Join Us: Data Engineering to unlock value from Data
Pubblicato il 15-10-2026 - Target Reply in Milano
Target Reply's main goal: get value from data.
How? Leveraging on capabilities of our excellent employees, therefore on your capabilities
Working in Target Reply means sitting at tier-one customers tables across several industries, playing a first level game bringing skills, value and capabilities on the most innovative data topics.
Cloud-Native solutions, Real-time architectures, Artificial Intelligence, Machine Learning: that ‘are our bread and butter.
We are looking for a Data Engineer (or wanna be) that will work on the collecting, storing, processing and analysing of huge sets of data.
The primary focus will be on implementing optimal solutions according to data platform capabilities and customers' guidelines.
Are you ready for joining us?
What will your daily "backlog" probably include?
- Design and implementation of data pipelines within big data frameworks (from data ingestion to data consumption)
- Work with both on-premise big-data environments and Cloud-based applications
- Setup CI/CD and automated deployment pipelines ensuring application delivery standards
Bachelor's or Master’s Degree ranging from Engineering/Computer Science, Statistics, Mathematics, or other data-centric disciplines is mandatory (not for the Internship).
Knowledge required (or alternately, desire to learn):
- Cloudera and all the main technologies involved (HDFS, Spark, Hive)
- At least one of the following languages: Scala, Python, Java
- Big Data applications: Spark (preferred), Kafka, Flink
- Cloud Platforms (at least one among AWS, Azure, GCP)
- Atlassian suite: Confluence, Jira, Bamboo, BitBucket
It's requested the ability to work within a group of resources, open and proactive mind-set.
Good English, both for writing and speaking, is a must.
If you've come to read this far, it means that you are the person that we are looking for
Reply is committed to embracing diversity and creating an inclusive work environment by valuing the uniqueness of people regardless of a