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At UK Tote Group, we're on a mission to reimagine the future of pool betting - building a modern, data-driven betting experience for millions of racing fans. Our technology powers real-time insights, supports responsible gaming, and helps us deliver trusted, customer-first products across the UK and international markets. As a Data Engineer, you'll play a key role in designing, building, and optimising the Databricks-based Lakehouse that drives real-time data, analytics, and reporting across the Tote. You'll build streaming and batch data pipelines on AWS using Apache Spark Structured Streaming, Delta Live Tables (DLT), and Kafka (MSK), ensuring our business teams across Liquidity, Product, Marketing, Finance, and Compliance have fast, trusted data at their fingertips. This is a hands on engineering role where you'll collaborate across engineering, BI, and product teams to deliver scalable, secure, and governed data solutions under Unity Catalogue. What you'll be doing: You'll design, build, and optimise data pipelines using Databricks, Spark Structured Streaming, and Delta Live Tables to ensure data flows efficiently and reliably across the organisation. By applying the Medallion Architecture, you'll develop robust Bronze, Silver, and Gold Delta tables that serve as the foundation for analytics, APIs, and decision making tools. You'll integrate data from Kafka (MSK), AWS S3, and external APIs, ensuring seamless ingestion into the Lakehouse. You'll work closely with BI teams to enable high performance Power BI dashboards through Databricks SQL Warehouses, making data more accessible and actionable across the business. You'll ensure that all data is governed, discoverable, and secure under Unity Catalog, and you'll contribute to continuous delivery by implementing and maintaining CI/CD pipelines for Databricks jobs, notebooks, and DLT workflows. Monitoring, tuning, and troubleshooting pipeline performance will also be part of your day to day, using Databricks metrics, CloudWatch, and AWS Cost Explorer to ensure optimal performance and efficiency. You'll document data models, schemas, and lineage, maintaining a clear understanding of data flows and dependencies. Alongside Compliance and Technology colleagues, you'll help ensure the platform remains fully compliant with GDPR and Gambling Commission regulations. Finally, you'll champion best practices in data platform design, observability, and cost management, helping shape the future of the Tote's data ecosystem. What we are looking for: We're looking for an experienced Data Engineer with proven expertise in building pipelines in Databricks and a strong grasp of Apache Spark, whether in PySpark or Scala, including Structured Streaming. You should have experience with Kafka (MSK) and real time data ingestion, as well as a deep understanding of Delta Lake, Delta Live Tables, and the Medallion Architecture. A strong AWS background is important, particularly with services such as S3, Glue, Lambda, Batch, and IAM. You'll need to be proficient in Python and SQL for data engineering and analytics, and comfortable implementing CI/CD pipelines using tools such as GitHub Actions, Azure DevOps, or Jenkins. Solid experience with Git, version control, and Spark performance tuning will help you succeed in this role. Most importantly, you'll bring a collaborative, proactive attitude and an ability to balance platform reliability with the pace of delivery. It would be an advantage if you have experience working with streaming architectures or data governance frameworks like Unity Catalog. Familiarity with Power BI, Looker, or Tableau is desirable, as is exposure to Databricks REST APIs, Airflow, or Databricks Workflows. Knowledge of infrastructure as code tools such as Terraform, AWS networking fundamentals, and cost management techniques using Photon and DBU monitoring will also be beneficial. You'll be analytical, detail oriented, and motivated by solving complex data challenges. A self starter by nature, you take ownership of your work and enjoy designing end to end solutions that deliver measurable value. You're a great communicator who can explain data concepts clearly to both technical and non technical colleagues, and you have a passion for automation, efficiency, and data quality. Most of all, you're curious and committed to continuous learning within a fast evolving cloud data landscape. What's in it for you: At the Tote you can expect a friendly working environment with a strong sense of teamwork and pride in what we do. Within this role you'll develop a broad range of skills and experiences that can enhance your career at the Tote. Additionally, our company benefits package includes; Competitive Basic Salary Discretionary Bonus Scheme Company Shares Option Plan Contributory pension scheme Life insurance (4 x basic salary) Simply Health Cash Plan Holiday entitlement (33 days inclusive of bank holidays) Study Support and opportunity for progression and development Confidential 24/7 365 employee assistance helpline Agile and collaborative office environment with free parking, fruit, biscuits, and drinks Regular social events, charity events and volunteering opportunities

