Data Engineer
Genève, Switzerland
Talan
Nous croyons que seule une pratique humaniste de la technologie fera du nouvel âge numérique une ère de progrès pour tous. Engageons-nous ensembleCompany Description
Passionate about digtal, data, IoT or AI and willing to join a dynamic and ambitious team on a human scale?
For more than 20 years, we have been advising companies and administrations and supporting them in the implementation of their transformation projects in France and abroad.
To do so, we rely both on technological leverage and on the strength of our DNA based on collective intelligence, agility and entrepreneurial spirit.
With a presence on five continents and more than 4,000 employees, our goal is to reach more than a €1 billion revenue by 2024. Innovation is at the heart of our development and we are involved in areas linked to the technological changes of major groups, such as Big Data, IoT, Blockchain and Artificial Intelligence.
Our values & playfields:
- Intelligence collective
- Agility
- Entrepreneurship /Intrapreneurship
- Promote diversity/mixity (Support to the Fondation femmes@Numerique...)
- Commitment (employees, partners, schools, associations...)
- Respect for human beings and quality of life at work
- Open-mindedness and inclusiveness
Together, let’s build Talan’s future:
Present in Switzerland (Geneva & Lausanne), Talan Switzerland now has nearly 130 employees. Initially focuse in the financial sector, Talan has developed in recent years in the watchmaking, insurance, media and services sectors.
Job Description
The candidate should be an acknowledged technical expert with a good understanding of business processes and should be able to drive junior developers to respect standards and best practices already in place.
Responsibilities
- Develop, deploy, and maintain data flows.
- Provide and contribute to documentation required for all phases of implementation
- Establish strong relationships with business contacts
- Provide awareness training and support key users during troubleshooting session
- Improve standards and best practices already in place
- Mentor engineers based in nearshore.
Qualifications
- Master’s degree in Computer Science.
- 10+ years of experience.
- 5+ years of experience on MS Biztalk Server, architecture, and development
- 5+ years of experience on ETL MS SSIS / SQL, architecture, and development
- Experience with Team Foundation Server and GIT.
- Experienced with Agile methodologies (SCRUM, SAFE).
- Experience in humanitarian organization.
- Good knowledge of French and English (written and spoken).
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Agile Architecture Big Data Blockchain Computer Science ETL Git Scrum SQL SSIS
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