The Data Engineer is following the project in an agile manner during the entire life cycle: from the very start of the idea with the business teams to the day-to-day in production.
His/her main missions are:
Understanding business needs, defining functional requirements and proposing technical solutions in response.
Designing and developing the data transformation flows (python,SQL,PySpark ?) inside our datalab infrastructure (Dataiku)
When tested, delivering into production and monitoring the smooth execution on a daily basis.
Training and coaching the other team members (Index, Quant and Global analytics) to use the datalab platform, and defining good practices (code review, clean code?)
Leveraging curiosity, structure and ability to be solution-oriented, he/she will have the opportunity to quickly build knowledge and relations with all Euronext departments and locations.
Challenged by our competitive environment, and leveraging of our cloud migration, he/she will be fully immersed into our vast data ecosystem, and will be part of our ongoing data transformation to re-invent ourselves to be more agile and innovative while still robust and reliable.
He/she will have at his/her disposal our newly built Datalab infrastructure, hosted into AWS with native scalable capacity (Kubernetes, PySpark? ) to develop his/her potential with challenging use cases requiring massive quantity of valuable data.
Key accountabilities This role is a high profile and exciting opportunity for a motivated and proactive self-starter to be involved in a growing business, and be at the heart of innovation of the data business in the European marketplace.
The role of the Data Engineer is to deliver innovative and/or strategic initiatives for ADS business teams. This includes the following responsibilities:
Exploring new ideas with the business teams (new product, new possible automation?) and refining them
Studying the feasibility by identifying: the right data sources (internal or external), data processing required and the output format / delivery channels
Designing and developing the optimized data processing flow matching with the required level of scalability and performance
Coordinating with the business teams to follow the different tasks and progress on the various use cases
Writing the associated documentation for the delivered projects
Monitoring the use cases running in production on the production Datalab nodes.
Assuring the quality of the deliverables (peer code review, shared library to mutualize the code...)
Defining good practices on the datalab topics (flow architecture rules, pre-production check list ?) and distributing them inside the Datalab community.
Euronext is looking at the following profile:
Curiosity, willingness to learn
Strong technical skills for data processing with an expertise in pandas and/or Pyspark
Experience to lead design process with business teams, to gather and challenge needs,to define and explain solutions
Ability to quickly master a subject and to be able to challenge business teams on their use cases
Good organizational skills to work on multiple projects/ use cases at the same time
Team player with ability to work effectively in a changing team environment that demands a high degree of cooperation, flexibility and teaming
Excellent people skills and ability to create strong relationships with the different business teams he/she will work with. Good teaching ability to explain technical choices for business people with no IT background
Tactical and operational vision to find the right balance between speed and reliability
Demanding, pragmatic when needed, flexible, adaptable and innovative in response to changing situations and demands
Very strong drive and tenacity to get things done
Demonstrating the highest standards of honesty and ethical behavior
Challenges ideas that he/she believes are incorrect
Education & knowledge
Engineering or development school
Fluent in written and verbal English. Fluency in French is a strong plus
Data oriented development languages (pandas or pyspark)
Experience
3-5 years? experience in one or more of the following: Datalab teams, Commando teams in financial industry, IT (big) data project with a role of development (in pandas or pyspark) data pipelines for production grade usage.
2 years? experience with strong involvement inside (or with) business teams for collecting needs, and requirements and designing data solution to answer them.
Euronext Values
Unity
? We respect and value the people we work with
? We are unified through a common purpose
? We embrace diversity and strive for inclusion
Integrity
? We value transparency, communicate honestly and share information openly
? We act with integrity in everything we do
? We don?t hide our mistakes, and we learn from them
Agility
? We act with a sense of urgency and decisiveness
? We are adaptable, responsive and embrace change
? We take smart risks
Energy
? We are positively driven to make a difference and challenge the status quo
? We focus on and encourage personal leadership
? We motivate each other with our ambition
Accountability
? We deliver maximum value to our customers and stakeholders
? We take ownership and are accountable for the outcome
? We reward and celebrate performance
We remain committed to providing a positive hiring and onboarding experience for our candidates during these unprecedented times. Where our offices can open safely, they will remain open; otherwise our employees are able to work efficiently from home. The well-being of our employees, their families, our external partners and visitors is our upmost priority and we are closely following Government guidance in all our locations to ensure all health and safety guidance are met.
We are proud to be an equal opportunity employer. We do not discriminate against individuals on the basis of race, gender, age, citizenship, religion, sexual orientation, gender identity or expression, disability, or any other legally protected factor. We value the unique talents of all our people, who come from diverse backgrounds with different personal experiences and points of view and we are committed to providing an environment of mutual respect.
Additional Information
This job description is only describing the main activities within a certain role and is not exhaustive. It does not prevent to add more tasks, projects.
Crée en 1978 par Jean AYMAR
Présent en 8 pays
+ 10 0000 Colaborateurs
20 M de CA
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Le Lorem Ipsum est simplement du faux texte employé dans la composition et la mise en page avant impression. Le Lorem Ipsum est le faux texte standard de l'imprimerie depuis les années 1500, quand un imprimeur anonyme assembla ensemble des morceaux de texte pour réaliser un livre spécimen de polices de texte. Il n'a pas fait que survivre cinq siècles, mais s'est aussi adapté à la bureautique informatique, sans que son contenu n'en soit modifié. Il a été popularisé dans les années 1960 grâce à la vente de feuilles Letraset contenant des passages du Lorem Ipsum, et, plus récemment, par son inclusion dans des applications de mise en page de texte, comme Aldus PageMaker.
