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Swansea, United Kingdom Posted on 28/05/2026 About Scrumconnect Consulting Scrumconnect Consulting is a multi-award-winning digital consultancy whose work has positively influenced the lives of over 40 million UK citizens. We deliver impactful technology solutions across UK government departments, working at the forefront of user centred design, agile delivery, and scalable digital services that genuinely make a difference. Location: Swansea (with a regular expectation of 60% on site attendance). Strong focus on work life balance with a flexible hybrid model (3 days onsite). Be part of a collaborative, multidisciplinary agile environment alongside civil servants and industry experts. Based in Swansea, South Wales - three days per week on site. About the Role We are seeking a technically deep, automation first Software Development Engineer in Test (SDET) to embed within a blended digital delivery squad of civil servants and supplier staff. In this role, you will design, build, maintain, and continuously improve the automated test frameworks and quality engineering practices that underpin high volume, citizen facing digital services handling billions of interactions annually. You will own the full testing lifecycle from strategic planning through to continuous integration and continuous deployment (CI/CD) pipeline integration. Working alongside software engineers, architects, and product owners, you will ensure that quality is built in from the start, rather than bolted on at the end. You will be expected to code in the languages used across our modern tech stack and maintain a strong grasp of API, performance, security, and accessibility testing. Key Responsibilities Framework Development: Design, build, and maintain automated test frameworks covering functional, regression, API, integration, performance, and security testing. Pipeline Integration: Embed automated tests within CI/CD pipelines (e.g., Jenkins or GitHub Actions) to ensure continuous quality feedback and facilitate fast build cycles. Strategy & Planning: Define and own the test strategy for assigned digital products, ensuring appropriate test coverage across unit, integration, system, performance, and accessibility layers. Specialised Testing: Lead API testing for REST/GraphQL services using tools like RestAssured, Postman, or Karate, and execute performance/load testing using Gatling, k6, or JMeter to validate services at a massive national scale. Accessibility & Security: Conduct rigorous accessibility testing aligned to WCAG 2.2 standards using automated tools (such as axe core or Pa11y) and manual screen reader testing, while embedding security testing practices (e.g., OWASP Top 10, DAST with OWASP ZAP or Burp Suite) within the delivery pipeline in support of secure by design principles. Shift Left Quality: Collaborate closely with software engineers, architects, and business analysts to define clear acceptance criteria, review code for testability, and champion shift left quality practices. Environment & Defect Management: Maintain test environments and test data strategies, manage the defect lifecycle, and produce clear quality dashboards and reports for the team and portfolio management. Government Service Standards: Support formal government service assessments by providing concrete evidence of test coverage, quality metrics, and accessibility compliance. Requirements Public Sector Delivery: Proven experience acting as an SDET or Senior Test Automation Engineer on large scale, cloud hosted digital or government services. Automation Frameworks: Deep, hands on expertise with modern test automation frameworks such as Selenium, Playwright, Cypress, Cucumber/BDD, RestAssured, or Karate. CI/CD & Cloud: Extensive experience integrating automated tests into CI/CD pipelines (e.g., Jenkins, GitHub Actions) and interpreting pipeline quality gates, alongside experience with AWS hosted environments and cloud based test execution. Performance & API Testing: Demonstrable experience in API testing (REST/GraphQL) and executing performance testing at a high volume scale. Accessibility & Security Compliance: Strong knowledge of WCAG 2.2 accessibility testing standards and relevant tooling (such as NVDA or JAWS), as well as familiarity with secure testing practices, vulnerability scanning, and DAST tools. Tech Stack Familiarity: Experience testing Java SpringBoot, Ruby on Rails, and AWS Lambda serverless patterns. Certifications: Recognised professional qualifications such as the ISTQB Advanced Level Test Automation Engineer certification. Advanced Testing Principles: Experience with contract testing (e.g., Pact) for microservices and API ecosystems, as well as familiarity with chaos engineering and site reliability testing principles. Tooling Proficiency: Advanced skills in test management tooling such as Jira, Xray, or Zephyr. Government Assessments: Prior experience working in GDS assessed services and actively contributing to service assessment evidence packs within comparable high volume government digital environments. What we offer Competitive salary with annual review Company pension scheme Generous annual leave entitlement Critical illness cover Relocation support of £3,000 - £5,000 Visa sponsorship for eligible candidates Access to learning and development resources A supportive, inclusive working environment Scrumconnect creates next generation digital services through an award winning blend of design, engineering, and artificial intelligence expertise. We specialise in modern software development, data solutions, testing, and strategic design to enable faster delivery, better user experiences, and lower operational costs across the public sector. Our delivery approach is driven by our core values: collaboration, creating value early, integrity, and commitment. We believe we are stronger together, tackling complex problems as one unified team to build intelligent, secure, and scalable platforms. With a proven track record of transforming critical digital services for major government departments including the DVLA, DWP, and HM Courts and Tribunals Service, we focus on turning information into insight, automating complexity, and delivering measurable impact for citizens. How to Apply Please submit your CV to or apply directly through this listing. For an informal conversation about the role, contact Name at contact details . Scrumconnect Consulting is an equal opportunities employer. We are committed to building a diverse and inclusive team and welcome applications from all backgrounds, regardless of age, disability, gender, ethnicity, religion, or sexual orientation.

