenting processes and products, sharing knowledge across the squad and wider business, and supporting the development of less experienced engineers through mentoring, pairing or technical guidance where appropriate. Contribute significantly to small-to-medium feature deliveries and multi-person initiatives, collaborating with engineers and stakeholders to deliver reliable outcomes. About You Hold, or be willing to obtain, a relevant AWS certification that can be registered against the CDL APN. Proven experience working with AWS services relevant to data engineering and operational support, such as RDS, S3, Lambda, ECS, EC2, VPC, CloudWatch and related services. Experience with MySql and Oracle databases would be advantageous. Strong SQL skills, including PostgreSQL experience, query optimisation awareness and the ability to investigate data or performance issues. Good understanding of security principles including least-privilege access, encryption, secrets management, vulnerability remediation and secure handling of sensitive data. Experience with CI/CD pipelines, automated testing and deployment practices using GitLab or similar tooling. Experience with Infrastructure as Code tools such as Terraform, OpenTofu or CloudFormation. Good understanding of version control workflows, branching strategies and GitLab best practice. Experience of, or a strong willingness to learn, AI-assisted engineering tools such as Kiro, GitHub Copilot or similar technologies to improve engineering effectiveness and delivery outcomes. Familiarity with observability and troubleshooting tooling such as Dynatrace, OpenSearch/Elasticsearch or CloudWatch logs. Ability to communicate clearly, analyse problems, work collaboratively and explain technical concepts to both technical and non-technical stakeholders. Familiarity with Agile methodologies and operational tooling such as Jira and ServiceNow. What You'll Get Salary The salary for the role of Intermediate Data Engineer pays up to £45,000p.a. (Level 4) providing a fantastic opportunity for career progression through CDL's clearly defined career framework Your growth and advancement within CDL are only limited by your own ambition and effort. Benefits Hybrid Working (2 Days a Week in the office - SK4 2HD) Flexible working. 25 days holiday to start, increasing by 1 day per 1 year of service up to 30 days. Top employer for 10th year running Excellent training and development platform Opportunities for career progression Health and Wellbeing Programme Virtual activities, lunch and learns, coffee mornings and meetups. Life and health assurance Electric Vehicle Scheme Established Recognition Award System Great Parental Benefits Diversity and Inclusion network Pension scheme Community projects and volunteer days Refer a friend bonus Campus Benefits: On-site free parking Open plan modern offices Quiet Spaces are also available Shuttle bus to and from the station Subsidised restaurant Games room, pool & table-tennis tables and chill out zone Annual Hackathon & Deep Racer Events Social activities, regular social events through our social group Xtra, including a summer BBQ, competitions, bowling, go-karting, football games, Winter party and much more! Car wash, barber, yoga classes, boot camp and massage services all on site Cycle to work scheme Shower and dry rooms Diversity and inclusion: We're on a journey to keep innovating, that means welcoming new ideas and ways of thinking. CDL recognises that building a diverse workforce is critical to the success of our business. We strongly encourage applications from a diverse talent pool and welcome the opportunity to discuss flexibility requirements and workplace adjustments with all our applicants.

Job Details End Date Wednesday 05 August 2026 Salary Range £72,702 - £80,780 We support flexible working - click here for more information on flexible working options Flexible Working Options Hybrid Working, Job Share JOB TITLE: Senior DevOps Engineer PAY RANGE: £72,702 - £80,780 LOCATION: Newport and Cardiff HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at our Newport or Cardiff office sites. What you'll be doing Are you ready to join our Transport Platform team and help shape the next phase of our transformation? Part of the Consumer Lending Business Unit, our mission is to keep Britain moving by delivering customer-focused solutions for vehicle access, maintenance and digital account management, while supporting the UK's sustainability agenda. We're transforming our core technology through modern, cloud-native architecture, microservices and a new data ecosystem, alongside embedding DevOps and Agile ways of working to increase team autonomy and impact. As a Senior DevOps Engineer, you'll work within a feature team to design, build and integrate software, partnering with Engineering Leads, Product Owners and Quality Engineers to deliver high-quality outcomes. This is a hands on role, focused on developing and supporting production grade code, with an emphasis on scalable, reusable solutions. You'll also ensure enterprise level controls such as parallelism, resilience and cost optimisation across the services you build and operate. Feel motivated by the opportunity to make a lasting positive impact Contribute to the delivery of secure, scalable, and high quality DevOps capabilities across cloud native platforms. You'll work closely with colleagues to drive outcomes and support team autonomy. Design, build, and operate CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. You'll help teams across the platform deploy confidently and independently. Engineer Kubernetes native solutions across Public and Private Cloud environments, including workload orchestration, Istio based networking, and storage class management. You'll play a key role in ensuring platform resilience and scalability. Embed security and compliance into automated workflows by integrating tools such as SonarQube and AquaSec. You'll contribute to strong guardrails and quality first engineering practices. Automate manual processes and supporting the development of self service capabilities across teams. You'll promote an automation first approach and reduce operational overhead through robust pipeline and platform engineering. Work effectively with a range of collaborators across complex platforms, communicating clearly with both technical and non technical audiences. Contribute to team planning and supporting the evolution of DevOps capabilities to meet future business needs. Help to foster a culture of enablement, where DevOps capabilities are federated and teams can own and operate their delivery pipelines. Share knowledge and collaborate within Communities of Practice, supporting continuous improvement through hands on learning and experimentation. Why join us We're transforming at pace. Investing billions in our people, data and tech to change the way we meet the needs of our 28 million customers. We're growing, and we'd love you to be part of the journey. What we're looking for Experience delivering secure, scalable, and high quality DevOps capabilities on cloud native platforms as part of a multi functional engineering team. Experience designing, building, and maintaining CI/CD pipelines using tools such as Harness, Jenkins, GitHub, and Terraform, including federation patterns such as overrides and config maps. Background in Engineering Kubernetes native solutions in GCP environments, covering workload orchestration, Istio based networking, and storage class management. Experience working with GCP platform services, including databases such as Spanner, BigQuery, and AlloyDB/CloudSQL, as well as GCS buckets and IAM permissions and controls. Experience Integrating security and quality tools such as SonarQube and AquaSec into automated pipelines to ensure compliance and maintain strong guardrails. Background in automating manual processes to improve efficiency and enable self service capabilities, applying an automation first approach. Experience working with multiple collaborators across complex platforms and communicating effectively across technical and non technical groups. Experience with Liquibase for database schema management and familiarity with Nexus Repository for artefact management (advantageous). Exposure to observability platforms such as Dynatrace (advantageous). Experience supporting teams in investigating issues and contributing to remediation plans as part of root cause analysis after high impact incidents (desirable). We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you Our ambition is to be the leading UK business for diversity, equity and inclusion supporting our customers, colleagues and communities and we're committed to creating an environment in which everyone can thrive, learn and develop. We were one of the first major organisations to set goals on diversity in senior roles, create a menopause health package, and a dedicated Working with Cancer Initiative. We offer reasonable workplace adjustments for colleagues with disabilities, including flexibility in office attendance, location and working patterns. And, as a Disability Confident Leader, we guarantee interviews for a fair and proportionate number of applicants who meet the minimum criteria for the role with a disability, long term health or neuro divergent condition through the Disability Confident Scheme. We provide reasonable adjustments throughout the recruitment process to reduce or remove barriers. Just let us know what you need. Benefits A generous pension contribution of up to 15% An annual performance related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference. With 320 years under our belt, we're used to change, and today is no different. Join us and help drive this change, shaping the future of finance whilst working at pace to deliver for our customers. Here, you'll do the best work of your career. Your impact will be amplified by our scale as you learn and develop, gaining skills for the future.

