
Data Engineer/Analyst - Graduate Development Program
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Job description
About the Position
Data Engineer/Analyst - Graduate Development Program
ION Group – Data Science & Analytics
Locations: Trento / Milan / Pisa
Employment Type: Full-time
Work Location Type: Hybrid
About ION
We are a Software Product Company 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 learning objectives. Tasks evolve 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.
Responsibilities
Across phases, you will become the owner of full data transformation and reporting pipelines, working at the intersection of business processes and technology. Your work will include:
- 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 as a single source of 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 and maintaining operational data pipelines end-to-end
Requirements
- 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 to relocate; non-EU candidates must hold a valid EU work permit
Nice to Have
- Power BI
- Databricks or Apache Spark
- DBMS / NoSQL
- Scala
- Postegres / Esatic
We Offer
Gross Salary Range: 33.000 - 38.000 EUR
Pursuant to Italian Law (L.68/99), candidates registered on the disability list will be given priority. Only candidates meeting the selection criteria will be contacted. Please apply only if you currently hold full legal right to work in Italy.
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
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Based in the UAE with the R&D operations centered in Warsaw, ION is at the forefront of revolutionizing electric vehicle (EV) charging infrastructure. We are dedicated to developing a robust Charging as a Service (CaaS) solution, designed to streamline and enhance the charging experience for EV owners. Our CaaS platform aims to provide seamless access to a wide network of charging stations, integrating advanced technology to ensure efficient operations and real-time data management. This platform not only facilitates easier management for charge point operators but also enhances user experience with features like quick charge station locating, real-time availability status, and simplified payment options. Through our innovative approach, ION supports the broader adoption of electric vehicles by making charging more accessible and convenient, contributing significantly to the region’s environmental sustainability goals.
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