Embrace this pivotal role as an essential member of a high performing team dedicated to reaching new heights in data engineering. Your contributions will be instrumental in shaping the future of one of the world's largest and most influential companies. As a Senior Lead Data Engineer at JPMorganChase within the Behavioral Insights Team, you will turn operational signals and platform data into actionable insights that improve reliability, risk/control health, and delivery efficiency. You will own the reliability and performance of reporting and analytics pipelines, define and govern SLIs/SLOs and error budgets, and automate data products (dashboards, scheduled reporting, and near-real-time views) that serve engineering, risk, and business stakeholders. You will also manage and mentor team members and uphold rigorous data management practices and controls. Job Responsibilities Change and release health - Track deployment frequency, change failure rate, lead time, and rollbacks; correlate changes to incidents/SLO impact; influence safer release practices. Capacity, performance, and scalability - Produce capacity forecasts, headroom and hotspot reporting; partner with engineering to validate scaling policies and performance budgets. FinOps and cost observability - Report spend by service/team/env; track unit economics (e.g., cost per transaction), rightsizing opportunities, commitment utilization, and tag compliance; highlight reliability-cost tradeoffs. Risk and controls compliance - Evidence guardrail adherence and control health (backup/restore posture, DR testing, patch/vulnerability closure, config drift); ensure metrics lineage and audit readiness. Uses enterprise-authorized AI capabilities within the work environment to accelerate data platform and design analysis and technical documentation, validating outputs and handling data according to sensitivity and security requirements. Data risk and controls - Monitor adherence to risk and control guidelines for data access and use. Data quality, reliability, and lineage - Define data contracts for telemetry sources; implement validation, anomaly detection, and reconciliation; document definitions (e.g., formulas, thresholds) and end to end data lineage from raw signals to KPIs and insights. Automation and self service - Deliver automated pipelines for scheduled reporting and near real time dashboards; enable RBAC controlled self service for teams and leadership. Stakeholder cadences and communication - Lead weekly reliability reviews and monthly leadership reviews; maintain action logs to closure; elevate risks early with data driven recommendations. People leadership - oversee workflow, prioritization, and delivery for junior data engineers and visualization researchers; mentor and support upskilling and career development. Applies reuse first, AI assisted practices within delivery and operational routines (e.g., validation automation and access control review support), ensuring traceability/auditability and alignment to resiliency and security expectations. Required qualifications, capabilities, and skills Formal training or certification on data engineering concepts and advanced applied experience in data analytics/BI/ operations analytics. Strong SQL skills (CTEs, window functions, performance aware querying). Demonstrated experience using enterprise-authorized AI capabilities within the work environment to support data engineering workflows with strong validation habits and awareness of data sensitivity. Ability to review and validate AI assisted outputs (e.g., model and design summaries or validation recommendations) before use, escalating when uncertain and following data handling requirements. Hands on experience building dashboards in Tableau/Power BI/Looker (or similar). Experience working with ITSM tools (e.g., ServiceNow or similar) and understanding incident/change/problem concepts. Strong data storytelling skills; ability to translate operational findings into practical improvements. Preferred qualifications Experience working with AWS and core concepts (accounts, regions, IAM, networking, compute/storage, tagging). Python for analytics/automation (e.g., pandas) and building repeatable pipelines. Experience with cloud data platforms (e.g., Snowflake/Redshift/BigQuery) and ELT tooling (e.g., dbt).

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.