End Date Thursday 06 August 2026 Salary Range £72,702 - £80,780 We support flexible working - Flexible Working Options Hybrid Working, Job Share Job Details JOB TITLE: Senior Technical Application Specialist - Secrets Management SALARY: £72,702-£88,858 LOCATION(S): Leeds, Manchester, Edinburgh, Bristol HOURS: Full-time WORKING PATTERN: Our work style is hybrid, which involves spending at least two days per week, or 40% of our time, at one of our office sites Job Description Lloyds Banking Group's strategy is to Grow, Focus and Change to help Britain prosper. The Chief Security Office (CSO) provides security services that protect customer data, enable secure access to systems and services, and ensure regulatory compliance across the Group. The Cryptography Lab is evolving how security services are engineered, operated and consumed. This role plays a central part in crafting a modern approach focused on collaboration and automation within the Secrets Management team. It emphasises automation, shift-left security practices, and improving how secure secrets are delivered and consumed across the engineering community. We are looking for a senior technical specialist who improves existing platforms and processes while helping shape the technical culture, engineering standards and ways of working within the team. About this opportunity We're looking for a Senior Technical Application Specialist to take ownership of Secrets management and cryptography services, with a focus on platform engineering and DevOps practices. The role is centred on the need for building and operating secure, scalable and automated services that are easy for engineering teams to consume. What you'll be doing: Design, build and operate enterprise Secrets Management services. Develop self-service capabilities that enable secure management and consumption of secrets. Implement automation using CI/CD pipelines and Infrastructure as Code. Design and support integration patterns for applications consuming Secrets Management services. Enable adoption through automation, APIs and standard integration patterns. Contribute to service protection, incident response, problem management and continuous improvement. Why join us? We're on an exciting journey to transform our Group and the way we're shaping finance for good. We're focusing on the future, investing in our technologies, workplaces, and colleagues to make our Group a great place for everyone. What we're looking for: Hands-on experience with HashiCorp Vault or comparable Secrets Management technologies. Strong understanding of secrets lifecycle management, including creation, rotation, revocation and governance. Experience designing and operating security-critical enterprise platforms. Strong automation skills using CI/CD pipelines and Infrastructure as Code (Terraform preferred). And any of these would be great: Kubernetes and cloud-native platforms. Monitoring, observability and service reliability practices. Internal developer platforms and self-service onboarding. We know that great talent comes from many backgrounds. Whilst this job advert may reference specific years of experience, we recognise that skills are developed in many ways, so if you have relevant, transferable experience, we encourage you to apply. This is a place for you We want to ensure all our candidates have the opportunity to shine. Please let us know if there is anything we can do to make the assessment process works for you. Benefits A generous pension contribution of up to 15% An annual performance-related bonus Share schemes including free shares Benefits you can adapt to your lifestyle, such as discounted shopping 30 days' holiday, with bank holidays on top A range of wellbeing initiatives and generous parental leave policies Additional Information At Lloyds Banking Group, we're driven by a clear purpose; to help Britain prosper. Across the Group, our colleagues are focused on making a difference to customers, businesses and communities. With us you'll have a key role to play in shaping the financial services of the future, whilst the scale and reach of our Group means you'll have many opportunities to learn, grow and develop. We keep your data safe. So, we'll only ever ask you to provide confidential or sensitive information once you have formally been invited along to an interview or accepted a verbal offer to join us which is when we run our background checks. We'll always explain what we need and why, with any request coming from a trusted Lloyds Banking Group person. We're focused on creating a values-led culture and are committed to building a workforce which reflects the diversity of the customers and communities we serve. Together we're building a truly inclusive workplace where all of our colleagues have the opportunity to make a real difference.

Job Description About Persistent: We are an AI-led, platform-driven Digital Engineering and Enterprise Modernization partner, combining deep technical expertise and industry experience to help our clients anticipate what's next. Our offerings and proven solutions create a unique competitive advantage for our clients by giving them the power to see beyond and rise above. We work with many industry-leading organizations across the world, including 20 Fortune 50 companies and 4 of the 5 top banks in both the US and India, and numerous innovators across the healthcare ecosystem. Our disruptor's mindset, commitment to client success, and agility to thrive in the dynamic environment have enabled us to sustain our growth momentum. Persistent has been recognized across top industry platforms for innovation, leadership, and inclusion. We have delivered 21 sequential quarters of growth with $389.7M in Q1 FY26 revenue, up 3.9% Q-o-Q and 18.8% Y-o-Y growth. Our 25,000+ global team members, located in 18 countries, have been instrumental in helping the market leaders transform their industries. We have been named the fastest-growing Indian IT services brand in the "Brand Finance India 100" 2025 report. We were also cited as a Leader in the ISG Provider Lens 2025 for Digital Engineering Services 2025 and the Everest Group Talent Readiness for Next-generation Application Services PEAK Matrix Assessment 2025. We are fast growing company (with $1 billion dollars in revenue). Plan to grow at Krakow, Poland. If you're interested in working on bleeding Data and AI technologies, join us. Read more - About Position and details: Role: Test Automation Engineer (Java) Location: Northampton Mode: Hybrid Experience: 10 to 15 years Job Type: Permanent role Job Description: Test Automation Engineer (Java) Purpose of the Role The Test Automation Engineer will be responsible for designing, developing, and maintaining robust automated test solutions to ensure the quality, performance, and reliability of complex banking applications. The role supports digital transformation by embedding quality early in the SDLC through test automation, API & UI validation, TDD practices, and scaled agile delivery models. The position plays a critical role in reducing risk, improving release confidence, and enabling continuous delivery across enterprise platforms. Basic / Essential Qualifications 10+ years of experience in software testing and test automation Extensive experience in banking or regulated enterprise environments Strong understanding of automation frameworks and test design patterns Experience working with cross functional teams and distributed delivery models Key Responsibilities / Accountabilities Design, implement, and maintain automated test frameworks for UI and API services Develop and execute automated test scripts using Playwright, Selenium, Cypress, and Cucumber Perform comprehensive API testing (REST services) including functional, contract, and regression testing Embed Test Driven Development (TDD) and Behavior Driven Development (BDD) practices within teams Collaborate with developers, product owners, and architects to validate requirements and acceptance criteria Integrate automated tests into CI/CD pipelines to enable continuous testing Identify, log, track, and manage defects using JIRA, ensuring adherence to defect management processes Participate actively in scaled agile ceremonies (PI planning, sprint planning, retrospectives) Ensure compliance with quality, security, and regulatory standards Mentor junior automation engineers and contribute to automation best practices Drive test strategy, test coverage improvement, and quality metrics reporting Key Skills & Competencies Technical Skills Strong expertise in API & UI test automation Hands on experience with: Playwright, Selenium, Cypress, Cucumber (BDD) Strong understanding of TDD principles and automation-first mindset Experience validating REST APIs, JSON payloads, and HTTP protocols. Knowledge of CI/CD tools and automated test execution pipelines Agile & Process Skills Proven experience working in Scaled Agile frameworks (SAFe / enterprise agile) Proficient in JIRA and end to end defect lifecycle management Strong understanding of SDLC, STLC, and quality gates Experience Required 10+ years of experience in software testing with a strong focus on automation Minimum 5+ years hands on experience with API & UI automation Proven experience using Playwright, Selenium, Cypress, and Cucumber Strong exposure to TDD and BDD driven delivery Solid experience working in scaled agile environments Enterprise level experience with JIRA defect tracking and reporting. Benefits Competitive salary and benefits package Culture focused on talent development with quarterly promotion cycles and company-sponsored higher education and certifications. Opportunity to work with cutting-edge technologies. Employee engagement initiatives such as project parties, flexible work hours, and Long Service awards Annual health check-ups Insurance coverage: group term life, personal accident, and Mediclaim hospitalization for self, spouse, two children, and parents Let's unleash your full potential at Persistent - "Persistent is an Equal Opportunity Employer and prohibits discrimination and harassment of any kind."