Job Opportunity Technical Specialist - Detection, Engineering and Automation Department FIL - Global Cybersecurity Operations Location: Kingswood, Surrey Reports To: Senior Manager - Detection, Engineering and Automation Level: 4 Job Type: Permanent Application Deadline: 31 July 2026 About the Team Technology function across FIL is responsible for all global aspects of Technology, Digital, Cybersecurity and Innovation. Fidelity is a value driven, customer obsessed organization and in Technology we play a direct role in helping clients with one of the most important aspects of their lives - their financial well being. Within the Technology function is GCIS (Global Cyber & Information Security) that operates enterprise security services and controls. These are designed to mitigate Cyber and Information Security risks ensuring that Fidelity's business operates securely. The Technical Cybersecurity teams monitor both the internal and external threat environment, respond to security alerts and events in close to real time, and provide security assurance and access management services across the enterprise technology and business environment. Our global innovative Cyber Defence Operations team sits within GCIS and provides proactive, cutting edge solutions to protect clients' digital assets and infrastructure against evolving cyber threats. The Detection Engineering & Automation team within Global Cybersecurity Operations focuses on the development of automated detection capabilities to reduce manual effort of the Global Cybersecurity Operations team, freeing up time to focus on real cyber threats. They ensure that security controls are performing effectively and efficiently, feeding into automation technologies and allowing the organisation to make intelligent correlated decisions. About Your Role The Detection Engineering & Automation Specialist plays a critical hands on role in strengthening the Global Cybersecurity Operations capability by building, maintaining and enhancing the security tooling that underpins our detection and response functions. The ideal candidate will work deeply across technologies including SIEM, SOAR, EDR, email security and cloud security platforms, contributing engineering expertise to ensure these controls operate effectively and deliver high quality telemetry. You will be responsible for developing and improving detections, building CI/CD pipelines, onboarding new log sources, implementing automation and supporting technical investigations during security incidents. Key Responsibilities Build, maintain and enhance security detections using Sentinel as Code, ensuring accurate and high quality analytics. Develop and maintain CI/CD pipelines to automate deployment of detections, automation playbooks and configuration updates. Engineer and optimise SOAR automation and integrations to reduce manual analyst workload and streamline response processes. Onboard high value security logs into the SIEM from the backlog, ensuring quality, normalisation and integration into detection logic. Support SOC and CIRT during incidents by providing engineering expertise, rapid telemetry onboarding, and timely detection and automation enhancements. Maintain and improve security controls across SIEM, SOAR, EDR, email security and network detection tooling. Assess and implement tool updates, new features and product enhancements, ensuring their secure and effective adoption across the environment. Manage tooling related incidents with vendors and internal teams, ensuring business impact is known, communicated and minimised. Work with global engineering teams to deliver high priority backlog items and operational improvements. Collaborate with front line analysts to identify quick win improvements for detections, automation and tooling integrations. Produce clear documentation, reporting and quality checks to support engineering delivery and continuous improvement. Experience and Skills Required At least 4 years of experience working in a Detection Engineering function, or a combination of Detection Engineering and hands on engineering responsibilities within a SOC environment. Experience focusing on automation, engineering maturity and continuous improvement within security operations. Experience managing and maintaining security tools within a global environment, preferably within Financial Services. Hands on experience developing detections in Microsoft Sentinel, including strong KQL and detection as code practices. Proven ability to build and maintain CI/CD pipelines (Azure DevOps, GitHub Actions) for detection, automation and configuration deployments. Experience onboarding and operationalising new log sources into a SIEM, ensuring data quality, enrichment and alignment with detection logic. Practical experience engineering SIEM, SOAR or EDR platforms and improving their operational effectiveness. Experience supporting security incidents from an engineering perspective by enabling telemetry, building detections and enhancing automation under time pressure. Strong experience with cloud platforms, particularly AWS and Azure, including their native security telemetry and integrations. Experience with email security solutions (such as Proofpoint, Microsoft Defender for Office 365, or equivalent), with a solid understanding of how email telemetry can be used in detection engineering. Strong scripting skills (PowerShell, Python, Bash or JavaScript) for automation, integration and tooling improvements. Familiarity with YAML/JSON, IaC principles and modern automation frameworks. Knowledge of Azure and/or AWS cloud environments and their native security telemetry. Strong communication skills with the ability to take technical feedback from SOC/CIRT and translate it into meaningful engineering improvements. Analytical mindset with a passion for cybersecurity, process improvement and challenging inefficient workflows. Preferred Certifications Microsoft SC 200 AZ 500 AWS Security Specialty CySA+ SSCP OSCP Benefits We'll offer a comprehensive benefits package to support your wellbeing and development. We also provide flexible working arrangements to help you find a balance that works for everyone. Regulatory Information As an international financial services organisation, we are in scope of international regulations in the way that we carry out our work. This position is involved in work that is regulated by the FCA and/or the PRA and their Individual Conduct Rules (COCON) apply to it, along with any other regulation. We provide training on COCON and how it affects our employees. More information about COCON can be found in the Employment Handbook.

