Come join us and shape the technological future of Digital Payments You’ll be part of an international agile team that delivers state-of-the-art Digital Solutions to facilitate and enhance payment experience . Data & Analytics represent a strategic and vital function for us and we are looking for a new colleague passionate about extracting, studying and analyzing data from millions of transactions carried out daily through Nexi payment methods .
RESPONSIBILITIES
We are looking for an ambitious young professional who’s willing to join a data driven environment to:
- Industrialize highly scalable data pipelines covering the end to end data lifecycle , from discovery to production
- Collect raw datasets aligned with business needs to develop algorithms capable of transforming such raw data into usable and actionable business intelligence
- Identify new – and innovative – data validation methods and data analysis tools
- Process large-scale multi-structured information (heterogeneous sources, large volume, raw data) and guarantee optimized data sets

REQUIREMENTS




- 3+ years of experience as Data Engineer
- Demonstrated experience in Data pipelining / ETL and Data architectures
- Working knowledge on Python , common Python libraries (e.g. Pandas, Numpy, Tensorflow) and DevOps tools (Git, Kubernetes)
- Working knowledge of cloud and distribute computing with one of the most famous cloud providers (Databricks )
- Knowledge of SQL and NoSQL Database
- Preferred: Proficiency with Apache Spark and Apache Kafka

QUALIFICATIONS
- Bachelor’s in Computer Science , Computer Engineering or equivalent
- Solid communication skills and team-oriented mindset
- Fluency in English, both written and spoken
- Problem solving

Nexi Digital is a Joint Venture between Reply and Nexi Group , two international players devoted to innovation and technology. We are a young and dynamic company born in 2022 with challenging and fascinating objectives, you will join a stimulating environment where to

📌 Lead Data Engineer (Milano)
🏢 Nexi Digital
📍 Milano