About The Role FDM is a global business and technology consultancy seeking a Site Reliability Engineer to work for our client within the Finance sector. This is initially a 6 month contract with very good prospects to extend and will be a hybrid role that will be based in London. Our client is seeking an experienced Site Reliability Engineer (SRE) with a strong focus on Observability and Monitoring Platforms. The successful candidate will play a key role in enhancing the organisation's monitoring, alerting, and operational visibility capabilities across critical engineering systems.This role requires hands-on expertise in the deployment, administration, and optimisation of OpenSearch, alongside experience with Grafana, Geneos, and automation/scripting technologies. Particular emphasis will be placed on the candidate's ability to design, deploy, and support enterprise-grade OpenSearch environments. Responsibilities Lead the design, deployment, configuration, and ongoing management of OpenSearch clusters and associated observability tooling. Develop and maintain scalable monitoring, logging, and alerting solutions for business-critical applications and infrastructure. Build and enhance observability dashboards using Grafana. Support and optimise existing Geneos monitoring implementations. Create and maintain automation scripts to streamline operational processes and improve reliability. Collaborate with engineering, infrastructure, and support teams to improve system resilience and operational performance. Define and implement SRE best practices, including monitoring standards, alert management, incident response, and operational readiness. Perform troubleshooting and root cause analysis of platform and application issues. Support capacity planning, performance tuning, and platform optimisation initiatives. Contribute to documentation, operational procedures, and knowledge sharing within the engineering team. About You OpenSearch (Critical Requirement) Extensive hands-on experience deploying and managing OpenSearch in production environments. Deep understanding of OpenSearch architecture, cluster design, indexing strategies, shard management, and performance tuning. Experience implementing log aggregation, search, analytics, and observability use cases using OpenSearch. Knowledge of OpenSearch security, access controls, backups, upgrades, and operational best practices. Monitoring & Observability Strong experience with Grafana, including dashboard development, alerting, and data source integration. Experience with enterprise monitoring platforms, specifically Geneos. Understanding of modern observability principles, including metrics, logs, traces, alerting, and service health monitoring. Scripting & Automation Strong scripting skills in one or more of: Python Shell/Bash PowerShell Experience automating operational tasks and monitoring workflows. SRE / Platform Engineering Proven experience in an SRE, Platform Engineering, DevOps, or Infrastructure Engineering role. Strong troubleshooting and problem-solving capabilities. Experience supporting highly available and business-critical systems. Understanding of incident management, resilience engineering, and operational excellence practices. Desirable Skills Experience with cloud platforms (Azure, AWS, or GCP). Knowledge of containerisation technologies (Docker, Kubernetes). Experience with CI/CD pipelines and Infrastructure as Code. Experience working within financial services or regulated environments. Familiarity with Elasticsearch ecosystems and migration strategies to OpenSearch. Candidate Profile The ideal candidate will be a hands-on engineer who combines deep technical expertise with a pragmatic operational mindset. They will be comfortable working independently, driving observability improvements, and collaborating across engineering teams to deliver reliable and scalable monitoring solutions. Key attributes Strong ownership mentality. Excellent analytical and troubleshooting skills. Effective stakeholder communication. Ability to operate in fast-paced production environments. Focus on reliability, automation, and continuous improvements About Us FDM is an award-winning global leader in tech and business talent solutions, backed by more than 35 years of industry experience. We have centres across Europe, North America, and Asia-Pacific, and a global workforce of over 2500 employees. FDM has shown exponential growth throughout the years, firmly establishing itself as an award-winning employer, currently listed on the FTSE4Good Index and as a 2026 Financial Times UK 'Best Employer'. Diversity and Inclusion the company is an equal opportunity employer, and all qualified applicants will receive consideration for employment without regard to race, colour, religion, sex, sexual orientation, national origin, age, disability, veteran status or any other status protected by federal, provincial or local laws. Why join us Career coaching, mentoring and access to upskilling throughout your entire FDM career Assignments with global companies and opportunities to work abroad Opportunity to re-skill and up-skill into new areas, develop non-linear career paths and build a skillset within your field Annual leave and work-place pension

Full Stack Engineer (Java or Kotlin or Python) - VP Engineer the future of global finance. At Citi, our Tech team doesn't just support finance - we are helping to redefine it. Every day, $5 trillion crosses through our network. We do business in 180+ countries operating at a scale few can match. From deploying advanced AI to helping shape global markets, we build systems that matter. Look to join a team where your work helps influence economies, your ideas can drive innovation and outcomes, and your growth is backed by mentorship, continuous learning and flexibility with potential hybrid work opportunities. Help solve real-world challenges that touch millions and get the opportunity to build the future of finance with Citi Tech. Department Overview: Equities Technology at Citi is undertaking a bold, multi year transformation to build a best in class global platform across execution, prime, clearing and cross product margining. We are re engineering our technology estate to achieve world leading performance and resiliency, enabling new capabilities in advanced execution, global market connectivity, and modernised post trade, clearing and margin processes. Our ambition is to deliver a seamlessly integrated, highly automated platform that drives outstanding client outcomes and accelerates growth across our global franchise. As part of the team, you'll collaborate closely with high calibre engineers and deeply engaged business and product partners - working together to define and deliver the next generation of Equities technology at Citi. Role Overview Citi is seeking an accomplished and highly motivated Vice President (VP) level developer to join our Strategic Equity Solutions (SES) team. This role offers the