Vanquis is seeking an Application Support Analyst to support key platforms including Salesforce, Genesys, and MuleSoft. In this role, you will investigate complex issues, perform root cause analysis, and work with engineering teams to improve system reliability. The ideal candidate will have experience in application support and integration systems, managing incidents using ITSM and Azure DevOps. The position offers a hybrid working pattern and a variety of employee benefits, including enhanced family leave and financial wellbeing support.

Job Description As a Supervisor, Service Management - Observability within the GTIO Service Management Office, you will play a critical role in supporting many individuals within global & market accessing and using the observability platforms which support the availability, reliability, and scalability of our customer and store systems. Success in this role will require excellent critical and customer obsessed thinking, the ability to influence and deliver through others, a curious mindset, and an appetite for innovation, together with the ability to engage, mobilise and excite our people and partners around business change. To achieve this, you will work across all departments and be required to act as the 'go to' for Business Change, working closely with the leadership team and subject matter experts to understand and empathise with what people need for success. Global Technology Infrastructure & Operations team (GTIO), where our mission is to deliver modern and relevant technology that supports the way McDonald's works. We provide best in class foundational technology products and services including Global Networking, Cloud, End User Computing, and IT Service Management. It's our goal to always provide an engaging, relevant, and simple experience for our customers. Duties Dashboards & Reporting (Grafana/New Relic) Build and maintain product and service dashboards (incl. user journey and SPOG views). Own KPI / monthly reports and recorded/saved queries; improve panel performance and hygiene. Partner with stakeholders to define meaningful metrics and present results clearly. Data Source & Log Integration (Loki/EC2/Cloud) Configure and maintain data sources (Loki, EC2/Cloud, Prometheus/others). Implement and maintain visualizations from all types of data streams. Troubleshoot ingestion, labeling, and parsing to keep signals clean and actionable. APM/Infra Admin (New Relic) Support account & user management, agent installations, alert setup/disable, and workflow automations. Monitor usage and cost reports; recommend optimizations. Pipelines & Data Hygiene (Cribl) Assist with pipeline scripting for routing, enrichment, filtering, and data movement. Help maintain data streams and document patterns for reuse. Incident & Request Flow (ServiceNow) Triage and update tickets related to observability tools and requests. Contribute to runbooks and ensure incident/alert mappings stay current. Enablement & Best Practices Ramp up new teams on the platform; publish concise best practice guides. Standardise folders, tags, and ownership; improve signal to noise. Skills and Experience Required Experience with Observability/SRE/Platform/DevOps (internships welcome). Essential technical skills on Python, SQL, Javascript. Hands on with at least two of: Grafana, New Relic, Cribl, Loki/LogQL, ServiceNow. Comfortable writing queries (Grafana transformations, LogQL, NRQL basics) and reading JSON/YAML. Familiarity with Cloud Computing concepts, basic Linux understanding, Python and Java Scripting (must) Intermediate level. Data Engineering, data modeling, and transformation are a plus. Clear written communication; able to produce short, practical docs/runbooks. Nice to Have Basics of Kubernetes/Istio signals (logs/metrics/traces). Prometheus/PromQL, CloudWatch, or other Grafana data sources. Experience with workflow automations (Datadog/New Relic/Grafana Alerting) and cost governance. Exposure to data pipelines (Cribl) and log enrichment patterns. Background & Behavioural Requirements A proven track record of managing change effectively across cross functional teams, global and segment structures and matrix organisations. The ability to influence and engage effectively. Strong communications and storytelling experience. Work with energy, empathy and passion and can inspire the same in others. Able to quickly forge genuine and collaborative relationships with stakeholders. Highly collaborative work style with the ability to engage and mobilise teams around common goals. The ability to spot problems and solve them creatively. Curious mind set, never settling for the status quo and advocating for continuous improvement. You seek and act upon feedback and proactively work on your personal and professional development. Qualifications Experience working in an Agile team - industry recognised qualifications is a plus (i.e. Scrum.org). Proficient with Microsoft Office software, Jira, Confluence tools. We are an equal opportunity employer committed to the diversity of our crew members, staff, operators, and suppliers. We promote an inclusive work environment that creates feel good moments for everyone. We do not tolerate inequality, injustice or discrimination of any kind.

