Are you a problem solver and a fast learner? Would you enjoy working in a fast-paced, entrepreneurial environment? Do you want to be part of a diverse and driven team striving for excellence? If the answer is yes, then keep reading!
Who We Are:
Atheneum is a global platform revolutionizing market research and knowledge sharing across the business community. Our mission is to accelerate the decision-making of our clients by connecting them to the world’s top professionals and industry leaders. We deliver interactions that generate intelligent insights and creative ideas ensuring our clients can drive their business forward efficiently.
Founded in 2010, Atheneum currently employs 350+ professionals in 11 global offices and is rapidly growing as one of the world’s leading global insight platforms to strategy consulting firms, investment houses and global corporations.
Our Opportunity:
We are seeking a forward-thinking, proactive Data Engineer to join our rapidly growing, innovative Tech Team. We are actively looking for a candidate who can combine excellent technical skills with advanced soft skills such as communication and an ability to work effectively in a team.
Responsibilities:
- As a Data Engineer, you’ll be working on a modern platform, rapidly developing. You will contribute to the ongoing evolution of the platform by keeping up to date with modern technologies, using engineering best practices
- Use analytical and statistical rigor to solve complex problems and drive business decisions
- Write high integrity code to retrieve and analyze data from the database table, learn and understand a broad range of data resources and know-how, when, and which to use and which not to use
- Explore new datasets and onboard them
- Set up mechanisms to proactively measure the quality of outputs
- Create and maintain key program reports
Job requirements
Profiles We Are Seeking:
- Atheneum strongly believes in the power of diversity. We are seeking target driven team players with excellent emotional intelligence, problem solving and time management skills.
- 2+ years experience in a Data Engineer role
- Advanced SQL knowledge and experience with a variety of relational databases, particularly data warehouse engines like Redshift
- Experience building and optimizing big data pipelines, architectures and ETLs
- A successful history of manipulating, processing and extracting value from large disconnected datasets
- Experience with AWS cloud services: Redshift, RDS, EC2, EMR
- Experience with modern programming languages – our language of choice is Javascript, but others commonly used in data manipulation are also useful, like Python
What We Offer:
- Public transportation discount
- Partially refunded lunches
- Urban Sports Club discount
- German classes