opportunity to contribute to the creation of greenfield services focused on enhancing trader workflow tooling. As a key member of an agile, self-organizing team, you will have direct engagement with business users globally, offering substantial autonomy in technology decisions. Our team is committed to continuous delivery, owning the entire pipeline to production, and striving for frequent releases that drive immediate business value. What will you do: Design & Develop: Iteratively develop robust, high-performance software solutions from initial concept through to production deployment, directly impacting trader efficiency and capabilities. Business Acumen & Product Ownership: Collaborate closely with business stakeholders, demonstrating a keen understanding of business drivers and a strong product owner mindset. You will translate complex requirements into technical specifications and innovative solutions that address critical trading needs. Functionally, this role will directly support the Strategic Equity Solutions (SES) business. Code Excellence: Produce clean, efficient, and well documented code, adhering to best practices and contributing to a high quality codebase. Engineering Leadership: Champion and share best engineering practices, foster a culture of continuous improvement, and mentor junior colleagues across the wider technology team. Technically, you will be an integral part of the ABS team. Innovation & Adaptation: Proactively evaluate and integrate new technologies, including AI tooling, to maintain a leading edge in our solutions. Full Lifecycle Ownership: Take ownership of the entire software development lifecycle, from design and development to testing, deployment and monitoring in a DevOps centric environment. Key Skills and Experience: We are looking for a versatile and experienced professional. This position can be tailored to a Full Stack Developer or a dedicated Backend Developer, depending on the candidate's core strengths and career aspirations. Technology Skills Desired: Backend Expertise (Mandatory for Backend Role, Highly Desired for Full Stack): Strong proficiency in modern backend languages such as Kotlin and/or Python. Extensive experience with microservices architecture and developing scalable, resilient services. Demonstrated experience deploying and managing applications within containerization platforms like Kubernetes and OpenShift. Frontend Expertise Experienced in Python based frontend frameworks (e.g., Dash, Streamlit, or other relevant Python web frameworks) would be desirable. DevOps & Modern SDLC: Deep understanding and practical application of DevOps principles, including CI/CD pipelines, automated testing, and trunk based development. A strong commitment to self automated testing and continuous integration. Domain Knowledge: Prior experience with front office applications and an understanding of trading workflows, financial instruments, or market data will be a significant advantage. Educational Background: Bachelor's degree or University degree in Computer Science, Engineering, or a related field, or equivalent practical experience in a similar role. This job description provides a high level review of the types of work performed. Other job related duties may be assigned as required. What we'll provide you By joining Citi, 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: 27 days annual leave (plus bank holidays) A discretionary annual performance related bonus Private Medical Care & Life Insurance Employee Assistance Program Pension Plan Paid Parental Leave Special discounts for employees, family, and friends Access to an array of learning and development resources Visit our About Us Culture, Values & Benefits page to learn more. Alongside 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. Job Family Group: Technology Job Family: Applications Development Time Type: Full time Most Relevant Skills Please see the requirements listed above. Other Relevant Skills For complementary skills, please see above and/or contact the recruiter. 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.

Key points Contract: Full time, permanent contract (hybrid working) Team: Knowledge Management Reports To: Associate Knowledge Management Overview ZHA is evolving its data capabilities to support world leading design, project delivery and decision making. We are seeking an Analytics Engineer to help advance the practice's data ecosystem by transforming raw information into well modelled, actionable datasets that empower our teams to explore, analyse and innovate. Working at the intersection of data engineering and analytics, you will develop the pipelines, transformations and models that underpin our modern lakehouse platform; enabling advanced reporting, data visualisation, digital tools and emerging AI workflows. You will collaborate with teams across the business, helping to make their data more accessible, reliable and impactful. This role is an opportunity to help define how a leading practice leverages data: creating clarity, consistency and confidence in the information that drives both our creative and operational excellence. Main responsibilities Develop and maintain scalable ELT/ETL pipelines in Azure Data Factory and Databricks, supporting both existing and new data sources. Build, refine and optimise transformation logic using Databricks notebooks, Python, SQL and Spark. Model data across Bronze, Silver and Gold layers to ensure structure, consistency and clarity. Collaborate with colleagues across architecture, finance, operations, and technology to understand data needs and translate them into well designed models and solutions. Ensure data quality through validation, testing and clear documentation. Implement data governance controls and access policies with Unity Catalog. Support business critical system transformations by managing data migrations and ensuring data quality and continuity. Champion best practices in data engineering, analytics, version control and development workflows. Your profile You are passionate about data and analytics, with a drive to solve real business problems with data. You are proactive, detail oriented and committed to continuous improvement and learning. You enjoy solving complex business challenges with data and are comfortable with ambiguity and change. You value clear documentation, knowledge sharing and collaboration. You can communicate complex technical concepts in a way that is accessible and relevant to business stakeholders. Skills Required Bachelor's Degree in Computer Science, Data Engineering, Information Systems or related STEM field. Minimum 2+ years' experience in analytics engineering, data engineering or data platform development. Experience with Azure, Microsoft 365, Power Platform and Microsoft Graph API. Exposure to AI/ML workflows and understanding of data requirements for model training and deployment. Familiarity with Architectural, Design or Creative industries is a plus.