Ryan Specialty Corporate Services Limited is seeking an experienced Data Engineer with strong Azure Databricks expertise for a 6-month contract in London. You will develop and deliver a scalable ETL pipeline that transforms raw data into standardised datasets for reporting purposes. Your role involves designing robust data processes, producing technical documentation, and integrating with CI/CD flows using Azure DevOps. Expertise in PySpark and experience in insurance are additional nice-to-haves.

Security Clearance Requires UK Government Security Clearance (SC) or eligibility to undergo SC vetting. Key Responsibilities Support and maintain Azure-based data solutions, including Azure Data Factory pipelines, Azure Databricks, Azure Machine Learning models and endpoints, Power BI dashboards. Monitor and troubleshoot failures in pipelines, jobs, and ML workflows using Azure Monitor, Log Analytics, and custom alerting. Maintain CI/CD pipelines using Azure DevOps or GitHub Actions for ADF, Databricks, and ML model deployments. Develop automation scripts (Python, PowerShell, Bash) to reduce manual intervention. Write, optimize, and troubleshoot SQL queries for data validation, root cause analysis, and report troubleshooting. Support and maintain data warehouse environments such as Azure Synapse Analytics, SQL Server, Azure SQL DB, Snowflake, or BigQuery. Monitor ETL performance, investigate slow-running queries and data load failures. Perform root cause analysis and implement self-healing automation. Provide L2/L3 support aligned with ITIL practices; participate in on-call rotations and critical incident response. Maintain SOPs, runbooks, knowledge base articles, and client documentation. Required Skills and Qualifications Experience with Azure Data Factory, Azure Databricks, Azure Machine Learning, Azure Synapse, SQL Server, and Azure SQL DB. Strong SQL skills for debugging, data validation, and optimization. Proficiency in scripting: Python, PowerShell, Bash. Experience with CI/CD pipelines and automation. Knowledge of Azure Monitor, Log Analytics, and alerting. Experience with ITSM tools such as ServiceNow or Jira. Strong troubleshooting and analytical skills; ability to perform root cause analysis. Excellent documentation and presentation skills. Ability to handle pressure, prioritize in a live support environment. Core business hours (08 30) with rotational on-call support (1 in 4 weeks). Preferred Qualifications Microsoft certifications (DP 900, AZ 900, DP 203). Experience with AKS, Docker, or containerized ML environments. Understanding of data governance and security in cloud environments. Experience with AI Foundry, Gen AI, Fabric. Equal Employment Opportunity All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Avanade is committed to providing veteran employment opportunities to our service men and women.

