**Data Engineer (Data Science)**Office Location: BlokHaus West Park, Ring Rd, Leeds LS16 6QGHavas Media Network (HMN) employees over 900 people in the UK & Ireland. We are passionate about helping our clients create more Meaningful Brands through the creation and delivery of more valuable experiences. Our Havas mission: To make a meaningful difference to the brands, the businesses and the lives of the people we work with. This role will be part of Havas Market, our performance-focused digital marketing agency. The Role In this position, you'll play a vital role in delivering a wide variety of projects for our clients and internal teams. You’ll be responsible for creating solutions to a range of problems – from bringing data together from multiple sources into centralised datasets, to building predictive models to drive optimisation of our clients’ digital marketing. We are a small, highly collaborative team, and we value cloud-agnostic technical fundamentals and self-sufficiency above specific platform expertise. The following requirements reflect the skills needed to contribute immediately and integrate smoothly with our existing workflow. Key Responsibilities Translate client briefs and business stakeholder requirements into detailed technical specifications, delivery plans, and accurate time estimates Create clear technical documentation including architecture diagrams, data dictionaries, and implementation guides to enable team knowledge sharing and project handovers Train and mentor junior team members through pair programming, code review feedback, and guided project work on data engineering and ML workflows Expert-level proficiency in Pythonfor building robust APIs, scripting, and maintaining complex data/ML codebases. Strong SQL expertiseand deep familiarity withdata warehousing conceptsrelevant to tools like BigQuery.Practical experience withDockerand a firm grasp of theLinux to manage local devcontainers, servers, and Cloud Run deployments.Advanced Git proficiencyand active experience participating inPR reviewsto maintain code quality.Solid understanding ofCI/CD principlesand practical experience defining or managing pipelines, preferably using a tool likeAzure DevOps.Proven ability to quicklyread, understand, and apply technical documentationto translate broad business requirements into precise technical specifications. Excellentwritten and verbal communication skillsfor proactive knowledge sharing, constructive PR feedback, participating in daily standups, and documenting processes.Beneficial skills and experience to have: Hands-on experience with any major cloud ML platform, focusing on MLOps workflow patterns.Practical experience with stream or batch processing tools likeGCP Dataflowor general orchestrators like Apache Beam.Familiarity with PythonML frameworksordata modeling toolslike Dataform/dbt.Familiarity with the structure and core offerings ofGCP or AWS.Here at Havas across the group we pride ourselves on being committed to offering equal opportunities to all potential employees and have zero tolerance for discrimination. We are an equal opportunity employer and welcome applicants irrespective of age, sex, race, ethnicity, disability and other factors that have no bearing on an individual’s ability to perform their job.
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