At Bionic, we're on a mission to make it radically easier to run a small business. As the UK's leading business comparison and switching service, we help thousands of small and medium size businesses save time and money on essentials like energy, broadband, insurance, and finance. We combine smart technology with real human support to match our customers with the best deals - quickly and effortlessly. With trusted partnerships including Compare the Market, Uswitch for Business, MoneySuperMarket and we're committed to help SMEs get the best deals for their business essentials every time. Role As a Senior Data Engineer you'll be responsible for designing, building, and scaling robust, high quality data platforms that underpin critical business reporting and operational decision making. You will drive the development of data pipelines, models, and architecture across our modern data stack (AWS, Snowflake, dbt) ensuring performance, reliability, and scalability. Working closely with Architecture, Data Analytics, and Salesforce teams, you will drive the evolution of our data platform, guide best practices, and play a key role in modernising legacy processes. You will act as a technical leader within the team, shaping design decisions, mentoring engineers, and ensuring delivery of resilient, well governed data products. This role requires strong technical expertise, strategic thinking, and the ability to translate complex business needs into scalable, production grade data solutions. Key Responsibilities Design, build and optimise scalable data pipelines and data products across AWS, Snowflake and dbt, setting engineering standards and best practices. Lead the development of robust, testable dbt models and frameworks to ensure high data quality, consistency, and maintainability. Own data pipeline reliability, proactively monitoring, troubleshooting, and resolving complex data and performance issues with minimal disruption. Architect and evolve analytics ready data models (e.g., star schemas, data marts), balancing performance, flexibility, and usability. Collaborate with senior stakeholders (Analytics, Salesforce, Architecture) to define requirements and translate them into scalable technical solutions. Drive continuous improvement of data engineering practices, including CI/CD, observability, testing frameworks, and documentation standards. Provide technical leadership through mentoring, code reviews, and guidance to junior team members, fostering engineering excellence. Ensure compliance with security, governance, and data privacy requirements, embedding best practices in all solutions. Contribute to strategic data platform decisions, including tooling, architecture, and long term roadmap planning. Essential Skills and Experience Required Proven experience designing, building and maintaining scalable data pipelines and cloud based data platforms in production environments. Advanced SQL expertise, including query optimisation, performance tuning and complex data transformations. Strong Python skills for data engineering, automation and system integrations. Hands on experience with Snowflake (or similar cloud data warehouse), including data modelling, optimisation and security/access controls. Strong experience with dbt, including modelling, testing and deployment best practices. Solid knowledge of AWS data services and cloud native architectures (e.g. S3, Lambda, IAM, CloudWatch). Experience with modern software engineering practices, including Git, CI/CD and automated testing. Strong understanding of data modelling and data warehousing principles. Ability to solve complex problems, identify root causes and deliver scalable, reliable solutions. Experience leading technical delivery, influencing architectural decisions and collaborating across multiple stakeholders. Comfortable working in ambiguity, translating complex business requirements into structured technical solutions. Strong communication skills, with the ability to engage both technical and non technical audiences. Nice to have Experience with real time or streaming data architectures. Exposure to Salesforce data models and API integrations. Experience using AWS CDK for infrastructure deployment. Familiarity with orchestration tools such as Airflow. Experience implementing data observability, monitoring and alerting solutions. Knowledge of BI platforms such as Tableau and how data products are consumed by end users. Exposure to MLOps practices, including supporting machine learning pipelines, model deployment and monitoring. Awareness of emerging trends, technologies and best practices within modern data engineering. Why Join Bionic At Bionic, better never stops. You'll join a team obsessed with improvement, innovation and impact - where your expertise will directly shape how thousands of British businesses grow and thrive. Benefits We know that our employees are what sets us aside from our competitors; our benefits are just part of the way we say thanks. Health & Wellbeing Private healthcare cover Employee Assistance Programme, including a virtual GP service, priority physio & talking therapies Eyecare scheme Time Off 25 days annual leave plus the 8 UK bank holidays, increasing with tenure 1 paid family/religious day of leave per year - following successful probation period 1 paid charity volunteering day per year Option to buy/sell up to an additional 3 days leave per year Family Matters Enhanced maternity, paternity or shared parental leave 2 days off for your wedding upon joining, and up to 5 days after 2 years service Flexible working options & a hybrid work approach Financial Wellbeing Auto enrolled salary sacrifice pension scheme Life assurance Season ticket loans, salary advances & loans to buy or rent a home - based on tenure Cycle to work scheme Recognition Highflyers incentive, a VIP experience for our high performers across Bionic group to celebrate success Company summer & Christmas party celebrations, business and local zone & annual awards and recognition Long service awards

The Junior Data Engineer is a new role within the Business Services Development team, created to help unlock the value of the firm's data and support our long-term Data and AI strategy. Working alongside experienced technology professionals, this role will contribute to the operational support, design, development and maintenance of our data platforms. The role combines hands-on technical delivery with continuous learning across data engineering, database administration and analytics. Responsibilities include supporting our operations, developing and maintaining data pipelines, supporting SQL Server environments, improving data quality and performance and ensuring business data is secure, reliable and accessible. This is an excellent opportunity for someone looking to build on their experience and career in Data Engineering. The role provides exposure to Microsoft SQL Server, Azure Data Services, Microsoft Fabric and emerging AI technologies, while working within a collaborative and supportive environment. Key Responsibilities Maintain, monitor Azure database solutions. Investigate data issues and help resolve discrepancies across source systems. Maintain documentation for data flows, database objects and operational support processes. Build and maintain solutions to extract, transform, and load (ETL) data from various sources (case management system, document management system, finance system, etc.) into centralised data repositories (data Lakehouse). Ensure pipelines are efficient, reliable, and well-documented. Implement a unified data warehouse/data Lakehouse/Medallion Architecture within Fabric/Azure for the business analytical needs. Model structured data (e.g., relational tables in Azure SQL or Microsoft Fabric) to support flexible reporting and analysis, and manage unstructured/semi-structured data (documents, text logs) in a data lake. Combine data from on-premises SQL Server and cloud databases, available APIs as well as files and external data, to create a single source of truth for insights. Develop pipelines, notebooks and workflows for datacleansing, normalisation, and aggregation. Resolve data quality issues by implementing validation rules and collaborating with data owners to correct source data when necessary. Monitor and tune the performance of data queries and pipelines. This includes indexing strategies, query refactoring, partitioning of data, and scaling of Azure resources to meet demand. Support data governance best practices, including access controls for sensitive data, data encryption, and compliance with data privacy regulations (GDPR, etc.). Work with IT security and compliance teams to ensure data solutions meet the company's confidentiality and security standards. Stay current with advancements in data engineering, analytics, and AI. Handle the day-to-day management of the analytical data infrastructure. This includes scheduling and monitoring ETL jobs, troubleshooting failures or data inconsistencies, and ensuring high availability of critical analytics databases. Provide backup and recovery support and front-line support for data-related inquiries or issues. Skills Essential Proficiency in SQL (T-SQL) and strong knowledge of SQL Server (on-prem and Azure SQL). Able to design and optimise relational schemas, indexes, views, and stored procedures for complex data processing. Hands-on experience building ETL/ELT workflows. Familiarity with tools like Azure Data Factory, Fabric Pipelines. Knowledge of Materialized Lake Views (or similar ETL tools) and Logic Apps for orchestrating data movement and transformation between heterogeneous systems. Proficiency in Microsoft Azure data services, including Azure Data Lake Storage, Microsoft Fabric, Medallion Architecture. Strong ability in a