Herbert Smith Freehills Kramer is a world-leading global law firm, where our ambition is to help you achieve your goals. Exceptional client service and the pursuit of excellence are at our core. We invest in and care about our client relationships, which is why so many are longstanding. We We enjoy breaking new ground, as we have for over 170 years. As a fully integrated transatlantic and transpacific firm, we are where you need us to be. Our footprint is extensive and committed across the world's largest markets, key financial centres and major growth hubs. At our best tackling complexity and navigating change, we work alongside you on demanding litigation, exacting regulatory work and complex public and private market transactions. We are recognised as leading in these areas. We are immersed in the sectors and challenges that impact you. We are recognised as standing apart in energy, infrastructure and resources. And we're focused on areas of growth that affect every business across the world. All of this is achieved by supporting the growth of our people, who help us deliver on our ambition - which is to help you achieve yours. Herbert Smith Freehills Kramer: Your goals. Our ambition The Opportunity The Performance & Observability Engineer plays a critical role in ensuring system reliability, scalability, and visibility across the entire technology stack. This role focuses on transitioning from traditional monitoring to full observability, enabling deep performance insights, real-time issue detection, and proactive optimisation. The ideal candidate will have expertise in performance engineering, distributed tracing, logging, metrics, and automation, driving improvements across cloud, infrastructure, and application layers. Primary Responsibilities Performance Engineering & Optimisation Analyse application, database, and infrastructure performance to identify bottlenecks and inefficiencies. Develop performance benchmarks and SLIs to measure service responsiveness and stability. Collaborate with SRE and DevOps teams to optimise CI/CD pipelines for performance improvements. Collaborate with wider IT teams to Implement caching strategies, query optimisation, and autoscaling to enhance system efficiency. Observability Platform Development & Implementation Design and implement end-to-end observability frameworks covering metrics, logs, traces, and events. Instrument services using existing tools (eg: Nexthink) to improve visibility. Enable distributed tracing across microservices to enhance root cause analysis and performance debugging. Standardise logging and telemetry collection across infrastructure, applications, and cloud services. Define best practices and consistent approach across development teams to improve monitoring consistency. Maturing from Monitoring to Full Observability Transition from basic alerting to proactive insights, leveraging AI-driven anomaly detection. Ensure comprehensive observability across frontend, backend, databases, cloud infrastructure, and networking. Implement Service Level Indicators (SLIs), Service Level Objectives (SLOs), and Error Budgets to track system health. Automate root cause analysis and incident detection through advanced monitoring techniques. Incident Response & Reliability Engineering Reduce Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) through improved observability. Integrate monitoring and alerting tools with incident response platforms (ie: ServiceNow). Develop self-healing and auto-remediation mechanisms to reduce operational toil. Improve alerting strategies by reducing false positives and improving signal-to-noise ratio. Governance, Compliance & Reporting Define observability best practices and governance models to ensure adoption across teams. Ensure log retention, security, and compliance with standards (e.g., GDPR, SOC 2, PCI DSS). Develop executive dashboards and reporting frameworks to showcase reliability and performance trends. Key Performance Indicators Maturity of Observability Capabilities % of Services with Full Observability Coverage - Ensure visibility across the entire stack. Instrumentation Completeness (%) - Track the number of services fully instrumented with logs, metrics, and traces. Service-Level Indicator (SLI) Coverage - Ensure key performance indicators are defined and tracked. Reduction in Blind Spots (%) - Improve monitoring coverage across all components. Performance & Reliability Metrics Application Response Time (P99, P95, P50 Latency) - Improve service performance. System Throughput & Load Handling (%) - Increase service efficiency and scalability. Reduction in Performance Bottlenecks (%) - Optimise infrastructure and application layers. Successful Load Test Pass Rate (%) - Ensure applications meet expected performance benchmarks. Incident Management & Operational Efficiency Mean Time to Detect (MTTD) and Mean Time to Resolve (MTTR) - Reduce system downtime and recovery time. Reduction in Noisy Alerts (%) - Improve alert relevance and reduce false positives. Proactive Issue Detection (%) - Increase the percentage of incidents identified before user impact. Error Budget Utilization (%) - Ensure system reliability is balanced with innovation velocity. Automation & AI-Driven Observability (AIOps) % of Issues Resolved via Automated Remediation - Reduce manual intervention in incident response. Reduction in On-Call Burden (%) - Minimize alerts requiring human intervention. Anomaly Detection Accuracy (%) - Improve proactive detection of performance issues. Business & Customer Impact Customer Experience Metrics (Latency, Errors, Uptime) - Ensure observability drives tangible business improvements. Downtime Reduction (%) - Improve service availability and reliability. Cost Optimisation from Performance & Observability (%) - Reduce operational inefficiencies and cloud expenses. Qualifications, Skills and Experience Technical Skills Experience