Data Scientist – Football London (Hybrid) | Up to £100k Bonus Benefits | No Sponsorship About Us We are a growing sports data consultancy expanding our data science function. We specialise in transforming raw sporting data into clear, actionable insights that help clubs, organisations, and partners make smarter, evidence-based decisions. This role focuses on football, delivering innovative data-driven solutions that support performance analysis, recruitment, and strategic decision-making. Our team combines technical excellence with deep sporting insight, ensuring that what we build is rigorous, practical, and impactful. We’re now looking for talented individuals who want to push the boundaries of how data can shape the future of football. Key Responsibilities <ul><li>Apply advanced data science and statistical modelling techniques to extract meaningful insights from football data.</li><li>Build models and frameworks to profile players and teams, capturing styles of play, strengths, weaknesses, and tactical patterns.</li><li>Develop football-specific performance metrics (e.g., progressive passing value, ball retention efficiency, duel outcomes under pressure).</li><li>Communicate insights clearly to both technical and non-technical stakeholders, including coaches, scouts, analysts, and traders.</li></ul>Skills & Attributes <ul><li>Strong programming experience in Python with excellent data manipulation skills (pandas/polars).</li><li>Solid statistical or machine-learning background, with experience applying these techniques to football data.</li><li>Hands-on experience with events and/or tracking data.</li><li>Understanding of advanced football analytics (e.g., possession value models).</li><li>A genuine passion for football, strong analytical thinking, and the ability to communicate effectively with club-facing teams.</li></ul>

Data Analyst - Football

Data Scientist – Cricket Analytics London | £65k–£85k Bonus Benefits | No sponsorship We are a growing sports data consultancy building out our data science function, and we’re looking for a passionate data scientist to join our cricket team. We turn complex sporting data into clear, actionable insights that help clients make smarter, evidence-based decisions. In this role, you’ll work closely with cricket analysts to transform raw data into meaningful models, metrics, and insights that directly influence performance and strategy. What you’ll do: <ul><li>Analyse ball-by-ball, match, and player-performance datasets to uncover insights.</li><li>Support the development of predictive models and player/team profiling frameworks.</li><li>Help create cricket-specific performance metrics such as expected wickets, pressure indicators, matchup profiles, and more.</li><li>Build clear visualisations and reports to communicate findings to analysts and cricket-facing staff.</li><li>Contribute to internal R&D exploring new metrics, methods, and analytics approaches.</li></ul>What we’re looking for: <ul><li>Strong Python skills, with experience in pandas or polars.</li><li>Good understanding of statistical/ML concepts and how to apply them to real sporting problems.</li><li>Some hands-on experience with cricket data (ball-by-ball, player stats, competition data).</li><li>Curiosity about cricket analytics — modelling intent, evaluating match situations, analysing shot/bowling patterns, etc.</li><li>Clear communicator who can explain technical ideas simply.</li><li>Genuine passion for cricket and a desire to keep learning.</li></ul>If you're excited by the chance to push the boundaries of cricket analytics and work with one of the sport’s most data-forward teams, we’d love to hear from you.

Data Scientist - Cricket

Senior Data Engineer (Distributed Data Processing) UK (O/IR35), Belgium, Netherlands or Germany (B2B) Fully Remote We’re looking for a Senior Data Engineer to join a data-intensive SaaS platform operating in a complex, regulated industry. This is a hands-on senior IC role focused on distributed data processing, Spark-based pipelines, and Python-heavy engineering. You’ll be working on large-scale batch data workflows that power pricing, forecasting, and operational decision-making systems. The role requires strong engineering judgement, the ability to operate autonomously, and the confidence to mentor others while delivering under tight timelines. This is not an ML, Data Science, or GenAI role. What You’ll Be Doing •    Design, build, and evolve large-scale distributed data pipelines using Spark / PySpark. •    Develop production-grade Python data workflows that implement complex business logic. •    Work with Databricks for job execution, orchestration, and optimisation. •    Own and optimise cloud-based data infrastructure (AWS preferred, Azure also relevant). •    Optimise data workloads for performance, reliability, and cost. •    Collaborate with engineers, domain specialists, and delivery teams on client-facing projects. •    Take ownership of technical initiatives and lead by example within the team. •    Support and mentor other engineers. Must-Have Experience •    Proven experience as a Senior Data Engineer. •    Strong Python software engineering foundation. •    Hands-on Spark experience in production (PySpark essential). •    Real-world experience using Databricks for data pipelines (Spark depth matters most). •    Experience with large-scale or parallel data processing. •    Ownership of cloud infrastructure (AWS and/or Azure). •    Comfortable operating with senior-level autonomy and responsibility. •    Experience mentoring or supporting other engineers. Nice-to-Have Experience •    Experience working with time-series data. •    Background in utilities, energy, or other data-heavy regulated industries. •    Exposure to streaming technologies (Kafka, event-driven systems), though the role is primarily batch-focused.