programming language for data handling, ideally Python & TSQL. Familiar with scripting for automation (PowerShell or Bash). Demonstrated ability to manipulate data through code (e.g., parsing JSON, calling APIs, etc.). Knowledge and awareness of NoSQL and Big Data Tools including NoSQL databases (e.g., Cosmos DB, MongoDB) and understanding of when to use them. Experience developing reports or dashboards in Power BI (preferred) or similar BI tools (Tableau, Qlik). Monitoring & Alerting: Implement telemetry, logging, and monitoring for cloud data platforms built on Microsoft Fabric and Microsoft Azure, leveraging Azure Monitor, Log Analytics, and Application Insights to track pipeline health, automate alerts, and ensure reliable operation of data ingestion and transformation pipelines. DevOps & CI/CD: Knowledge of modern software development practices. Comfortable using Git for version control. Experience with CI/CD pipelines (Azure DevOps, GitHub Actions, or similar) to automate deployment of data projects. Understanding of Infrastructure-as-Code (e.g., ARM templates, Terraform) for provisioning data infrastructure. Security & Governance: Deep appreciation for data security, privacy, and governance. Familiar with implementing role-based access control, data masking, and encryption. Understands regulatory requirements around data (GDPR, etc.) and ensures compliance in data engineering solutions. Problem-Solving: Excellent problem-solving skills with the ability to troubleshoot data issues across systems (from source data irregularities to ETL bugs to performance bottlenecks). Communication: Strong written and verbal communication skills. Able to document workflows clearly and to explain technical concepts or analysis results to non-technical stakeholders in plain language. Collaboration: Proven ability to work collaboratively in cross-functional teams. Open to feedback and skilled in gathering user requirements. Customer-service mindset when addressing the needs of internal clients (attorneys, management). Desirable Additional Programming: Familiarity with Python or C# for integration with our .NET systems could be beneficial. Infrastructure Knowledge: Experience with hybrid environments (on-prem to cloud integration), and knowledge of networking as relates to data transfer, etc. Experience with high-availability architectures for data pipelines. Project Management: Knowledge of Agile project methodologies. Competencies Adaptability: Ability to switch between different projects and technologies as needed Time Management: Effectively prioritise and manage multiple responsibilities Communication: Clear and consistent communication with team members, management, and stakeholders Teamwork: Collaborate effectively within a team while also being capable of independent work Problem-solving: Analyse complex issues and develop effective solutions Attention to Detail: Emphasis on quality and thoroughness in all aspects of work Continuous Learning: Proactively seek out and apply new knowledge and skills Initiative: Self-motivated with the ability to take ownership of tasks and projects Critical Thinking: Ability to challenge assumptions and ask insightful questions to ensure optimal solutions. Qualifications Education: Bachelor's degree in computer science, Information Systems, Equivalent hands-on experience will be considered. Experience: Minimum 2 years in a data-focused role, with a proven track record of successfully delivering of supporting SQL Server, data pipeline and analytics projects. Other Requirements: Experience in a law company's or professional services environment is welcome but not required. A strong interest in the legal technology domain and eagerness to learn about intellectual property data is important for cultural fit. The Company Potter Clarkson LLP is one of the leading pan-European Intellectual Property law firms, with seven offices across the UK, Denmark, Sweden and Germany. We offer clients a full IP service to support them in achieving their commercial objectives. We pride ourselves in the exceptional level of client care offered by our approachable and engaged team. The firm is consistently ranked in the top tier of major legal guides, such as Legal 500 and MIP. We also hold three independent ISO accreditations which evidence our high level of environmental awareness, service provision and information security. We are committed to promoting a healthy work-life balance, and supporting the wellbeing of all our people. We offer a wealth of health and wellbeing benefits and resources including healthcare, attractive flexible working options, sports and social groups, virtual yoga and mindfulness sessions, a virtual wellbeing hub, mental health first aiders, and a busy social calendar. Benefits We offer a flexible working policy, with employees expected to be in the office two - three days per week. Initially, the successful candidate will need to work in the office full-time to facilitate their training and integration into the company. Competitive salary, dependant on experience. Birthday leave. Salary sacrifice pension scheme. One paid day off per year for charitable work. Health care packages. Discount vouchers. Company aways days. We are committed to providing a highly supportive, inclusive and stimulating workplace for all our people. Read more about how we're building a more equal, diverse and inclusive culture here

London, United Kingdom - Remote / Hybrid About Tripadvisor 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. Tripadvisor, the world's largest travel site, operates at scale with over 500 million reviews, opinions, photos, and videos reaching over 390 million unique visitors each month. We are a data driven company that leverages our data to empower our decisions. Tripadvisor is extremely excited to play a pivotal role in supporting our travellers. With travel plans dashed in early 2020, many people have been dreaming about their next big holiday for more than a year, so it's no surprise that travellers are extra conscious of getting it just right when they do travel. Helping to play an important role in enabling travellers is an amazing opportunity over the next year and beyond. Our data engineering team is looking to hire a Senior Data Engineer in the UK. The new Senior Data Engineer will be focused on delivering Tripadvisor's first-in-class data products that serve all data users across the organization. As a member of the Data Platform Enterprise Services Team, you will collaborate with engineering and business stakeholders to build, optimize, maintain, and secure the full data vertical including tracking instrumentation, information architecture, ETL pipelines, and tooling that provide key analytics insights for business-critical decisions at the highest levels of Product, Finance, Sales, CRM, Marketing, Data Science, and more. All in a dynamic environment of continuously modernizing tech stack including highly scalable architecture, cloud-based infrastructure, and real-time responsiveness. Tripadvisor provides a unique, global work environment that captures the speed, innovation and excitement of a startup, at a thriving, growing and well established industry brand. We take pride in our data engineering and are looking for a talented and highly motivated engineer with a passion for solving interesting problems to add to our high performing team. What You'll Do Providing the organization's data consumers high quality data sets by data curation, consolidation, and manipulation from a wide variety of large scale (terabyte and growing) sources. Building high quality data pipelines and ETL processes that interact with terabytes of data on leading platforms such as Snowflake and BigQuery. Developing and improving our enterprise data marts by creating efficient and scalable data models to be used across the organization. Partnering with our analytics, data science, crm, and machine learning teams for data solutions. Responsible for an enterprise data mart integrity, validation, and documentation. Responsible for the data pipelines' SLA and dependency management. Writing technical documentation for data solutions, and presenting at design reviews Solving data pipeline failure events and implementing sound anomaly detection Working with various teams from analytics to product owners and front end developers on tracking solutions and solving technical challenges Leading medium to large size projects in terms of writing technical specs and project planning Mentoring junior members of the team. Skills & Experience BS or MS degree in Computer Science or a related technical discipline 6+ years of data engineering or general software development experience Experience working with large datasets (terabyte scale and growing) and familiarity with various technologies and tooling associated with databases and big data: Big Data (i.e. Hadoop, Hive, BigQuery, Snowflake) Relational DB (MS SQL, PostgreSQL/MySQL) Comprehensive data design and data modeling experience Solid experience developing complex ETL processes from concept to implementation; these should include defining SLA, performance measurements and monitoring. Advanced query language and data exploration skills, proven record of writing complex SQL queries across large datasets. Systems performance and optimization experience, with an eye for how systems architecture and design impacts performance and scalability Experience in functional programming in Python or in an equivalent language Strong software engineering principles Self paced, organized, and detail oriented person with a strong sense of ownership Strong communication skills to effectively communicate with both business and technical teams. Ability to work in a fast paced and dynamic environment Proven record of technical leadership on planning and driving medium to large size projects and handling challenging deadlines. Strong interpersonal skills, intense curiosity, and an enthusiasm for solving difficult problems. Ability to break down complex problems into simple solutions. Ability to work with end users to solve technical challenges Comfortable owning the full data vertical and work autonomously Ability to mentor and support more junior members of the Team Nice to have Exposure to and/or interest in machine learning and data science specifically to help solve day to day problems and reach objectives in an innovative way Experience working with task orchestration tools, Airflow or similar systems Comfortable working in a Linux CLI environment Experience in designing high scale, fault tolerant and performant distributed applications Experience in developing and managing real time data pipelines Experience in programming languages such as Java or equivalent Experience with data governance. 