in using and maintaining Observability & APM Tools - Grafana experience is essential Experience of using KQL Performance Testing & Load Testing Cloud & Infrastructure Monitoring - AWS CloudWatch, Azure Monitor, GCP Operations Suite, Kubernetes Observability. Knowledge of Log Aggregation & Analysis - eg: Grafana Loki, Splunk etc Automation & Scripting - PowerAutomate, Terraform, PowerShell Incident Response & ITSM - ServiceNow. Sound understanding of firm's applications, systems and tools across technology stack DevOps experience is desirable Nexthink experience is desirable Soft Skills & Collaboration Strong problem-solving and root cause analysis skills. Ability to translate observability insights into business impact for stakeholders. A continuous improvement mindset, focused on reducing toil and improving efficiency. Experience working in a DevOps, SRE, or Platform Engineering environment. Team Information Technology Working Pattern Full time Location London Contract Permanent Diversity & Inclusion We are committed to attracting people from all backgrounds and creating a respectful and inclusive culture where everyone thrives. We see this as essential to our success, including our ability to innovate and achieve sustained high performance. This is a key part of our Values-Human, Bold, and Outstanding. At Herbert Smith Freehills Kramer, we align your growth and ambition with ours. We invest in your personal and professional growth and support you to achieve your ambitions. And you share responsibility for playing a part in delivering the firm's growth and ambition too. A leading global law firm, with over 6,000 people, we are in the world's largest markets, key financial centres and major growth hubs. We're recognised leaders in demanding contentious matters, exacting regulatory work and complex public and private transactions. We're immersed in the many challenges facing our clients. We're invested and resourceful. We understand the part technology and digitalisation play in the delivery of legal services. We want to make a positive impact wherever in the world we operate. You'll have the opportunity to engage with this with an open mind and curiosity. We are known for our diverse perspectives and renowned for our culture. Being human, bold and outstanding are more than our values: you'll discover they are our lived experience. And by being ambitious for your growth and ours, we'll achieve our goals together. Herbert Smith Freehills Kramer: Your growth. Our ambition.

Data Engineering Lead - Value & Analytics Location: London or Edinburgh Working pattern: Hybrid working Start date: ASAP Employment type: Permanent Salary: £38,000 - £46,000 (+ £3,300 London Weighting) Level: Senior The Opportunity A leading international organisation specialising in education, cultural relations and global collaboration is looking for a Data Engineering Lead to join its Value Management function. You will build the technical infrastructure that provides visibility of portfolio performance, strategic value and benefits realisation across a complex global organisation. Taking ownership of the data engineering and analytics capabilities behind the organisation's Value Dashboard, you will integrate financial, project and operational information into a consistent and automated view of performance. Working with senior stakeholders across Digital and Technology, Finance, Portfolio Management and executive leadership, you will turn fragmented data into reliable evidence that supports investment, prioritisation and resource decisions. The Role You will provide the technical engine for the Value Management Office, designing and maintaining the pipelines, models and dashboards used to track portfolio performance, benefits realisation and strategic return on investment. While portfolio and strategy teams define what value should be measured, you will own how the information is captured, integrated, automated and presented to leadership and board-level audiences. Key Responsibilities Design and implement automated data pipelines connecting operational, financial and project management systems, including Jira, Azure DevOps and SAP Build and maintain executive dashboards using Power BI, Microsoft Fabric, Tableau or similar tools Visualise objectives, OKRs, KPIs, benefits and actual versus forecast return on investment Develop scalable data models that connect portfolio activity and project outputs to strategic objectives Create a trusted single source of truth for prioritisation, investment decisions and resource allocation Engineer automated alerts and reporting to identify declining value or performance Translate business-case and benefits metrics into reliable technical data models Manage the analytics engineering lifecycle from ingestion and ETL or ELT through to front-end visualisation Define technical standards for value-tracking tools, data models and performance analytics Ensure leadership reporting is accurate, auditable, secure and compliant with governance requirements Promote data transparency and access to trusted performance information Connect information from fragmented business units and systems while maintaining consistent definitions and metadata Work with Portfolio, Product and Finance teams to improve the quality and automation of value reporting Design solutions that scale as organisational priorities, portfolio structures and reporting requirements change Maintain documentation covering data lineage, models, interfaces, controls and reporting standards Essential Experience Strong experience in data modelling, solution design, metadata management, coding, testing and delivering data engineering solutions Advanced Power BI and/or Microsoft Fabric experience creating executive-level dashboards Experience with ETL or ELT tools, scripting, data warehouses and data lakes Experience integrating fragmented data from operational, financial