Campaign Management Specialist 6 month contract 125 per day inside Ir35 <ul><li>Manage the setup and execution of programmatic and direct campaigns for our customers across display, mobile and video channels.</li><li>Support the campaign management team in their daily tasks such as availability requests, creating campaign evaluations and reporting.</li><li>Coordinate with outsourced vendor partners, handling administrative tasks associated with launching campaigns.</li><li>Actively monitor all assigned campaigns, optimising against deliverable goals, and providing recommendations for optimal performance against KPIs.</li><li>Advise internal sales departments on campaign conception and ad serving guidelines</li><li>Mediate amongst the individual departments, such as Sales, Digital Media Strategy, Project Management, Creatives and client partners</li><li>Support the launch of our new Sales System Globalization Project (SSG):</li></ul><ul><li>Participation in the creation of the digital product catalogue Update of the setting in the AdServer GAM</li><li>Validation of existing campaigns</li><li>Onboarding and adoption of new system, workflow and processes </li></ul>Experience<ul><li>Must possess at least 6 months of Ad Operations/Campaign Management experience</li><li>Proficiency with Google Ad Manager (GAM) a must</li><li>Excellent communication skills, and the ability to self-prioritise tasks</li><li>Experience with Excel, comfortable with organising data</li><li>Familiarity with DV Publisher Suite or any OMS beneficial</li><li>Knowledge of developer tools or HTML beneficial</li><li>English language fluency, with German language beneficial not a must</li></ul>

Campaign Management Specialist 

Platform Engineer - ObservabilityA leading London-based quantitative trading firm seeks an experienced Platform Engineer to overhaul their SRE and Observability systems. The ideal candidate has strong Python skills and architectural design expertise. This fintech processes vast amounts of real-time data daily, powering algorithmic trading strategies across multiple asset classes globally. They build high-performance data pipelines that generate market insights and identify trading opportunities. The role offers a chance to work with cutting-edge technology in a fast-paced, innovation-driven environment at the intersection of finance and technology. Requirements:<ul><li>Extensive experience in Python or Golang within a DevOps or SRE environment.</li><li>Strong understanding of Public Cloud, Kubernetes, Prometheus, Grafana, and observability best practices.</li><li>Hands-on experience with GitLab, Bitbucket, and CI tools (GitHub / CI / Bamboo).</li><li>Solid experience with HPC (High Performance Computing).</li></ul> Compensation includes a salary of up to £150,000, along with a bonus and benefits package. For more information, please get in touch.

Platform Engineer - Observability

Senior Data Engineer (Snowflake)London - x2 days in office a month as a rough expectation. Xcede is delighted to be recruiting a Senior Data Engineer on behalf of a market leader in the retail and e-commerce space. Our continues to invest in innovation, delivering unparalleled shopping experiences to millions of customers in several formats. As they continue to expand their operations and enhance their digital capabilities, they're seeking an experienced Senior Data Engineer who shares their ambition for well-structured, stable, scalable Data management systems. The Senior Data Engineer should come with a proven track record in managing large-scale data infrastructures and pipelines that support sophisticated analytics. The ideal candidate will be responsible for designing, building, and maintaining robust data solutions that drive strategic decision-making across multiple business units. This role is for someone who principally still loves to code, but who also feels comfortable engaging with stakeholders and mentoring others. Key Responsibilities: <ul><li>Design and implement scalable data architectures using modern cloud platforms. Our client have a strong preference for Snowflake experience, but are open to those from a GCP / AWS / Azure background more generally.</li><li>Develop high-performance ETL/ELT processes for batch and (ideally) real-time data integration.</li><li>Ensure optimal extraction, transformation, loading (ETL) processes by implementing quality checks and balances.</li><li>Collaborate with cross-functional teams including data scientists, analysts, and stakeholders to understand their data needs.</li><li>Support machine learning model deployments by ensuring seamless access to quality datasets.</li><li>Troubleshoot complex issues arising from extensive big-data environments.</li><li>Maintain comprehensive documentation of systems architecture and workflows.</li></ul> Qualifications: <ul><li>Ideally, a Bachelor's degree in Computer Science or related field; Master's preferred.</li><li>Several years of demonstrated commercial experience as a Data Engineer or similar role within large-scale environments dealing with large data sets.</li><li>Expertise in SQL &amp; dbt.</li><li>Significant Python coding skills</li><li>Containerisation experience (Dockers, Kubernetes)</li><li>Cloud Computing experience ( GCP / AWS / Azure )</li><li>Strong preference for a Snowflake background</li><li>Knowledgeable working infrastructure-as-code tools Terraform, Ansible etc.</li><li>Clear commercial experience in an automation &amp; TDD environment - testing is of the utmost importance to our client.</li></ul> Our Client Offer: <ul><li>A Competitive compensation package including a discretionary bonus and strong benefits</li><li>Flexible work arrangements (come to the office as much as you want - equally the engineering team functions as a UK-based remote first group)</li><li>A collaborative work environment (you'll notice the long tenures in the company)</li><li>Continuous professional growth development</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).

Senior Data Engineer

<div class="job-preview__description ">PRINCIPAL DATA SCIENTIST 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. The company is looking to hire experienced Data Scientists at a couple of different levels - Data Scientist / Senior Data Scientist / Principal Data Scientist. Projects will focus on Recommender Systems / Recommendation Engines, Customer Personalisation, etc. The company have already made some heavyweight appointments, with the ML Leadership team coming from a number of FAANG organisations. This is a fantastic environment to improve your skillset and encounter new ideas. 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 said models to production / deployment</li><li>Python expertise proven by writing production quality code</li></ul> Bonus Requirements<ul><li>System / Recommender System / Recommendation Engine / RecSys experience</li><li>PySpark experience</li><li>Azure DataBricks experience</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>

Principal Data Scientist

​With over 15 years of experience working for Xcede, Paul is currently our Senior Principal Consultant in Analytics across the UK and Europe. Leveraging his diverse range of talent acquisition experience, Paul has helped a range of organisations to expand their technology teams. Paul consults on a wide range of analytics-focused roles across all levels, from Customer Insights, Marketing Analysis, Database Marketing and Campaign Management, to Direct Marketing, Email Marketing, Forecasting and beyond. Specialists with proven experience in SQL, Python, and R can contact Paul to discuss the latest Analytics roles. 

Paul Culmer

Lead Consultant

Our client a leading retailer based in London ar looking for a Head of Data to build a team of Analytical Engineers and Analysts.Are you a data visionary capable of transforming numbers into actionable insights? We are seeking a Analytical engineering lead to spearhead their Analytics Engineering department and manage a talented team of analysts. This is your chance to play a pivotal role in shaping the data strategy of a dynamic company based in the heart of London.Key Responsibilities:<ul><li>Lead and mentor a small, high-performing team of data analysts &amp; Analytcial Engineers.</li><li>Design and implement robust data strategies that align with business objectives.</li><li>Ensure the integrity and accessibility of data through SQL, DBT, and Python.</li><li>Drive innovation and continuous improvement in our data processes and systems.</li></ul>Requirements:<ul><li>Proven experience in managing and scaling data teams.</li><li>Expertise in SQL, DBT (data build tool), and Python.</li><li>Strong leadership skills with a track record of developing talent.</li><li>Ability to translate complex data into clear, concise insights for all stakeholders.</li></ul>Location: London (No sponsorship available)Salary: £120,000 per annum, plus performance-based bonus and comprehensive benefits package.

Analytical Engineering Lead

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Paul Culmer

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