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. Accessibility & Diversity 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 . Equal Employment Opportunity Individuals seeking employment at Tripadvisor are considered without regards to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any characteristic protected by law. Tripadvisor is committed to creating an inclusive culture. If you choose to share this information, it will allow us to track the effectiveness of our recruiting efforts and to monitor the diversity of our applicant pool for all roles and levels. Please consider answering the following voluntary questions. Completion is entirely voluntary. Should you choose to answer any of the questions, your answers will not be considered in the hiring process or thereafter . click apply for full job details

Overview Era4 develops, owns and operates AI infrastructure across the UK, powered by renewable energy. Converting legacy industrial and energy sites into modern data centre facilities, Era4 is combining brownfield regeneration opportunities with cleaner, efficient, scalable compute capacity for healthcare, research, finance, enterprise, and public sector organisations. Role Summary We are seeking Automation Engineers who sit at the intersection of Site Reliability Engineering and modern AI driven operations. Embedded within Era4's engineering led Operations Centre, this role exists to build a modern AI Platform Operations function from scratch, designing tooling, and agentic workflows. No legacy to deal with. Key Responsibilities Runbook Automation & Agent Development: Build agentic, executable workflows capable of triaging, diagnosing, and where appropriate autonomously remediating known failure patterns. Build and maintain LLM backed agents targeting the observability stack, ITSM platform, and infrastructure APIs (e.g. DCIM, IPAM, hypervisor layers). Develop auditable client focused automations, for client interactions and workflows, with appropriate controls. Develop safe, auditable automation with appropriate controls for higher risk platform actions. Operational Tooling & Self Service Enablement: Build internal tooling that empowers engineers and service desk analysts: CLI utilities, ChatOps integrations (Slack/Teams bots), status dashboards, and self service automation hooks. Reduce dependency on DevSecOps and engineering teams for routine operational tasks through automation. Maintain and contribute a library of automation assets, agent prompts, and runbook as code artefacts, version controlled and peer reviewed. Develop the automation layer around monitoring and event management: alert suppression logic, enrichment pipelines, correlation rules, and alert to ticket integrations. Continuously tune signal to noise ratios across monitoring tooling (Prometheus, Mimir, Grafana, or equivalent) to improve situational awareness. Design and implement event correlation and deduplication logic to reduce alert storms and improve incident context. Identify common operational patterns and tasks as candidates for automation; maintain and prioritise a toil reduction backlog. Participate in post incident reviews and translate findings into updated automation, runbooks, or agent logic. Contribute to the evolution of Era4's operational standards, tooling architecture, and agent framework. Operational: Prior experience in an SRE, Senior Operations, or Platform Engineering environment, with exposure to on call operations and incident management processes. Experience in converting narrative runbooks into executable automation or codified decision trees. Understanding of ITIL aligned incident and change management principles and ITSM tooling. Technical - Core Element Strong Python development skills, including scripting for automation, API integration, and data processing. Hands on experience with observability and monitoring platforms: Prometheus, Grafana, Mimir, or equivalent. Experience integrating with ITSM platforms (ServiceNow, Halo, Jira Service Management, or similar) via API. Solid understanding of event driven architectures, message queues, and webhook based automation patterns. Strong understanding of managing GPU infrastructure in production, key signals and metrics and the automation of workflows. Familiarity with Infrastructure as Code principles and cloud native environments (Kubernetes, Terraform, or similar). Comfort operating in an API first environment, integrating agents with infrastructure APIs, DCIM, IPAM, and hypervisor control planes. One or more would be an advantage Exposure to data centre or colocation operations, particularly high density compute or GPU infrastructure environments. Experience with ChatOps tooling: building Slack or Microsoft Teams bots for operational workflows. Familiarity with DCIM platforms and telemetry pipelines (power, thermal, network). Knowledge of OpenTelemetry, distributed tracing, or log aggregation platforms (Loki, ELK, Splunk). Contributions to open source observability or automation tooling. Experience in a start up or scale up environment where tooling is built from scratch. Why Join Era4 You'll be joining a mission driven start up building critical national infrastructure, where operational excellence directly enables growth. This role offers high visibility with leadership, real autonomy, and the chance to shape how a next generation company operates at scale. Diversity & Inclusion Era4 is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. United Kingdom - Hybrid (Visit to office / site required)

Staff Back End Engineer - Finance Technology Hybrid in London / Remote within the UK The company Small businesses move fast. Opportunities often don't wait, and cash flow pressures can appear overnight. To keep going, and growing, SMEs need finance that's as flexible and responsive as they are. That's why we built iwoca. Our smart technology, data science and five-star customer service ensures business owners can act with the speed, confidence and control they need, exactly when it's needed. We've already cleared the way for 100,000 businesses with more than £4 billion in funding. Our passionate team is driven to help even more SMEs succeed, through access to better finance and other services that make running a business easier. Our ultimate mission is to support one million SMEs in their defining moments, creating lasting impact for the communities and economies they drive. The team The Finance Technology team builds and maintains the payment infrastructure and financial data systems that power iwoca's growth. The team partners with the Finance team to build scalable tools and supports other product teams to launch new products with enhancements to the payment infrastructure and financial data systems. As a group of skilled back-end engineers, they work closely with a dedicated Tech Lead and Product Manager, using Agile methods to ship code frequently and solve complex problems together. Four of the team work remotely and three are hybrid, working 1-3 days per week in the London office. The role Responsibility and Autonomy: Lead the delivery of projects involving many stakeholders and systems. Go beyond the code to develop a deep expertise in the Finance Technology team's domain, understand our core financial products and our stakeholder needs to become a trusted technical advisor to the business. Perform detailed technical scoping and prototyping to support feasibility testing and decision making. Delivery and Collaboration: Architect and implement scalable solutions for complex challenges, such as building payment microservices, implementing direct debits, and rearchitecting our reporting technology. Translate ambiguous product requirements into clear, actionable technical plans that guide the team's work. Contribute high-quality, production-ready code and foster a collaborative environment by reviewing work, helping to troubleshoot live issues, and writing useful documentation. Learning and Growth: Embrace and demonstrate a growth mindset by sharing new technologies and best practices within the team and across the company. Work with the Tech Lead to improve our development and agile practices, and to help raise the technical bar within the team. AI: We're pushing hard on AI-assisted development. Engineers here write clear technical specs, let skills and agents implement boiler-plate, and hold a high bar on code review. We give the team unlimited tokens across all models and expect people to experiment. The requirements Essential: Proven experience building and running microservices and distributed systems in production. Comfortable reasoning about durable cross-service communication, transactional correctness, and failure modes at scale. Extensive experience with relational databases, ideally PostgreSQL, but open to