Beschreibung
We are currently looking for a Data Engineer to work on recognising patterns in sales systems. The aim is to identify conspicuous events that we cannot manually detect in the logs. There should be developed a first PoC with a use case (e.g. credit card fraud). Moreover, new use cases (e.g. voucher fraud, direct debit fraud, account takeover, etc.) are gradually being expanded and existing detection algorithms are being optimized. Unsupervised machine learning should be implemented to identify outliers without knowing the patterns in advance. Further tasks would be the pre-processing of data (train/test/validate), model development (built-in Sagemaker, custom model) and prototyping with AWS.You will be analysing and organizing raw data, while also building data systems and pipelines. You should be able to evaluate business needs and goals, interpret trends and patterns, perform data analysis and generate reports on the results. As a Data Engineer you will prepare the data for modelling, create algorithms and prototypes, and combine raw data from different sources. Additionally, you will be expected to investigate ways to improve data quality and reliability, identify opportunities for data collection, and develop analysis tools and programs.
Project details:
• Starting period: 01.11.2022
• Ending period: 31.12.2022 (Extension)
• Part-time: 5 days/week
• Location: Remote/Frankfurt (10%)
• Languages: German
Experience:
• Data engineering projects (4 years)
• Data models, data mining (at least 4 years)
• Programming
• SQL and Python
• SQL database design
• Good numerical and analytical skills
• University degree in computer science, IT or a similar field; a master's is an advantage
• Certification in Data Engineering/Machine Learning is an advantage
• Scala
• Communication and presentation skills
Are you interested or do you have someone in your network who might be, we will be happy to work together!