Publicis Media is one of the four solutions hubs of Publicis Groupe[Euronext Paris FR0000130577, CAC 40], alongside Publicis Communications, Publicis.Sapient and Publicis Healthcare. Led by Steve King, CEO, Publicis Media is comprised of five global brands, Starcom, Zenith, Spark Foundry, Blue 449 and Performics, powered by digital first, data driven global practices that together deliver client value and business transformation. Publicis Media is committed to helping its clients navigate the modern media landscape and is present in more than 100 countries with over 17,500 employees worldwide.

We are built on the foundation of Trust, Talent, Transformation:

TRUST
Trust is the cornerstone upon which we build our relationships. We hold ourselves to the highest standards of how a partner should behave.
We treat our people and our clients with respect, transparency and honesty.

TALENT
This is first and foremost a people business. We are committed to ensuring Publicis Media a destination for the best talent in our industry. We value people as individuals, growing ourselves as we grow our client’s business.

TRANSFORMATION
True transformation comes when we stop managing change, and instead initiate change. We believe in our purpose to be the admired force for business transformation. We believe that focusing on performance and results has the power to transform client business.

We are looking for an experienced Data Engineer to join our development team to support and deliver on our operations and research in a growing range of machine learning applications.
As a data engineer you will be part of a team responsible for the development and overall delivery of our new big data analytics platform. In particular, you will be designing, building, and maintaining big data infrastructures. You should have a keen eye for details and an analytical mind.
The role offers an excellent opportunity for growth and to work on a wide variety of technologies including programming, relational and un-structured databases, cloud infrastructures, and visualization tools. You will develop deep domain expertise and generate key insights that influence business decisions and technological solutions. You will be a self-starter, have a natural curiosity and a desire to learn.

Team Department/Profile
The team is a diverse group of machine learning, AI, NLP and other data science experts. We work closely with the core businesses to conceive and produce innovative data applications, creating value for the group and potentially disrupting current processes and business models.
We work directly with various business units across the entire group and work with stakeholders to identify and understand problems, propose solutions, and then deliver those solutions to a production standard within mission critical environments.

Key Responsibilities
•    Working with product owners, analysts and data scientists to develop, build and improve ETL and data insight pipelines
•    Leading rapid and smooth transition of algorithms and processes developed by other parts of the organisation to production
•    Initiating, managing, and conducting research projects, working independently, but in close collaboration with junior and senior team members
•    Working with new and emerging languages and technologies 

•    Supporting internal and external clients
•    Defining data retention policies

•    Masters, or equivalent experience in a STEM (science, technology, engineering, mathematics) science
•    Proven track record of programming experience in python/R
•    Knowledge of data analysis, visualization techniques, and frameworks
•    Experience with development best practices such as source control, continuous integration, unit testing, design patterns, and agile development methodologies
•    Documented experience of cloud-based technologies such as Windows Azure, AWS and/or GCP
•    To be able to assist in documenting requirements as well as resolve conflicts or ambiguities.
•    Experience with relational and non-relational databases
•    Proficient understanding of distributed computing principles
•    Provide secure public-facing access to modelling solutions via REST APIs
•    Experience of marketing and advertisement is not required, but you are expected to learn and understand the business logic behind the numbers, aiding developers and analysts to produce insights for clients
•    Understanding of web analytics, UI, and UX 

•    Good knowledge of Big Data querying tools