Cyber Defense Operations (CDO) Analyst is required by a leading technology company for a 6 month Inside IR35 contract. The incoming Analyst will be reponsible the identification and mitigation of Cyber threats using the Microsoft suite of Cyber tools including Sentinel, Defender, Threat Explorer and Advanced Hunting. The successful candidate must also demonstrate experience in managing cyber incidents. The role represents an exciting opportunity for an experienced Cyber professional to join major player in the technology and communications industry.

CDO Analyst (Inside IR35, Hybrid)

<div class="job-preview__description ">Senior Data Scientistx3 days a week in office Xcede are delighted to be working with one of the most exciting Fintech's in Europe. The organisation has over 3 million customers using their Products every day, and Data is at the very core of their offering. The Head of Data is a former Machine Learning Engineer / Full-Stack Data Scientist who has helped build some incredible teams in the past, and they're currently in the process of doing the same again.The company are now looking to onboard another Senior Data Scientist who ideally has commercial experience when it comes to building Recommender Systems. For Product relatability purposes, it would be fantastic if someone has a background in dealing with Risk modelling for financial products, too. Responsibilities <ul><li>Work with senior colleagues and internal stakeholders to spot business opportunities to leverage data science techniques and add business value.</li><li>Build relevant statistical / machine learning models related to said projects.</li><li>Build RecSys / Recommendation Engines / Recommender Systems</li><li>Contribute to the AB testing framework for this huge organisation from day one.</li><li>Communicate findings effectively to stakeholders to encourage adoption.</li><li>Find brilliant new ways of tackling their problems - innovation will be a key part of the job.</li></ul> Requirements <ul><li>A relatable STEM / Computer Science degree (ideally MSc and above but all backgrounds considered).</li><li>Excellent Python &amp; SQL skills.</li><li>Strong Machine Learning &amp; Statistical knowledge</li><li>Commercial Recommendation Engine experience</li><li>Commercial A/B testing experience</li><li>Software Development best practice approach (CI/CD experience, etc.)</li><li>A bonus would be any work around financial risk modelling, loans, etc.</li></ul> If this role interests you and you would like to learn more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review). </div>

Senior Data Scientist

<div class="job-preview__description ">Senior Data EngineerX2 days a month in office (Surrey) Xcede are delighted to be working with an incredibly data-rich organisation with over 3 million customers in the UK using their products. The company have a very established Data division headed up by well-regarded CDO who comes from a 'hands on' Data Science background. The Data Unit is filled with experienced Data Scientists, Analyst, Machine Learning Engineers, LLM specialists, and Data Engineers. We're now actively recruiting for another Senior Data Engineer to join their team. The perfect Senior Data Engineer will love building great Software as much as they do exploring &amp; managing data. The company adhere to Software Engineering best practices and will expect any new joiners to do the same. Alongside the huge swathe of batch data that they work with, the team also have a clear business opportunity to work on real-time / streaming projects. Responsibilities <ul><li>Manage ETL, build pipelines, and scale data infrastructure to support data science and analytics initiatives.</li></ul> <ul><li>Design, implement and improve tools and services for orchestration, observability, data governance and data quality to high engineering standards</li></ul> <ul><li>Deploy and manage products using CI/CD best practices</li></ul> <ul><li>Work in partnership with Analytical stakeholders from a huge variety of business projects and help to diagnose issues.</li></ul> Requirements <ul><li>Ideally a strong degree in computer science or a relevant area.</li><li>Excellent coding skills specifically in Python.</li><li>Very desirable commercial technical experience with tools such as Spark, Databricks, Airflow, Docker etc</li><li>Commercial Containerisation &amp; Infrastructure as code experience</li><li>Previous work in a CI/CD environment</li><li>AWS is the preferred cloud platform - Azure and/or GCP will be considered.</li></ul> If this role interests you and you would like to find out more, please apply here or contact us via niall.wharton@Xcede.com (feel free to include a CV for review).</div>

Data Scientist

Enterprise Platform Specialist - Windows/VirtualizationA leading global investment management firm is seeking an Enterprise Platform Specialist to join its team of platform engineers. This role focuses on delivering resilient, scalable, and secure Windows and Virtualization platforms critical to the firm's success.<hr /><h3>Responsibilities:</h3><ul><li>Manage and optimize Active Directory and related Windows systems.</li><li>Design, build, and support Windows infrastructure services across on-premises and cloud environments.</li><li>Oversee and enhance global virtualization platforms, including VMware vSphere.</li><li>Develop advanced PowerShell-based automation workflows for efficiency and self-healing systems.</li><li>Configure, monitor, and maintain VDI systems and cloud images.</li><li>Define policies, roadmaps, and standards for infrastructure and downstream teams.</li><li>Ensure hardware lifecycle management and support disaster recovery planning.</li><li>Collaborate with internal and external stakeholders to drive innovative solutions.</li></ul><hr /><h3>Qualifications:</h3>Required:<ul><li>Strong experience with Microsoft server infrastructure and VMware vSphere.</li><li>Proficiency in developing PowerShell automation workflows within CI/CD pipelines.</li><li>Expertise in system monitoring, production support, and mixed environments.</li><li>Bachelor's degree in Computer Science or equivalent experience.</li><li>Excellent troubleshooting and communication skills.</li></ul>Preferred:<ul><li>Certifications: MCSE (Core Infrastructure or Productivity), VMware VCP/VCAP.</li><li>Experience with SAN Storage Administration.</li></ul>

Platform Specialist - Windows/Virtualization

​Daniel is a Senior Consultant working across roles in the Product Analytics and Data Science space in the UK. He currently sits in Xcede’s data recruitment team, specialising in Product Analytics and Data Science recruitment. Daniel has worked across a variety of sectors and industries, specialising in Digital, Product Analytics and Optimisation at all levels.  

Daniel Wexler

Principal Consultant

Senior Data Engineer Salary- Up to €60k + competitive bonus Location- Greece (Remote or Athens)We're looking for a Senior Data Engineer with deep expertise in Python and Azure to join our growing team and help us harness the power of data to shape the future of gaming and entertainment. <h3>Your Role</h3>As a Senior Data Engineer, you'll play a critical role in designing, building, and maintaining our data infrastructure, ensuring it's robust, scalable, and ready to meet the demands of a fast-paced, data-driven industry.Key Responsibilities:<ul><li>Deploy and manage their products using CI/CD best practices following the 'you build it, you run it' culture</li><li>Cloud Infrastructure: Architect, implement, and manage data solutions on Microsoft Azure, leveraging services like Data Factory, Synapse, Databricks, and Azure Functions.</li><li>Database Management: Design and manage data warehouses, ensuring optimal storage, retrieval, and performance.</li><li>Collaboration: Work closely with data scientists, analysts, and software engineers to ensure seamless data flow and accessibility.</li><li>Automation &amp; Optimization: Use Python to automate processes, optimize workflows, and enhance data processing efficiency.</li></ul>Essential Skills &amp; Experience:<ul><li>Technical Expertise: Strong proficiency in Python for data engineering tasks and scripting.</li><li>Azure Experience: Deep understanding of Azure Data Services (e.g., Data Factory, Synapse, Databricks, and Azure Functions).</li><li>Data Engineering: Proven experience in designing, building, and managing ETL/ELT pipelines and data workflows.</li><li>Software Engineering: Strong software engineering background, skilled in designing, writing and deploying production-grade code that aligns with our data-first vision.</li><li>Big Data Tools: Experience with distributed computing frameworks like Apache Spark</li></ul>If you are interested, please do reach out for a further conversation- daniel.wexler@xcede.com

Senior Data Engineer

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Daniel Wexler

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