3rd Line Infrastructure Support Engineer London 12 months £650 per day inside Clearance Required: Active DV Role overview We are looking for a 3rd Line Infrastructure Support Engineer to work with our 3rd Line team and Engineering teams. Your role will involve assisting high profile user community via incident logging application. Based in London you will be provided with legacy infrastructure training. Essential Knowledge and Skills Required: Due to timescale of the project, the ideal candidate must hold active DV clearance Microsoft Windows Server Active Directory and Group Policy Role & Functional based Security Delegation and Layers DNS, WINS and DHCP PKI Services SMTP Proxy Servicing Firewall management and controls DFS, HA, Clustering, SOFS RDS, VMWare, vCenter, ESXI, vMotion, HyperV, VMM Terminal Services MS Cloud incorporating Exchange, Storage and Shares App serviced Citrix deployments incorporating PVS\MCS APP-v incorporating Citrix StoreFront Powershell Scripting, MBAM/BitLocker/VPN Desirable skills and knowledge/certifications Any Microsoft / Citrix / VMWare certification Wider understanding of client or midrange OSes, networking and security HyperV, Azure and Google Cloud HP BladeSystem, or similar blade servers / blade chassis and interconnect technologies HP Cloud Service Automation, or similar self-service cloud management technology HP Server Automation, or similar system configuration / software deployment technology Symantec Datacentre Security, or similar security policy enforcement product A deep understanding of Virtualisation and Container technologies Design of large, complex systems including practical experimentation and development skills Has both technical breadth and depth and great client engagement skills Knowledge or appreciation of some the listed technologies; Foreman; Puppet; Satellite; Ansible; Nagios; AI/ML; Big Data; Elastic Search; IaaS; PaaS; HPC; DevOps; AWS; Azure; Kubernetes, Docker, OpenShift; Linux based applications

At Ripple, we're building a world where value moves like information does today. It's big, it's bold, and we're already doing it. Through our crypto solutions for financial institutions, businesses, governments and developers, we are improving the global financial system and creating greater economic fairness and opportunity for more people, in more places around the world. And we get to do the best work of our career and grow our skills surrounded by colleagues who have our backs. If you're ready to see your impact and unlock incredible career growth opportunities, join us, and build real world value. Overview: In the role of Staff Network Engineer, you will serve as a technical architect and senior project lead for Ripple's global office networks. You will enable world class, 99.9% uptime network and internet access, and support Ripple's accelerated growth through new office network design and commissioning. We want a high-impact individual contributor who defines Ripple's standard for global connectivity, and approaches networking from a lens of continuous improvement and an end user experience first mentality. This position blends high level planning with practical senior engineering to support a workforce spread around the world. Key Responsibilities Architectural Leadership: Define and maintain Ripple Office networking standards, in a way that promotes continuous improvement, agile scalability, and a world class end user experience. Act as the final technical point of contact for resolving any critical issues in the global network infrastructure. NetDevOps and Automation: Grow the next generation of network operations at Ripple, by developing best practice utilization of automation, version control, and continuous integration/continuous deployment (CI/CD). Replace manual "copy paste" configurations with cloud managed deployment, reconciliation, and validation tooling. Security and Zero Trust: Collaborate with the Information Security and other cross functional teams to drive the next generation of network security at Ripple, implementing Zero Trust Network Access (ZTNA). Develop a security and compliance posture that is world class, but carefully balances user experience. Infrastructure Life Cycle: Manage multi million dollar global hardware through a full lifecycle of design, deployment, maintenance, and upgrades. Reliability Engineering: Ownership of Ripple's 99.9% Network availability SLA. Develop changes to architecture needed to robustly meet this SLA, and develop advanced observability to accurately measure adherence. Vendor and Project Management: Manage relationships with ISPs, hardware vendors, and professional services providers. Lead cross functional projects to meet international deliverables. Required Technical Expertise Expert level understanding of Arista EOS (CloudVision) and Aruba Central. Deep experience with Palo Alto Networks (Panorama, GlobalProtect, and Prisma or equivalent experience) Great understanding of cloud based Radius/TACACS+ authentication and certificate management platforms such as Arista AGNI, Foxpass, and ClearPass. Expertise in Arista (EOS/CloudVision) and Juniper (JunOS) switching/routing