Senior Data Engineer (Distributed Data Processing)

AWS Cloud Architect Location: Knutsford  Duration: 6 Month Contract  Setup: Hybrid (2 days a week on-site) We’re supporting one of our clients in hiring an experienced AWS Cloud Architect to help design and build secure, scalable cloud platforms. This is a hands-on position working across cloud engineering, Kubernetes, automation and security within a highly regulated environment. What We’re Looking For<ul><li>Strong AWS architecture experience</li><li>Kubernetes/OpenShift Helm expertise</li><li>Hands-on Terraform and scripting skills</li><li>Solid Linux troubleshooting background</li><li>Experience with IAM/security tooling (CyberArk ideal)</li><li>Understanding of compliance or regulated environments</li><li>Comfortable working in Agile teams</li></ul>What You’ll Do<ul><li>Design and develop AWS cloud solutions</li><li>Work with Kubernetes/OpenShift and Helm for deployments</li><li>Automate environments using Terraform and scripting (Python/Bash/PowerShell)</li><li>Implement data classification, retention and IAM/security controls</li><li>Integrate cloud platforms with tools like ServiceNow and CyberArk</li><li>Support multi-environment setups (Dev, UAT, Prod, DR)</li><li>Collaborate with engineering, security and governance teams</li></ul>

Cloud AWS Architect/Engineer DevSecOps

​Shakir joined Xcede in 2020, he is a skilled Senior Consultant with a demonstrated history of working in the staffing and recruiting industry across the IT space. As his role is delivery focused, Shakir supports the Xcede team on a variety of urgent roles. His primary focus is on contract technology positions across the UK. 

Shakir Muhammad

Principal Consultant

DevSecOps Engineer  Inside IR35 6-month contract  Hybrid - Onsite Manchester We are looking for an experienced DevSecOps Engineer to support a Financial client with a high-impact security initiative focused on strengthening our application security posture. The successful candidate will drive the implementation, optimisation, and integration of security tooling across the development lifecycle, ensuring security is embedded into every stage of our CI/CD workflows. Key Responsibilities<ul><li>Evaluate, implement, and configure SAST and SCA tools, including Wiz, Veracode, Checkmarx, Snyk, and SonarQube</li><li>Integrate security tooling into CI/CD pipelines (GitHub, Jenkins, Bitbucket)</li><li>Collaborate with engineering teams to support the secure migration of applications</li><li>Develop and maintain documentation, dashboards, and reports for security findings and tool usage</li><li>Provide guidance and enablement to developers on secure coding best practices</li><li>Conduct codebase analysis, identify vulnerabilities, and assist with remediation activities</li></ul>Required Skills & Experience<ul><li>Proven experience with SAST/SCA tooling and integrating them into modern development workflows</li><li>Strong understanding of DevSecOps principles and secure SDLC methodologies</li><li>Hands-on experience with CI/CD pipelines and automation</li><li>Familiarity with major cloud platforms (AWS, Azure, GCP, OpenShift) and application migration best practices</li><li>Knowledge of container security, including Docker and Kubernetes</li><li>Excellent communication and documentation abilities</li></ul>Wiz Experience – Essential Candidates must have demonstrable hands-on experience with Wiz, including: <ul><li>Cloud security posture management across AWS, Azure, and/or GCP</li><li>Understanding of cloud-native security risks, misconfiguration detection, and vulnerability management</li><li>Ability to interpret Wiz findings and integrate them into remediation workflows and CI/CD processes</li></ul>

DevSecOps Engineer

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Shakir Muhammad

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