CDI - Junior Data Engineer; Data Science

CDI - Data Engineer (Data Science)

Havas Market France – Leeds, England, United Kingdom

Reporting to:
Head of Data Science. Hiring Manager leyendo data science’s. Office

Location:

Blok Haus West Park, Ring Rd, Leeds LS16 6QG
.

HMN employs over 900 people in the UK & Ireland, passionate about creating more meaningful brands through valuable experiences. Our mission: to make a meaningful difference to brands, businesses, and lives.

HMN UK spans London, Leeds, Manchester & Edinburgh and serves clients through passionate agencies:
Ledger Bennett, Havas Market, Havas Media, Arena Media, DMPG and Havas Play Network.

This role is part of Havas Market, a performance‑focused digital marketing agency.

• Human at Heart:
  Respect, empower, and support others to create an inclusive workplace and meaningful experiences.
• Head for Rigour:
  Deliver high‑quality, outcome‑focused work and continuously improve.
• Mind раствор! ame:
  Embrace diversity and bold thinking to innovate and craft unique solutions.

In this position you will deliver a wide variety of projects for clients and internal teams by building data pipelines, predictive models, and insightful analytics. You will work within a small, collaborative team that values cloud‑agnostic fundamentals and self‑sufficiency above platform expertise.

• Build and maintain data pipelines to integrate entsprechende marketing platform APIs (Google Ads, bijvoorbeeld, Meta, Tik Tok, etc.) with cloud data warehouses, including custom API development where connectors are unavailable.
• Develop and optimise SQL queries and transformations in Big Query and AWS to aggregate campaign performance data, customer behaviour metrics, and attribution models for reporting and analysis.
• Design and implement data models that combine first‑party customer data with marketing performance data to enable cross‑channel analysis and audience segmentation.
• Deploy containerised data solutions using Docker and Cloud Run, ensuring reliable operation at scale with proper error handling and monitoring.
• Implement statistical techniques (time‑series forecasting, propensity modeling, multi‑touch attribution) to build predictive models for campaign optimisation.
• Develop, test, and deploy machine‑learning models into production following MLOps best practices such as versioning, monitoring, and automated retraining.
• Translate client briefs and business stakeholder requirements into technical specifications, delivery plans, and realistic time estimates.
• Configure and maintain CI/CD pipelines in Azure Dev Ops to automate testing, deployment, and infrastructure provisioning for data and ML projects.
• Produce clear technical documentation: architecture diagrams, data dictionaries, and implementation guides to support knowledge sharing and handovers.
• Participate in code reviews, providing constructive feedback on SQL, Python, and infrastructure configurations to maintain code quality.
• Provide technical consultation to clients on topics such as data architecture, measurement strategy, and feasibility of ML applications.
• Support analytics and BI teams by creating reusable data assets, troubleshooting data‑quality issues, and building datasets for self‑service reporting.
• Train and mentor junior team members through pair programming, code reviews, and guided project work on data engineering and ML workflows.
• Implement workflow orchestration using tools like Kubeflow to coordinate complex multi‑step pipelines with dependency management and retry logic.
• Stay current with developments in cloud data platforms, digital marketing measurement, and ML techniques relevant to performance marketing.
• Identify and implement improvements to infrastructure, workflows, and data‑quality processes.

• Expert proficiency in Python for robust APIs, scripting, and maintaining complex data / ML codebases.
• Strong SQL expertise and deep familiarity with data‑warehousing concepts for Big Query.
• Practical experience with Docker, Linux, and Cloud Run deployments.
• Advanced Git skills and active participation in pull‑request reviews for code quality.
• Solid understanding of CI/CD…