MySQL or similar (e.g., MS SQL, Oracle); emphasis is on data integrity. Experienced managing the delivery of complex projects that are implemented by several engineers and leading feature development from 0-1 in a startup, scale-up, or SME environment. You use AI (like Cursor, Claude Code or similar) in your daily flow - whether for work or for fun. You use it to blast through boilerplate and research, so you can focus on the hard parts: complex architecture, rigour, and high-stakes decision-making. Proven track record of building and managing complex API integrations (e.g., Payments like Stripe/Braintree, or high-scale integrations in industries like Telecoms, Travel, Ad-Tech or similar). A strong technical or mathematical foundation, evidenced by a degree in a quantitative field (Computer Science, Engineering, Physics, Maths or similar) or equivalent professional experience. Track record of mentoring engineers of varying levels as a peer - pairing on hard problems, raising the bar in code review, and unblocking teammates day-to-day Bonus: Extensive experience with Python web frameworks (Django / FastAPI / Flask / Starlette / Ninja). A background in high-logic or high-scale fields like Fintech, Gaming, Healthcare Tech, Logistics, Security/Cryptography or similar. Working knowledge of modern data tooling - ideally Snowflake and dbt - used to build analytical or reporting pipelines. The salary We expect to pay from £100,000 to £124,999 for this role. But, we're open-minded, so definitely include your salary goals with your application. We routinely benchmark salaries against market rates, and run quarterly performance and salary reviews. The culture At iwoca, the best idea wins. We model our culture on independent thinking, challenging untested logic, and evidence-based decisions. We prioritise learning and growth, and give people the autonomy to develop in the direction that makes them most effective. We're a tech company and believe in the power of AI to help us work faster and better. We provide the infrastructure where every iwocan always has access to the best models and where those models have access to all of our data. We will help our people to learn how to use and grow with the new tools available to them. The offices We put a lot of effort into making iwoca a great place to work: Offices in London, Leeds, Berlin, and Frankfurt with plenty of drinks and snacks. Events and community-led groups, including running groups, padel, and monthly ping-pong and pool competitions. The benefits Flexible working hours. Medical insurance from Vitality, including discounted gym membership. A private GP service (separate from Vitality) for you, your partner, and your dependents. 25 days' holiday per year, an extra day off for your birthday, the option to buy or sell an additional five days of annual leave, and unlimited unpaid leave. A one-month, fully paid sabbatical after four years. Instant access to external counselling and therapy sessions for team members that need emotional or mental health support. 3% Pension contributions on total earnings. An employee equity incentive scheme. Generous parental leave and a nursery tax benefit scheme to help you save money. Electric car scheme and cycle to work scheme. Two company retreats a year: we've been to France, Italy, Spain, and further afield. And to make sure we all keep learning, we offer: A learning and development budget for everyone. Company-wide talks with internal and external speakers. Access to learning platforms like Treehouse. Useful links: iwoca benefits & policies Interview welcome pack

Company Overview VML, part of WPP, is a leading creative company that combines brand experience, customer experience, and commerce, creating connected brands to drive growth. VML is celebrated for its innovative and human first, award winning work for blue chip client partners including AstraZeneca, Colgate Palmolive, Dell, Ford, Microsoft, Nestlé, The Coca Cola Company, and Wendy's. The agency is recognized by the Forrester Wave Reports, as a Leader among Marketing Creative and Content Service Providers, Commerce Services, Global Digital Experience Services, Global Marketing Services and, most recently, Marketing Measurement & Optimization. In addition, VML's specialist health network, VML Health, is one of the world's largest and most awarded health agencies. VML's global network is powered by 26,000 talented people across 55+ markets, with principal offices in Kansas City, New York, Detroit, London, Sao Paulo, Shanghai, Singapore, and Sydney. About WPP WPP is the trusted growth partner for the world's leading brands. We unite cutting edge media intelligence and data solutions, world class creativity, next generation production, transformative enterprise solutions and expert strategic counsel in a single company - powered by exceptional talent and our agentic marketing platform, WPP Open, to help our clients navigate change, capture opportunity and deliver transformational growth. For more information, visit Job Overview We are seeking a highly capable Senior Business Intelligence Engineer to lead the delivery of business critical analytics used by hundreds of stakeholders globally across a large listed organisation. This role is responsible for architecting scalable, resilient, and modern data solutions across fragmented and complex source systems, while delivering high quality analytics, reporting, and insight capabilities that support strategic decision making across the business. The position sits within the Business Operations & Transformation team, where data and analytics are viewed as a key strategic enabler for driving operational alignment, commercial focus, and organisational transformation. Key Responsibilities Architect and oversee scalable end to end data pipelines across fragmented and heterogeneous source systems. Design and implement robust ETL/ELT frameworks and modern lakehouse architectures. Build and maintain enterprise grade data platforms, including ingestion pipelines, data warehousing, semantic models, and reporting layers. Deliver high quality analytics, dashboards, and self service reporting solutions using Power BI and Microsoft Fabric. Enable advanced analytics, automation, and data transformation using Python and SQL. Partner closely with Finance, Commercial, Operations, Business Development, and Enterprise Technology teams. Act as a trusted advisor to senior leadership, translating strategic business priorities into data and analytics solutions. Provide insightful analysis, recommendations, and performance reporting to support optimisation and decision making. Develop and govern additional data collection practices to improve data availability and accessibility. Implement and maintain Row Level Security (RLS) and data access controls across enterprise reporting and analytics solutions. Establish and promote governance, standards, and best practices for data quality, security and analytics delivery. Develop reusable semantic models. Support both strategic initiatives and ad hoc analytical deep dives across operational and financial datasets. Drive adoption of data driven decision making across the organisation. Build strong relationships with technical and non technical stakeholders across a matrix organisation. Contribute to the ongoing evolution of the organisation's BI and data strategy. Essential Experience Strong understanding of the modern data stack, including data modelling, warehousing, and large scale ETL/ELT pipeline development. Proven experience architecting and managing complex enterprise data pipelines across fragmented systems. Strong understanding of modern cloud data architecture principles, including lakehouse and medallion architectures. Experience developing enterprise dashboards and self service analytics capabilities. Strong business analysis skills with the ability to translate operational and financial challenges into technical and analytical solutions. Comfortable analysing and interpreting financial, commercial, and operational datasets. Experience operating within complex, matrixed, and transformation focused organisations. Excellent stakeholder management, communication, and presentation skills. Comfortable balancing hands on technical delivery with leadership responsibilities. Technical Skills Databricks Microsoft Fabric Power BI SQL Python Desirable Experience Experience with ERP platforms such as Workday, Dynamics, Maconomy and SAP. Understanding of Azure cloud services and broader cloud ecosystem architecture. Experience implementing data governance, master data management, and compliance frameworks. Relevant cloud, analytics, or data platform certifications. Data collection design. Personal Attributes Collaborative, influential, and delivery focused. Comfortable operating in ambiguity and complex organisational environments. Strong attention to detail and commitment to data quality. Able to communicate effectively with both technical and non technical audiences. Naturally curious with a continuous improvement mindset. Passionate about leveraging data to drive business performance and transformation. Schedule and Work Environment We believe the best work happens when we're together, fostering creativity, collaboration, and connection. That's why we've adopted a hybrid approach, with teams in the office an average of four days a week. If you require accommodations or flexibility, please discuss this with the hiring team during the interview process. Equal Opportunity Statement WPP (VML) is an equal opportunity employer and considers applicants for all positions without discrimination or regard to characteristics. We are committed to fostering a culture of respect in which everyone feels they belong and has the same opportunities to progress in their careers.