and project management systems Experience supporting major digital transformation or change programmes across multiple technology domains Strong cloud knowledge across Azure, AWS, SaaS, IaaS or PaaS environments Understanding of cyber security, data governance and regulatory requirements Strong business systems analysis skills and the ability to connect technical data to financial and strategic value Ability to present complex data through intuitive dashboards for non-technical senior stakeholders Excellent written and verbal communication skills Fluency in English Desirable Experience Experience within a Value Management Office, PMO or strategy-led data function Experience in financial modelling, benefits realisation or commercial performance analytics Previous line management experience Experience within a large, international or highly complex organisation Microsoft Fabric, Power BI, Tableau, data engineering or related professional certification Degree or equivalent experience in Computer Science, Information Technology, Data Engineering or a related discipline Experience designing solutions in complex environments where data is distributed across multiple business units Ability to lead technical discussions, challenge assumptions and recommend pragmatic engineering approaches Important Information Applicants must be a UK resident. Applicants must have the unrestricted right to work in the UK. No visa sponsorship is available for this role. This position is offered on a hybrid basis, with no fully remote option. A regular physical presence in the office is required for the success of the role. The exact hybrid working pattern may vary depending on the selected office location. Equal Opportunity Employer. All qualified applicants will receive consideration.

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

We don't just believe in better. We make it happen. Better content. Better products. And better careers. Working in Tech, Product or Data at Sky is about building the next and the new. From broadband to broadcast, streaming to mobile, Sky Stream to Sky Glass, we never stand still. We optimise and innovate. We turn big ideas into the products, content and services millions of people love. And we do it all right here at Sky. Role/Team overview Apps Integration provide essential technical development and support functions to internal and external stakeholders in the ever-increasing world of Apps. As a Principal CI/CD & Automation Engineer, you will lead the design and implementation of CI/CD pipelines and automated testing strategies for streaming and web applications. You will play a critical role in building a new function within the team, driving best practices, and enabling scalable, high-quality software delivery. You will be expected to bring deep expertise, operate autonomously, and influence both technical and operational direction. What you'll do Lead the design, implementation and continuous improvement of CI/CD pipelines across web applications. Define and deliver end-to-end automated testing strategies covering UI, API, integration and performance testing. Develop scalable automation frameworks and advanced Python-based automation solutions. Embed testing within CI/CD pipelines to maintain quality gates and support reliable software releases. Create dashboards and reporting solutions to track quality metrics, test coverage and pipeline performance. Analyse test and pipeline results, providing actionable insights to stakeholders to drive quality improvements. Partner with engineering, product and cross-functional teams across multiple territories to promote DevOps, testing and automation best practices. Mentor junior engineers and play a key role in establishing and growing a new automation and quality engineering function. What you'll bring Strong Linux expertise, including containers, scripting, version control, branching strategies, release management, and troubleshooting complex automation and pipeline issues. Proven experience designing, building and leading CI/CD implementations in production environments using tools such as Jenkins, GitHub Actions, GitLab CI and Azure DevOps. Advanced Python scripting skills, with additional programming languages considered advantageous. Strong experience delivering test automation for web applications at scale using modern frameworks including Playwright, Cypress and Selenium. Deep understanding of testing strategies across unit, integration, system and end-to-end (E2E) testing. Experience designing and developing reporting dashboards and visualisation solutions using tools such as Grafana, Kibana, Power BI or custom-built platforms. Desirable skills and experience: Experience working within streaming, video platform or other large-scale web environments. Knowledge of cloud and container technologies, including AWS, Azure, GCP, Docker and Kubernetes. Expertise in API and performance testing, with experience implementing AI-driven testing and integrating AI/ML into QA practices. Leadership experience, including guiding teams to deliver testing solutions, collaborating across multiple teams or territories, and using monitoring and troubleshooting tools to diagnose complex issues. Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here's a taster: Free Sky package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcarewith mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 2 days in the office per week Your office base - Osterley Our Sky Group HQ. Equipped with state-of-the-art technology and workspaces, there's plenty of space to see your big ideas come to life. Here you'll find 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley, Gunnersbury and Ealing Broadway stations. Plus there's free onsite parking available for cars, motorbikes and bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates. We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.

