Big Data Engineer (121015)

What will you do?

As a BigData Engineer you will design, develop and maintain data pipelines and anomaly detection models which process huge volumes of trading and trade related data; be instrumental in 

providing technical direction to leverage the most relevant technologies for the different business use cases. Work towards adapting of the most optimal technologies as well as improving the adoption of the latest technologies across engineering teams; Driving Quality: implementing processes and procedures to maximize the overall quality of software; develop an understanding of evolving regulatory frameworks & leverage cutting edge technologies to manage firm regulatory and reputational risk; develop and drive the institutionalization of best practices around coding, testing – scalability, stability and quality, code reviews and operational readiness across the teams.

Your skills:

• MBA or Bachelor/ Master's degree in Computer Science, Computer Engineering, or a similar field of study.


• 4+ years’ experience in software development


• Experience in developing and designing end-to-end solutions to enterprise standards including automated testing and SDLC.


• Ability (and tenacity) to clearly express ideas and arguments in meetings and on paper.


• Experience with one or more of ; Java, Spark, Hadoop, Flink, MapReduce, HBase, JSON, Protobuf, Presto, Elastic Search, Kafka, Kubernetes


• Expertise in Java or any other Object-Oriented Language, as well as proficiency with databases and data manipulation


• Data analysis using tools such as SQL, Spark SQL, Zeppelin/Jupyter

We offer you:

• Working in a highly experienced and dedicated team


• Competitive salary and extra benefit package that can be tailored to your personal needs (private medical coverage, sport & recreation package, lunch subsidy, life insurance, etc.)


• Permanent or B2B contract


• On-line training and certifications fit for career path


• Free on-line foreign languages lessons


• Regular social events 


• Access to e-learning platform


• Ergonomic and functional working space with 2 monitors