Data Engineer/Analyst
Pubblicato il 03-10-2026 - Ion in Trento
About ION
We are a SoftwareProductCompany with a global footprint in the FinTech sector. With more than 10,000 professionals across 40+ offices worldwide, we provide solutions combining trading and workflow automation, market data, and advanced business intelligence.
Our Graduate Development Program is a three-year journey designed for recent graduates who look beyond the obvious, challenge existing processes, and are driven to automate and reinvent the way things work.
The program is structured into 4 progressive phases, each with distinct learningobjectives. Tasksevolve according to your abilities and interests, ensuring the experience is as individual as you are.
From day one, you join ION on a full‑time permanent contract, carry real accountability on live projects, and be paired with senior professionals who guide your development throughout the entire journey.
What You’ll Do
- Interacting with business and process owners to understand data sources, reconstruct their semantics, and assess their value
- Performing exploratory data analysis, reverse engineering,
and building multidimensional BI models asa single sourceof truth
- Automating data extraction, cleaning, transformation, enrichment, and standardization to feed central Data Hubs
- Implementing automated reporting across multiple channels — Power BI dashboards, programmatic PowerPoint generation, and custom web UIs
- Managing andmaintainingoperational data pipelines end-to-end
What We’re Looking For
- Master’s degree in a STEM discipline — obtained within the last year or currently in progress, with a strong academic record
- Solid command of Python and SQL for data analysis; familiarity with statistical concepts and time series analysis is a plus
- Strong communicator, collaborative by nature, and fluent in both English(B2+)and Italian
- Based in Italy or willing torelocate; non-EU candidates must hold a valid EU work permit
Nice to have:
Power BI, Databricks or Apache Spark, DBMS / NoSQL, Scala, Post