stacks. Experience with MLAG and LACP switch stacking for high availability. Senior level experience with Aruba wireless solutions, particularly Aruba Central in extensive global deployments with high user density. Proficiency in NetDevOps tooling such as Python, Ansible. Advanced administration of tools like Infoblox (DNS/DHCP/IPAM) in a high availability, multi site environment. Proficiency with SNMP based alerting and logging platforms (Auvix, Logicmonitor, etc) Expert knowledge of core protocols and standards such as BGP, BFD, STP, and 802.11ax/be wireless standards. Experience with network modernization practices like SD WAN and ZTNA Experience with new office network design and installation WHO WE ARE: Do Your Best Work The opportunity to build in a fast paced start up environment with experienced industry leaders A learning environment where you can dive deep into the latest technologies and make an impact. A professional development budget to support other modes of learning. Thrive in an environment where no matter what race, ethnicity, gender, origin, or culture they identify with, every employee is a respected, valued, and empowered part of the team. In office collaboration for moments that matter is important to our culture, and we give managers and teams the flexibility to decide which 10+ days a month they come in. Bi weekly all company meeting - business updates and ask me anything style discussion with our Leadership Team We come together for moments that matter which include team offsites, team bonding activities, happy hours and more! Take Control of Your Finances Competitive salary, bonuses, and equity Competitive benefits that cover physical and mental healthcare, retirement, family forming, and family support Employee giving match Mobile phone stipend Take Care of Yourself R&R days so you can rest and recharge Generous wellness reimbursement and weekly onsite & virtual programming Generous vacation policy - work with your manager to take time off when you need it Industry leading parental leave policies. Family planning benefits. Catered lunches, fully stocked kitchens with premium snacks/beverages, and plenty of fun events Benefits listed above are for full time employees. Equal Opportunity Employer Ripple is an Equal Opportunity Employer. We're committed to building a diverse and inclusive team. We do not discriminate against qualified employees or applicants because of race, color, religion, gender identity, sex, sexual identity, pregnancy, national origin, ancestry, citizenship, age, marital status, physical disability, mental disability, medical condition, military status, or any other characteristic protected by local law or ordinance. Please find our UK/EU Applicant Privacy Notice and our California Applicant Privacy Notice for reference.

Overview AVEVA is creating software trusted by over 90% of leading industrial companies. Join the 3DVis Cloud team as a Junior Software Engineer. Job Details Job Title: Junior Software Engineer Location: Derry/Londonderry or Cambridge, United Kingdom (Hybrid) Employment Type: Full Time Key Responsibilities Implement defined features, bug fixes, and user stories following team standards. Contribute to the stability and robustness of our software by applying industry best practices. Collaborate with fellow software developers, SDET's and DevOps engineers to clarify requirements, break down work, and deliver sprint commitments. Write and maintain automated unit tests and support continuous integration by investigating failures and improving code coverage. Support the deployment and development of our software by debugging issues, improving logging and diagnostic capabilities. Assist with maintaining production systems by investigating issues, providing well scoped fixes, and implementing preventative improvements such as improved diagnostics and automated tests. Essential Requirements Education: A degree in Computer Science, Software Engineering, or a related field. Experience: Up to 2 years of experience in a technical or security related role (internships count!). Technical Skills (willingness to learn): - Understanding of the Software Development Lifecycle (SDLC). - Foundational experience with software development using C#. - Basic understanding of software development principles such as OOP, Unit Testing, SOLID and DRY principles. Team oriented, collaborative, with clear communication and strong organisational skills. Methodical, proactive "can do" attitude with a strong learning mindset and desire to grow technical depth. Desired Skills and Competencies Interest in DevOps practices or exposure to CI/CD pipelines. Experience working in Agile/Scrum teams. Knowledge of Azure cloud services. Benefits Flexible benefits fund. Emergency leave days, adoption leave. 28 days annual leave (plus bank holidays). Pension, life cover, private medical insurance. Parental leave, education assistance program. Equal Opportunity and Accessibility AVEVA is an Equal Opportunity Employer. We are committed to recruiting and retaining people with disabilities and provide reasonable accommodation to applicants with disabilities where appropriate.

