Senior Data Lead - £100k-£120k + Bonus - Remote (UK-Based, London Access Required)Are you a hands-on data professional with leadership experience, looking for a high-impact role? We're seeking a Senior Data Lead to drive data strategy, manage a small team of remote analysts, and present insights to senior stakeholders, including the C-suite.<h3>What You'll Be Doing:</h3><ul><li>Managing and mentoring a small team of remote data analysts.</li><li>Working hands-on with data-ideally Salesforce, SQL, and multiple data sources.</li><li>Presenting key insights and strategic recommendations to senior leadership and the board.</li><li>Ensuring data quality, governance, and effective reporting across the business.</li></ul><h3>What We're Looking For:</h3><ul><li>Proven experience leading a data team while remaining hands-on.</li><li>Strong technical skills in Salesforce, SQL, and data integration.</li><li>Ability to communicate complex data insights to non-technical stakeholders at a senior level.</li><li>UK-based with the flexibility to travel to London when required.</li><li>No sponsorship available-candidates must have full UK working rights.</li></ul><h3>What's on Offer:</h3><ul><li>£100k-£120k base salary + bonus.</li><li>Fully remote role with occasional travel to London.</li><li>A high-profile role with significant impact on business strategy.</li></ul>

Senior Data Lead

No Sponsorship AvailableOur client is looking for a BI Analyst with expertise in Power BI and SQL. Do you have experience building insightful dashboards and reporting for data-driven decision-making? IKey Requirements:<ul><li>Power BI &amp; SQL Expertise: Strong hands-on experience with Power BI for building dashboards and SQL for querying and analyzing data.</li><li>Reporting &amp; Dashboards: Ability to create interactive and informative dashboards, reports, and data visualizations that provide actionable business insights.</li><li>Industry Experience: Ideally, experience in the insurance or finance sectors, where data analysis and reporting are critical to operations.</li><li>Attention to Detail: A keen eye for detail and a passion for ensuring data accuracy and clarity in reporting.</li><li>No Sponsorship Available: Candidates must have the right to work in the UK.</li></ul>Responsibilities:<ul><li>Develop and maintain Power BI dashboards and reports to provide real-time insights for key stakeholders.</li><li>Use SQL to extract, transform, and analyze data from various sources to support business needs.</li><li>Collaborate with cross-functional teams to understand reporting requirements and deliver tailored data solutions.</li><li>Ensure the accuracy and consistency of data used in reports and dashboards.</li><li>Assist in the automation of reporting processes to enhance efficiency and accuracy.</li></ul>What We Offer:<ul><li>Competitive salary of £35,000, plus bonus and benefits.</li><li>Opportunity to grow in a dynamic and supportive environment.</li><li>Hybrid working model, providing flexibility in Peterborough.</li><li>The chance to work in a fast-paced, data-driven industry, particularly within insurance or finance.</li></ul>Please send me your CV to paul.culmer@xcede.com

BI Analyst

Hybrid Data Engineer 9 months initial Stockholm/Sweden based Working as a freelancer with our globally renowned client, you will contribute to a major data transformation project, working on building data products within the Data Mesh concept. This will involve collaborating with cross-functional teams, optimizing and supporting data products, and applying DevOps principles to ensure scalability, security, and performance. Minimum mandatory experience:<ul><li>Minimum 5+ years of GCP data engineering with knowledge of cloud infrastructure.</li><li>Experience with DBT, BigQuery</li><li>Familiarity with Parquet, Avro</li><li>SQL</li><li>Python, Java, Scala</li><li>Data modeling techniques and their trade-offs.</li><li>NoSQL and RDBMS databases.</li></ul>Additional Skills:<ul><li>Retail/FMCG/Ecom industry knowledge</li></ul> Key Responsibilities:<ul><li>Take end-to-end ownership of building, optimizing, and supporting new and existing data products.</li><li>Champion DevOps principles and manage CI/CD pipelines and cloud infrastructure, primarily on GCP.</li><li>Ensure data products meet non-functional requirements for security, scalability, and performance.</li><li>Collaborate closely with the Product Manager and stakeholders to shape product vision and identify opportunities for new data products.</li><li>Engage with teams across and outside the domain on data mesh topics.</li><li>Drive continuous improvement and reduce technical debt within teams.</li><li>Stay up to date with the latest data, analytics, and cloud technologies.</li></ul>