Our Mission At Palo Alto Networks , we're united by a shared mission-to protect our digital way of life. We thrive at the intersection of innovation and impact, solving real-world problems with cutting-edge technology and bold thinking. Here, everyone has a voice, and every idea counts. If you're ready to do the most meaningful work of your career alongside people who are just as passionate as you are, you're in the right place. Who We Are In order to be the cybersecurity partner of choice, we must trailblaze the path and shape the future of our industry. This is something our employees work at each day and is defined by our values: Disruption, Collaboration, Execution, Integrity, and Inclusion. We weave AI into the fabric of everything we do and use it to augment the impact every individual can have. If you are passionate about solving real-world problems and ideating beside the best and the brightest, we invite you to join us! We believe collaboration thrives in person. That's why most of our teams work from the office full time, with flexibility when it's needed. This model supports real-time problem-solving, stronger relationships, and the kind of precision that drives great outcomes. Job Summary Our team builds and provides Idira Secure Workload Access solution. The team's mission is to solve workload identity and authentication problems our customers face, and to secure workload communication while practicing the highest security standards and providing the best possible user experience. We are seeking a Principal DevOps Engineer to treat the software release lifecycle as a first-class product. In this role, you will move beyond basic automation to architect a resilient, high-velocity delivery ecosystem. By engineering the end-to-end lifecycle for diverse components-including SDKs, Terraform providers, installable software, and Cloud services-you will ensure our deployment pipeline is seamless, scalable, and fortified by the highest security standards. You will also be responsible for maintaining and automating the underlying infrastructure to enable the testing. Responsibilities: Design, build and maintain pipelinesfor testing and shipping our software, involving multiple steps and complex dependencies. We want reliable and robust pipelines that will involve testing in multiple environments and across multiple versions, as well as other steps such as security scanning and code signing. Maintain the test infrastructureunderlying these pipelines with devops tooling,involving third-party dependencies, test environments with multiple versions of platforms we support, cloud accounts, and more. Work with the development team tobuild a great developer experience, with ad-hoc environments for manual testing, easily debuggable pipelines and more. Monitor test pipelines and triage issues, passing off to the developers when it's a real problem. Look for underlying issues, and work with developers to troubleshoot as needed. Provide feedbackon the product to make it better for our users as well as making it more testable and debuggable for us. Continuous Improvement:Analyze pipeline bottlenecks and "flaky" deployment steps, relentlessly optimizing for speed without sacrificing security and reliability. Qualifications Extensive experience with DevOps tooling and automation, including Terraform, Jenkins, AWS, GitOps, and other tools. Some experience with programming/scripting. Motivated by providing a great developer experience. A track record of working in a highly collaborative way. Sharp debugging skills, using a methodical approach to isolate issues within a highly complex environment. Experience working with monitoring tools such as datadog, knowing both how to build good dashboards, and also ad-hoc techniques to isolate issues. Preferably experience with supply chain security practices such as vulnerability scanning and code signing. Our Commitment We're trailblazers that dream big, take risks, and challenge cybersecurity's status quo. It's simple: we can't accomplish our mission without diverse teams innovating, together. We are committed to providing reasonable accommodations for all qualified individuals with a disability. If you require assistance or accommodation due to a disability or special need, please contact us at . Palo Alto Networks is an equal opportunity employer. We celebrate diversity in our workplace, and all qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or other legally protected characteristics. All your information will be kept confidential according to EEO guidelines. Is role eligible for Immigration Sponsorship? No. Please note that we will not sponsor applicants for work visas for this position.