Position Summary An experienced data engineer with strong Azure Databricks expertise is required for a 6 month contract to develop and deliver a scalable data pipeline that ingests files and transforms them into standardised, high quality datasets for reporting. This is a hands on delivery role focused on building a production grade pipeline, suited to someone comfortable working independently, defining technical solutions, and rapidly delivering high quality data engineering components. Location: London, UK (Fenchurch). Key Responsibilities Implement a scalable ETL pipeline in Azure Databricks, that transforms raw data into standardised schemas to support reporting and analytics, following a medallion architecture in line with internal design standards. Leverage an existing email ingestion tool to extract multiple format source files from a shared mailbox. Develop notebooks, jobs and pipelines in Databricks for ETL orchestration. Design and implement robust validation rules, monitor pipeline runs and troubleshoot failures, with logging and notifications to support robust data processes. Integrate with CI/CD flows across environments using Azure DevOps. Produce clear technical documentation of the solution to ensure maintainability post delivery. Experience 2+ years hands on experience with Azure Databricks, including data validation, transformation, and optimisation. Expertise in PySpark/Spark SQL. Knowledge of Unity Catalog and modern Azure Databricks features, as well as data best practices and concepts. Proficiency building end to end data pipelines with Delta Lake/Lakehouse architecture. Experience implementing CI/CD pipelines (Azure DevOps preferred). Experience supporting BI reporting layers (PowerBI or similar) is nice to have. Insurance experience is nice to have. Equal Opportunity Employer Ryan Specialty is an Equal Opportunity Employer. We are committed to building and sustaining a diverse workforce throughout the organization. Our vision is an inclusive and equitable workplace where all employees are valued for and evaluated on their performance and contributions. Differences in race, creed, colour, religious beliefs, physical or mental capabilities, gender identity or expression, sexual orientation, and many other characteristics bring together varied perspectives and add value to the service we provide our clients, trading partners and communities. This policy extends to all aspects of our employment practices, including but not limited to, recruiting, hiring, discipline, firing, promoting, transferring, compensation, benefits, training, leaves of absence and other terms, conditions and benefits of employment.

Role Purpose To build and maintain infrastructure platforms and products that support applications and data systems, using hardware, software, networks, and cloud computing platforms. The goal is to ensure reliability, scalability, and security of the infrastructure. Responsibilities Build engineering: develop, deliver, and maintain high quality infrastructure solutions that meet business requirements, ensuring measurable reliability, performance, availability, and ease of use. Incident management: monitor IT infrastructure and system performance, identify, address, and resolve issues, vulnerabilities, or outages, and use data to reduce mean time to resolution. Automation: develop and implement automated tasks and processes to improve efficiency and reduce manual intervention, using scripting and coding disciplines. Security: implement secure configuration and measures to protect infrastructure against cyber attacks and other threats. Teamwork: collaborate with product managers, architects, and other engineers to define IT infrastructure requirements, devise solutions, and ensure alignment with business objectives. Learning: stay informed of industry technology trends and innovations and actively contribute to the organization's technology communities. Qualifications Experience with Ansible for database server configuration. Experience with DevOps automation tools such as Git, Jira, and database CI/CD tools. Working knowledge of coaching SRE practices across large organisations. Working knowledge of MongoDB. Practical experience with containers and Kubernetes. Experience with scripting languages (e.g., Python, Bash) for automation or migration tasks. Additional technical skills in risk and controls, change and transformation, business acumen, strategic thinking, and digital technology are valued. Location Knutsford or Glasgow.

About the Team The data engineering team is on a mission to create a hyper scale data lake, which helps find bad actors and stop breaches. The team builds and operates systems to centralize all of the data the Falcon platform collects, making it easy for internal and external customers to transform and access the data for analytics, machine learning, and threat hunting. As an engineer on the team you will contribute to the full spectrum of our systems, from foundational processing and data storage, through scalable pipelines, to frameworks, tools and applications that make that data available to other teams and systems. About the Role We're growing and we're looking for a passionate and experienced Engineering Manager to lead a brand-new Data Replay & Recovery Team within our Data Platform organization. This is a opportunity to build a team and product from the ground up - defining the charter, shaping the technology, and delivering a critical data replay application that directly impacts the reliability and resilience of our platform. You'll collaborate with talented engineers across Data Platform, ML Platform, and DevOps teams, working on large-scale distributed systems that matter. What You'll do Design, develop, and maintain a data platform that processes petabytes of data. Participate in technical reviews of our products and help us develop new features and enhance stability. Continually help us improve the efficiency of our services so that we can delight our customers. Help us research and implement new ways for both internal stakeholders as well as customers to query their data efficiently and extract results in the format they desire. What You'll need 3+ years of hands on management experience leading engineering teams in a big data environment. Degree in Computer Science (or commensurate experience in data structures/algorithms/distributed systems,big data). 