Data Engineer - Retail

The Role A client in the luxury lifestyle and retail industry is seeking a Data Engineer to join the team for a 12 month fixed term contract. You will play a key role in establishing robust data foundations to support scalable, insight led marketing analytics across international markets. Reporting into a marketing analytics lead and working closely with data scientists, the objective of the project is to enable effective Marketing Mix Modelling and attribution through well governed, high quality and accessible data. Responsibilities • Design, build and maintain databases in Snowflake to support marketing analytics use cases • Develop and manage scalable data pipelines connecting media, marketing, competitor and agency data sources • Implement data governance standards, best practices and clear technical documentation • Support Marketing Mix Modelling and Multi Touch Attribution initiatives across multiple countries • Monitor, test and validate data to ensure accuracy, consistency and reliability • Partner closely with data scientists to enable efficient model development and deployment • Translate technical concepts into clear, business relevant outcomes for non technical stakeholders • Support the adoption and effective use of Dataiku within the analytics workflow Requirements • 4–8 years’ experience in data engineering, ideally within marketing or media analytics • Strong hands on experience with Snowflake (essential) • Experience working with Dataiku (highly desirable) • Solid understanding of marketing and media data and related analytics use cases • Proven experience designing databases and building scalable, production ready data pipelines • Strong knowledge of data governance, data quality monitoring and best practices • Confident communicator, comfortable working in non technical and stakeholder facing environments • Ability to translate business requirements into practical and effective data solutions Details • Start date: ASAP • Duration: 12 months • Day rate: Competitive, DOE • Location: Hybrid, London (2 days per week in the office)