Are you passionate about building trusted customer data foundations that power meaningful marketing decisions? Would you like to shape scalable data pipelines and models that improve customer journeys, analytics, and business outcomes? LexisNexis Risk Solutions is the essential partner in the assessment of risk. Within our Business Services vertical, we offer a multitude of solutions focused on helping businesses of all sizes drive higher revenue growth, maximize operational efficiencies, and improve customer experience. Our solutions help our customers solve difficult problems in the areas of Anti-Money Laundering/Counter Terrorist Financing, Identity Authentication & Verification, Fraud and Credit Risk mitigation and Customer Data Management. This role acts as the technical backbone for the Marketing Hub-partnering closely with analytics, MarTech, and digital teams to deliver the pipelines, data models, and governance frameworks that support personalisation, measurement, experimentation, and strategic decision making. The Data Engineer ensures data is not only accurate and compliant but designed for high performance and long term growth. The Data Engineer plays a foundational role in enabling modern, insight driven marketing by building and maintaining the data infrastructure that powers the organisation's customer intelligence ecosystem. Working across the Customer Data Platform, journey orchestration capability, and advanced analytics and dashboarding environment, the role ensures that marketing has access to trusted, well structured, and scalable data. Responsibilities Data Architecture & Pipeline Engineering: Build and maintain reliable pipelines integrating customer, campaign, and operational data into the CDP, ensuring accuracy and readiness for analysis. Marketing Data Model Design: Develop scalable models supporting segmentation, lifecycle analytics, attribution, and KPI frameworks. CDP Enablement & Identity Management: Partner with MarTech and Analytics to improve identity resolution, consent logic, and data quality within the CDP. Journey Orchestration Data Readiness: Enable event streams, triggers, and monitoring to support accurate, timely customer journeys. Analytics & Dashboarding Enablement: Provide structured datasets and semantic layers for reporting and dashboards, aligned with KPI frameworks. Data Governance & Quality Assurance: Maintain data quality, lineage, and compliance with GDPR and PII standards. Collaboration & Strategic Influence: Work closely with the Senior Marketing Analyst to align on priorities, translating technical concepts into business insights. Operational Excellence & Standards: Ensure scalable, stable data operations using best practices in automation, observability, and continuous improvement. Requirements Advanced SQL, ETL/ELT frameworks, and cloud data platforms such as Azure, AWS, or GCP. Data modelling and pipeline orchestration using tools such as Airflow, Data Factory, dbt, or similar. Integrate CDP data sources across digital, CRM, transactional, and behavioural data; support identity resolution, consent handling, audience activation, journey events, trigger logic, and behavioural signals. Build data marts and semantic layers for dashboarding and BI tools such as Power BI or Tableau; structure datasets optimised for KPI frameworks, attribution, funnel, and lifecycle analytics. Apply data quality frameworks, lineage, cataloguing, and GDPR/PII compliance practices. Design secure data pipelines with monitoring, alerting, and SLA/SLO management. Translate business and marketing needs into clear technical specifications, communicating technical topics clearly to non technical stakeholders. Partner with analytics, marketing ops, and MarTech teams to own scalable, reliable, trusted customer data solutions. We offer country-specific benefits that support your well being and happiness. We are an equal opportunity employer: qualified applicants are considered for and treated during employment without regard to race, color, creed, religion, sex, national origin, citizenship status, disability status, protected veteran status, age, marital status, sexual orientation, gender identity, genetic information, or any other characteristic protected by law. For more information, visit and .

Application Deadline: September 1st, 11:59pm EST Program Summary - Data Science & Technology Internship Company Overview the company is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in, and develop, select commodity infrastructure assets. Our strategically integrated platform has generated strong risk-adjusted returns for our investors since our formation. Position Overview CCI is developing a leading-edge analytics platform, as staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail-oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our London office This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You'll collaborate closely with other Software Engineer's, Data Scientist's, and Commercial end users, contributing to our front office platform through hands-on development projects using Python, cloud technologies (AWS), APIs, and Snowflake. Responsibilities Contribute to the development of front office software tools that support real-time trading, market data analytics, and visualization. Work with the commercial trading team to optimize and re-engineer pricing models, decision tools, and trading workflows. Build and enhance Python-based microservices and APIs for internal data access and operations automation. Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics. Participate in cloud-native application development using AWS services, including Kubernetes and Kafka. Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines). Collaborate with the Data Science team to help integrate ML-driven analytics into front office workflows. Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Management Information Systems, or related technical field of study. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.) Familiarity with version control tools (e.g., Git) and software development best practices. Strong problem-solving abilities and an eagerness to learn about financial markets and trading systems. Excellent communication skills and ability to work in a fast-paced, collaborative environment.

