Zürich
2 years ago
Data-Engineer: understanding this data occupation
- 08 January 2024
- 100%
- Permanent position
- Zürich
Job summary
Join Societe Generale as a Data Engineer, driving Big Data solutions. Enjoy a dynamic work environment with opportunities for growth.
Tasks
- Devise solutions to collect and organize large volumes of data.
- Participate in complex data analysis from diverse sources.
- Conduct technology monitoring and attend international conferences.
Skills
- Experience in data engineering, analytics, or related fields.
- Proficiency in data management tools and techniques.
- Strong analytical skills and a curiosity for innovation.
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About the job
Contenu
DATA ENGINEERMeeting Group business lines’ Big Data needs
Your responsibilities
- To devise solutions to collect, organise and synthesise large volumes of data
- To take part in the complex analysis of data coming from different sources
- To conduct technology monitoring enabling new features and new tools to be tested, to attend various international conferences (Flink Forward, Spark Summit, etc.).
- To document your work
- To use data responsibly and ethically
HIGHLIGHTS OF THE JOB
Hello everyone, my name is Sébastien, I am a Distinguished Engineer on data and artificial intelligence at Societe Generale since 2021, which I joined after spending about ten years in a large tech company to set myself a new challenge.
If I had to summarize in one sentence: my job is to guide strategic decisions in terms of technology and innovation. Of course, on a daily basis, it's a little more diverse and no two days are the same. Nevertheless, there are still three main pillars.
Firstly, it means defining and implementing the technical strategy of the Group's data and AI platforms, whether in terms of technologies, products, innovation and construction methods.
Secondly, it's managing projects at the cutting edge of innovation, such as, for example, the implementation of the Societe Generale Group's generative AI platform.
And thirdly, I participate in the acculturation of business lines to explain how the data and AI can improve their daily lives.
In my opinion, there are two key skills. The first is curiosity, because we are in a world where technology is fast-moving and very innovative.
The second is daring, because you also have to be able of thinking outside the box to create conditions for change and apply innovation on a daily basis.
Since a few years now, I have been coaching and mentoring of young technical talent, whether they are developers or data scientists.
I'm always very proud when I see them develop and fulfill their potential within the Group.
My team is international, based mainly in France and India.
In this context, it's extremely important to me to have an atmosphere where everyone feels free to express their opinions and ideas.
I also attach great importance to autonomy and initiative, because we are working in a field where innovation is key and so we have to give everyone the opportunity to be independent and to take his own initiatives.
When I arrived in the Group, what surprised me the most, it was both the appetite for technological innovation, while operating in a highly regulated sector so I was very pleasantly surprised to see how the Group managed to resolve this apparent contradiction to create innovations that are both responsible, but which also comply with the regulations in force.
If I had to summarize in one sentence: my job is to guide strategic decisions in terms of technology and innovation. Of course, on a daily basis, it's a little more diverse and no two days are the same. Nevertheless, there are still three main pillars.
Firstly, it means defining and implementing the technical strategy of the Group's data and AI platforms, whether in terms of technologies, products, innovation and construction methods.
Secondly, it's managing projects at the cutting edge of innovation, such as, for example, the implementation of the Societe Generale Group's generative AI platform.
And thirdly, I participate in the acculturation of business lines to explain how the data and AI can improve their daily lives.
In my opinion, there are two key skills. The first is curiosity, because we are in a world where technology is fast-moving and very innovative.
The second is daring, because you also have to be able of thinking outside the box to create conditions for change and apply innovation on a daily basis.
Since a few years now, I have been coaching and mentoring of young technical talent, whether they are developers or data scientists.
I'm always very proud when I see them develop and fulfill their potential within the Group.
My team is international, based mainly in France and India.
In this context, it's extremely important to me to have an atmosphere where everyone feels free to express their opinions and ideas.
I also attach great importance to autonomy and initiative, because we are working in a field where innovation is key and so we have to give everyone the opportunity to be independent and to take his own initiatives.
When I arrived in the Group, what surprised me the most, it was both the appetite for technological innovation, while operating in a highly regulated sector so I was very pleasantly surprised to see how the Group managed to resolve this apparent contradiction to create innovations that are both responsible, but which also comply with the regulations in force.
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