7+ years' experience combined between backend/cloud development and data platform engineering roles. A solid understanding of algorithms, distributed systems design and the software development lifecycle. Solid background in Java/Scala and a scripting language like Python. Experience building large scale data pipelines. Strong familiarity with the Apache Hadoop ecosystem including Spark, Kafka, Flink, Iceberg/Delta Lake/Hive, Apache Presto/Trino, etc. Experience with relational SQL and NoSQL databases, including Postgres/MySQL, Cassandra, DynamoDB. Familiarity with containerized environments (Docker, Kubernetes). Good test driven development discipline. Reasonable proficiency with Linux administration tools. Proven ability to work effectively with remote teams across time zones. Desired tools: Go, Kubernetes, Jenkins, Parquet, Protocol Buffers/GRPC. Benefits Market leader in compensation and equity awards Comprehensive physical and mental wellness programs Competitive vacation and holidays for recharge Paid parental and adoption leavesProfessional development opportunities for all employees regardless of level or role Employee Networks, geographic neighborhood groups, and volunteer opportunities to build connections Vibrant office culture with world class amenities Great Place to Work Certified across the globe Equal Employment Opportunity CrowdStrike is proud to be an equal opportunity employer. We are committed to fostering a culture of belonging where everyone is valued for who they are and empowered to succeed. We support veterans and individuals with disabilities through our affirmative action program. CrowdStrike is committed to providing equal employment opportunity for all employees and applicants for employment. The Company does not discriminate in employment opportunities or practices on the basis of race, color, creed, ethnicity, religion, sex (including pregnancy or pregnancy related medical conditions), sexual orientation, gender identity, marital or family status, veteran status, age, national origin, ancestry, physical disability (including HIV and AIDS), mental disability, medical condition, genetic information, membership or activity in a local human rights commission, status with regard to public assistance, or any other characteristic protected by law. We base all employment decisions-including recruitment, selection, training, compensation, benefits, discipline, promotions, transfers, lay offs, return from lay off, terminations and social/recreational programs-on valid job requirements.

Title: Application Support Analyst Contract Type: Permanent Location: Bradford, Chatham, Petersfield Working Pattern: Hybrid (usually a couple of days a week in the office). We welcome part-time and flexible arrangements and will aim to match your current flexibility where possible. We Offer Holidays: 25 days (rising to 30) + buy/sell up to 5 days + swap up to 4 bank holidays. Pension: Up to 10% employer contribution. Family Leave: Enhanced maternity and 4 weeks' paternity from day one, shared parental leave, paid neonatal care leave and support for adoption and surrogacy. Fertility Support: Paid time off for fertility treatment and appointments, available to birth parents and partners, with confidential support and flexible adjustments where needed. Workations: Work abroad for up to 20 days a year in approved countries. Birthday Leave: Your birthday off-paid. Learning: Access to LinkedIn Learning for all colleagues. Financial Wellbeing: Free Snoop Premium subscription. Healthcare: Self pay Denplan & optional Private Medical Insurance. The Role We're looking for an Application Support Analyst to support key platforms including Salesforce, Genesys, MuleSoft, GoAnywhere (MFT/SFTP), and Sumo Logic. You'll investigate complex issues, perform root cause analysis, and support systems across application, integration, and data layers. Working closely with engineering teams, you'll help resolve defects and improve system reliability. As an Application Support Analyst, you will: Provide technical application support, owning incidents from investigation through to resolution and root cause analysis. Troubleshoot issues across Salesforce, MuleSoft APIs, GoAnywhere (MFT/SFTP), and Genesys platforms. Monitor system health and analyse logs, API payloads, and dashboards (Sumo Logic) to identify failures and performance issues. Manage incidents, defects, and changes using ITSM and Azure DevOps, ensuring timely resolution aligned to business priorities. Collaborate with engineering teams to resolve issues, improve reliability, and implement long term fixes. What We're Looking For Experience in application support, integration support, or a similar technical role. Proven background supporting business critical systems with multiple integrations. Hands on experience working with enterprise platforms and integration ecosystems. Strong experience in incident and problem management within production environments. Vanquis Bank is an Equal Opportunity Employer We value everyone's unique background, identity and experience, and we're committed to a workplace where all colleagues can thrive. If you need any adjustments or support during the recruitment process, please contact and we'll be happy to help.