Data Engineer

Cloud Architect Location: Germany (Hybrid) Mainz/ FrankfurtSalary: €85,000 per annumBusiness Language: German<div><div> </div><div><h3>About the job: </h3></div><div><ul><li>Recording and analysing customer requirements in the Kubernetes environment</li><li>Creation and coordination of concepts for the development of developer platforms</li><li>Conducting customer workshops and strategy workshops to set up new or further develop existing platforms</li><li>Advising teams, also at C-level, on the use of Kubernetes, container technologies and architectural decisions</li><li>Conducting customer workshops and strategy workshops about Platform Engineering</li><li>Communicating the impact of architectural decisions on platform usability and operational processes</li><li>Supporting sales by building and maintaining customer relationships</li><li>Ensuring a long-term and collaborative partnership with our customers</li><li>Implement the designed decision at customer side​</li></ul><h3>​Who you are: </h3></div><div><ul><li>Experience in setting up, designing and operating Kubernetes-based platforms</li><li>Experience in integrating Kubernetes into existing business/enterprise environments​</li><li>Confident demeanour, analytical and conceptual skills, ability to work in a team and customer orientation</li><li>Native or fluent German speaker</li></ul></div></div><div><div> </div><div><h3>It would be optimal if …: </h3></div><div><ul><li>You possess extensive expertise with cloud service providers and Kubernetes on-premise distributions.</li><li>You can provide in-depth explanations of the advantages and disadvantages involved in establishing large multi-cloud environments (e.g., AKS and Tanzu or GCP and Rancher).</li><li>You are capable of collaboratively developing a multi-cloud strategy with our customers, tailored to their specific requirements.</li><li>You have a profound understanding of the most commonly used cloud and on-premises infrastructure providers, including their architectural requirements and the architectural impact they have on the Kubernetes platform implemented on top of them.</li><li>You can lead enterprise-level workshops for our customers, using practical examples to illustrate how to design and build a private cloud (the correct way).</li><li>You possess extensive knowledge of process optimization in enterprises, particularly with respect to organizational processes during the adoption of Kubernetes, and can effectively communicate these concepts to customers in workshops.</li><li>You can create a comparison matrix for the most critical Kubernetes tools and components, enabling data-driven decision-making (e.g., CNI selection for a Kubernetes infrastructure with in-depth explanations of the pros and cons).</li><li>You have experience in implementing Kubernetes and containers in edge environments and can design a modern platform tailored for these specific use cases.</li><li>You have delivered numerous presentations at conferences within the cloud-native field.</li></ul> If this role sounds of interest to you, please apply and one of our senior consultants will give you a call to discuss in more detail. ​</div></div>

Cloud Architect

​Since setting up Xcede's Data Science and Data Engineering Recruitment offering from scratch back in 2013, Niall has earned nearly a decade of experience recruiting in this specialist area of the data space. Alongside his colleague Matthew, Niall was one of the first UK recruiters to place Data Science roles and has witnessed the industry evolve from the ground up. Being one of the first recruiters in the UK to focus on this arena of Data, Niall has played a key role in curating Xcede’s industry-leading events in the data recruiting space. Niall consults for roles at each level from Associate through to Director, for a range of jobs including Senior Data Scientist and Head of Analytics to Machine Learning Engineer and Big Data Architect and beyond. He has since been promoted to Associate Director.​

Niall Wharton

Associate Director

<div class="job-preview__description ">DATA SCIENCE TEAM LEAD / MANAGER(Lisbon office x1 day a week *OR* fully remote in Portugal) Xcede are delighted to be working with one of the world's largest gaming companies on the scale-up of their pre-existing Data Science &amp; Machine Learning Division. The organisation have an enviable wealth of digital / B2C data available to them given the scale of their userbase. The company would like to capitalise further on this, hence their ambitious (but well-defined) hiring plans. In particular, we're currently on the lookout for an experienced Data Science Team Leam - someone who combines the best of Machine Learning, Statistics, Model Deployment and Managerial experience. The main aim of this unit is to facilitate and enable the ML unit's key projects. These can range from customer personalisation, recommendation engines, pricing algorithms, and A/B tests. Requirements<ul><li>An academic background in Statistics, Mathematics, or Computer Science (or similar)</li><li>A number of years of commercial experience as a data scientist appropriate to your grade.</li><li>Commercial experience in designing impactful machine learning models</li><li>Experience in helping to take these models to production / deployment</li><li>Python expertise proven by writing production quality code</li><li>Manage &amp; provide direction to team members.</li></ul> Bonus Requirements<ul><li>Recommendation System / Recommender System / Recommendation Engine / RecSys experience</li><li>PySpark experience</li><li>Azure DataBricks experience</li><li>Commercial Deep Learning (including transformers) experience</li><li>Representation Learning Knowledge</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 Science Manager

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Niall Wharton

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