Role - Senior Consultant - DataModeller Technology - DataModeller Location - London Business Unit - Data & Analytics Compensation - Competitive (including bonus) Job Description We are seeking a highly skilled and experienced DataModeller/Architect with deep expertise in the digital media ecosystem, especially in media buying, activation, and campaign performance analytics. This role will be … pivotal in designing scalable, reusable, and business-aligned data models that support marketing effectiveness, media spend optimization, and cross-channel activation insights. Your role This role involves designing and maintaining robust data models supporting content analytics, audience insights, advertising performance, and digital transformation initiatives. You will collaborate with data engineers, analysts, and business stakeholders to translate complex … business requirements into scalable, efficient, and high-performing data structures. Responsibilities Data Modelling & Architecture Design conceptual, logical, and physical data models for digital media and marketing domains. Translate media buying and activation workflows into structured data assets. Collaborate with data engineers to implement models in cloud platforms (e.g., Azure, Databricks). Domain Expertise Understand and More ❯
Join an industry-leading international cargo company as an experienced DataModeller for an initial 6-month contract, with the potential for extension. This role offers a hybrid working arrangement, requiring 1-2 days per week onsite at Heathrow, Hounslow, with on-site parking available. Responsibilities: Data Modelling: Design and optimize star schema data models tailored … to our client's business needs for streamlined analytics and reporting. Collaboration: Work closely with data architects, BI developers, and business analysts to translate business requirements into scalable data models. Data Integration: Integrate data from various sources to create cohesive, comprehensive models. Model Documentation: Document all aspects of data models, including relationships, constraints, and design … decisions, ensuring alignment with business goals. Data Quality & Governance: Establish data quality checks and governance practices to ensure accuracy and integrity within data models. Skills/Must have: Proven experience in data modelling using Kimball methodology, with a focus on dimensional modelling and star schemas. Strong proficiency in SQL and experience with data modelling tools More ❯
NEW CONTRACT JOB - OUTSIDE IR 35 DATAMODELLER LONDON - 3 DAYS ON-SITE INSURANCE I am currently partnered with a niche consultancy looking to delivery a project for an Insurance client. We are looking for a DataModeller to join them working on an internal finance project, Outside IR35 contract that initially runs till the end More ❯
Banking/Financial Domain experience in recent years is a must. Your expertise Proficient in statistical data analysis , machine learning , and NLP , with a clear understanding of practical applications and limitations. Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. Skilled in complete project delivery , from data preparation to model building, evaluation, and … visualization. Proficient in Python programming and SQL , with experience in production-level code and data analysis libraries. Familiar with ML Ops , model development workflows, and feature engineering techniques. Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search . Adept with software development methodologies, code versioning (e.g., GitLab ), and project tracking … tools (e.g., JIRA ). Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. Excellent communication skills in English , with fluency in UNIX command line and familiarity with agile development practices. More ❯
Banking/Financial Domain experience in recent years is a must. Your expertise Proficient in statistical data analysis , machine learning , and NLP , with a clear understanding of practical applications and limitations. Experienced in developing and implementing AI solutions, including classification, clustering, anomaly detection, and NLP. Skilled in complete project delivery , from data preparation to model building, evaluation, and … visualization. Proficient in Python programming and SQL , with experience in production-level code and data analysis libraries. Familiar with ML Ops , model development workflows, and feature engineering techniques. Capable of manipulating data and developing models accessible for business use, with experience in Azure AI Search . Adept with software development methodologies, code versioning (e.g., GitLab ), and project tracking … tools (e.g., JIRA ). Enthusiastic about learning new technologies and adept at problem-solving and delivering production-ready solutions. Additional knowledge in Cloud Computing, Big Data tools, visualization tools, and containerization tools is beneficial. Excellent communication skills in English , with fluency in UNIX command line and familiarity with agile development practices. More ❯
