Lead Data Engineer - London based - £600 P/D Inside IR35 - Immediate start - InsurTech - HybridWe are partnered with a global tech consultancy who are working on an integration project with a London based insurance provider. We are looking for a Lead Data Engineer to be the Azure DF SME for the project. Requirements:<ul><li>Strong background in building backlogs</li><li>Team leadership experience</li><li>Expertise with Azure Data Factory and Databricks</li><li>Experience building ETL pipelines from scratch (ideally in python)</li></ul> Bonus points for anyone experienced in integrating data from SAP, Databricks, and Salesforce.

Lead Data Engineer

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

​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 Product Analyst Up to £80k London (hybrid working)Xcede are exclusively working with a Series D scaule up in the UK.They are looking for a Senior Product Analyst to join their growing analytics team and play a pivotal role in shaping the future of their products.Key Responsibilities:<ul><li>Data Analysis &amp; Insights: Analyze product performance data, identify trends, and provide actionable insights to guide product strategy and development.</li><li>Performance Metrics: Develop and track key product metrics, ensuring alignment with company goals and objectives.</li><li>A/B Testing: Design, implement, and analyze A/B tests to optimize product features and user experience.</li><li>User Behavior Analysis: Utilize data to understand user behavior, identify pain points, and recommend enhancements. </li></ul>Qualifications:<ul><li>Experience: Minimum of 5 years of experience in product analytics or a related field.</li><li>Education: Bachelor's degree in a relevant field (e.g., Data Science, Statistics, Computer Science, Economics).</li><li>Technical Skills: Proficiency in SQL, data visualization tools (e.g., Tableau, Looker), and statistical analysis tools (e.g., R, Python).</li></ul>If you are interested, please reach out for a private conversation- daniel.wexler@xcede.com

Senior Product Analyst

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Daniel Wexler

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