Program Summary - Data Science & Technology Internship Application Deadline: September 1st, 11:59pm EST Company Overview Castleton Commodities International is a leading global energy commodities merchant and infrastructure asset investor. As a trader, CCI deploys capital on a proprietary basis in the physical and financial commodity markets, providing the Company with market insights and access. As a strategic investor and developer, CCI leverages its market expertise, operations capabilities, and industry knowledge to invest in and develop select commodity infrastructure assets. Our strategically integrated platform has generated strong risk adjusted returns for our investors since its formation. Position Overview CCI is developing a leading edge analytics platform, and staying at the forefront of data management and analytics is essential to our investment strategy. We are looking for motivated and detail oriented Front Office Software Engineering Interns to join our Global Data Science & Technology team in our London office. This internship is ideal for technically skilled students with a strong interest in building quality software that directly impacts trading, analytics, and investment workflows. You will collaborate closely with other Software Engineers, Data Scientists, and commercial end users, contributing to our front office platform through hands on development projects using Python, cloud technologies (AWS), APIs, and Snowflake. Responsibilities Contribute to the development of front office software tools that support real time trading, market data analytics, and visualization. Work with the commercial trading team to optimize and re engineer pricing models, decision tools, and trading workflows. Build and enhance Python based microservices and APIs for internal data access and operations automation. Assist in building data visualization dashboards using libraries such as Streamlit, integrating commercial KPIs, price curves, and supply/demand analytics. Participate in cloud native application development using AWS services, including Kubernetes and Kafka. Support automation of deployment processes using modern DevOps tools (e.g., Git, Docker, Helm, CI/CD pipelines). Collaborate with the Data Science team to help integrate ML driven analytics into front office workflows. Qualifications Currently pursuing a Bachelor's or Master's degree in Computer Science, Engineering, Management Information Systems, or related technical field of study. Strong programming experience in Python (preferred libraries: Pandas, NumPy, etc.). Familiarity with version control tools (e.g., Git) and software development best practices. Strong problem solving abilities and an eagerness to learn about financial markets and trading systems. Excellent communication skills and ability to work in a fast paced, collaborative environment.

Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.

Senior Data Engineer - Palantir Foundry As a Senior Data Engineer, you'll play a key role in building a modern, large scale data platform, designing reliable and scalable pipelines that support critical business outcomes. Working closely with data leaders and delivery teams, you'll shape engineering standards, improve data quality, and enable trusted insights. Drive measurable change by shaping and delivering large scale data products and platforms using Palantir Foundry and cloud native tooling. Engineer scalable pipelines, transform complex datasets into operational decision making assets. Partner with clients to unlock efficiency and insight across critical programmes. Build reusable patterns, improve observability and accelerate client roadmaps for modern data adoption. Location: Swansea, Wales - hybrid (on site presence two days per week). UK security clearance required. Senior Data Engineer - Healthcare In this role you'll design, build and optimise data platforms that underpin critical national services. The focus is on AWS, Databricks and Python to deliver high impact solutions that improve outcomes and drive innovation across the sector. Collaborate with Healthcare stakeholders to define requirements and translate them into data solutions. Build and maintain scalable data pipelines using AWS services and Apache Spark on Databricks. Ensure data quality, governance and security across the data ecosystem. Enable data driven decision making for national healthcare services. Location: Leeds, United Kingdom - hybrid. UK security clearance required. Senior Data Analyst / Analytics Engineer Design and deliver high quality dashboards using Power BI, Tableau, SQL, Excel and related technologies. Partner with business stakeholders to gather requirements and translate them into effective analytics solutions. Build and maintain robust data models, ensuring data quality, accuracy and adherence to governance standards. Drive reporting automation and continuous improvement of analytics frameworks. Present insights, trends and recommendations to senior leadership and cross functional teams. Champion best practices across data modelling, visualisation and reporting standards. 5+ years of experience in Data Analytics, Analytics Engineering, Business Intelligence or related disciplines. Advanced proficiency in Power BI and SQL. Extensive experience in data modelling, data transformation and dashboard development. Proven stakeholder management skills and ability to gather requirements effectively. Excellent communication and data storytelling skills. Desirable: Experience with Power Automate, Azure, Tableau or Python; Power BI and/or Azure certifications. Location: United Kingdom - hybrid.