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Head of Data Engineering

Paris - Engineering Permanent
πŸ‘‹ Hi! We are Smart!

Smart is an AdTech leader created in 2001 on the belief that we can disrupt the on-line advertising industry.
Headquartered in the heart of Paris and with offices in 12 countries, Smart provides cutting-edge technologies that help hundreds of prestigious customers take back control and maximize their digital revenues with a flexible and transparent audience monetization platform.

We can rely on a unique group of 240+ Smarties focused on excellence to shape our future. They continually embrace change and overcome challenge together to make innovation happen. That means we can offer you endless opportunity to do the same and let you shape the world you want!

πŸ‘« About the team

At Smart, we’re on a mission to develop the next-generation technologies that empower our customers to reach their digital business goals. This means that we rely on massively scalable, widely distributed, highly available, and efficient software systems: the platform deals with over 1 000 000 auctions by day and the dataset is 5 petabytes in Hadoop. 
Our innovation team based in Paris, Krakow and Nantes is composed by 80 straightforward and energetic individuals working in an Agile environment and ready to tackle the most complex technical challenges. 

 Your missionπŸ‘‡ 

At Smart, Data is absolutely core. We ingest tens of billions of events daily.
This data is then transformed and crunched to be used by our customers and everybody throughout the company, whether it is for BI analytics, data science algorithms (clustering and optimisation), customer reporting, invoicing and more.

Our Data Teams are responsible for building a scalable and robust platform that handles log ingestion, data storage and optimisation, aggregation and external access through dedicated APIs. 
Our Head of Data reports directly to our CTO and is responsible for our tech data strategy and the overall design, availability and performance of our stack. 
What you'll do ✏️
  • Lead the technical data strategy within the company, working closely with product and analytics
  • Manage the Data Engineering, Data Science and SQL DBA teams
  • Hire new talents within these teams
  • Promote a strong engineering culture and passion for quality and things well done
  • Drive and design a highly performing and robust data pipeline
  • Define platform KPIs (latency, accuracy, response time, …) and associate them to ambitious objectives
  • Identify data needs and design systems to guarantee the success of new projects
  • Drive advanced Machine learning projects on various topics (revenue optimization, semantic analysis, user identity, …)
  • About you πŸ’ͺ
  • Master Degree in a technical field (Engineering, Computer Science, Applied Math)
  • Solid background in building performant and responsive data architectures
  • You like dealing with problems involving huge amounts of data with requirements for high throughput and millisecond response times.
  • A passion for data ecosystems and an experience in the shipping of large scale projects with multiple dependencies across teams
  • Experience with big data technologies (Hadoop, Spark, Kafka, ClickHouse, Druid, …) and an enthusiasm to discover and push new technical environments
  • Talent for clearly communicating complex concepts to non-technical audiences proactive, self-directed and organised
  • Fluent in English and French

  • Why Smart?

    πŸ’› We are one! At Smart, we care for our people. We are certified Happy At Work and are constantly improving our working environment. Meet the team here

    πŸš€Grow with us! You will work in a challenging and fast-paced profitable context with varied projects and get awesome opportunities to develop your skills and grow internally.

    πŸ‘Š Leave your mark! Smart is a human-size company. Each employee can have a direct impact on our business, customers and teams.

      ✈️ Live global! You will work across countries & cultures through geographical moves or our Backpackers program, our interoffice exchange policy to boost employees’ collaboration.

    πŸ“’ We are transparent! We speak with fact and data and have a true culture of feedback. We believe in an open world and show a strong sense of integrity both internally & externally.