Data Engineer (Data Science)

Office Location: BlokHaus West Park, Ring Rd, Leeds LS16 6QG

Havas 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 will play a vital role in delivering a wide variety of projects for our clients and internal teams. You will 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.

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 Python for building robust APIs, scripting, and maintaining complex data/ML codebases.
• Strong SQL expertise and deep familiarity with data warehousing concepts relevant to tools like BigQuery.
• Practical experience with Docker and a firm grasp of Linux to manage local dev containers, servers, and Cloud Run deployments.
• Advanced Git proficiency and active experience participating in PR reviews to maintain code quality.
• Solid understanding of CI/CD principles and practical experience defining or managing pipelines, preferably using a tool like Azure DevOps.
• Proven ability to quickly read, understand, and apply technical documentation to translate broad business requirements into precise technical specifications.
• Excellent written and verbal communication skills for 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 like GCP Dataflow or general orchestrators like Apache Beam.
• Familiarity with Python ML frameworks or data modeling tools like Dataform/dbt.
• Familiarity with the structure and core offerings of GCP 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.