Type · motivation

Enterprise · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in ItalyInterview language: Italian
How to Pass the Eni Software Engineer Interview in 2026
The Eni DNA (TL;DR)
The Eni Interview Loop
Your onsite loop will typically consist of 5 rounds.
- 1
Round 1
Recruiter ScreenMotivation, role fit, logistics. - 2
Round 2
Coding ScreenLeetCode-medium algorithmic problems under time pressure. - 3
Round 3
System DesignDistributed systems, trade-offs at scale, architecture under constraints. - 4
Round 4
Onsite CodingLeetCode-hard, debugging, code clarity, edge cases. - 5
Round 5
Behavioral / LeadershipPast evidence of ownership, influence, resolving conflict.
The Danger Zone: Top Reasons Candidates Fail
Based on our database of Eni interview outcomes, avoid these common traps:
- Failing to account for truck capacity, delivery time windows, and driver constraints.
- Not considering the streaming nature of the data and proposing an offline batch solution.
- Designing a system with high latency for event detection or notification.
- Introducing new bugs while trying to fix the existing ones.
Test Yourself: Real Eni Questions
Three real prompts pulled from our database.
Type · learning
Type · ownership
+ many more questions, signals, and worked examples
Sign up to unlock the full Eni grading rubric
Eni Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 15 questions shown
Recruiter Screen
1- 1
Type · motivation
What interests you about working at Eni, specifically within our energy sector, and how do you see your software engineering skills contributing to our mission?
Coding Screen
3- 2
Type · algorithm
Given a stream of sensor readings from offshore oil platforms, design an algorithm to detect anomalies that could indicate equipment failure. The readings have timestamps and various numerical values (e.g., pressure, temperature, vibration). Assume you have limited memory. - 3
Type · data-structure
Eni operates a large network of gas pipelines. You need to efficiently find the shortest path for gas flow between any two points in the network, considering varying flow rates and potential bottlenecks. Model this network and implement a pathfinding algorithm. - + 1 more questions in this round (sign up to unlock)
System Design
4- 4
Type · distributed-system
Design a system to monitor and predict energy demand across different regions in Italy, integrating data from smart meters, weather forecasts, and historical consumption patterns. The system needs to be highly available and scalable. - 5
Type · distributed-system
Design a real-time alerting system for Eni's renewable energy assets (e.g., wind farms, solar plants). The system should ingest data from numerous sensors, detect critical events (e.g., equipment malfunction, suboptimal performance), and notify relevant personnel immediately. - + 2 more questions in this round (sign up to unlock)
Onsite Coding
4- 6
Type · algorithm
Implement a function that takes a list of historical energy prices and predicts the price for the next day using a simple moving average (SMA) and exponential moving average (EMA). Handle edge cases like insufficient data points. - 7
Type · debugging
Here is a Python script intended to calculate the carbon footprint of a specific Eni project based on its energy consumption data. It's producing incorrect results for some inputs. Debug and fix the script. [Provide a code snippet with subtle bugs, e.g., off-by-one errors, incorrect unit conversions, flawed logic in conditional statements]. - + 2 more questions in this round (sign up to unlock)
Behavioral / Leadership
3- 8
Type · conflict-resolution
Eni prioritizes both rapid digital transformation and strict operational safety standards. Describe a situation where your proposed software architecture or feature implementation clashed with the requirements of our site-based safety or legacy hardware teams. How did you negotiate a technical path forward that satisfied both the need for innovation and the non-negotiable safety constraints of the facility? - 9
Type · ownership
Describe a complex technical challenge you faced on a project related to energy infrastructure or operations. What steps did you take to own the problem and ensure its successful resolution? - + 1 more questions in this round (sign up to unlock)
Unlock all 15 Eni questions, free
No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.
Interview tracks at Eni
How Eni's DNA translates across functions. Pick your role.
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Practice Eni interviews end-to-end
Eni Mock Interview
Run a live mock interview with our AI interviewer using Eni-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Eni Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Eni interviewers grade on. Reuse them across every behavioral round.
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Eni Interview Prep Hub
The frameworks behind every Eni round: CIRCLES for product sense, hypothesis-driven debugging for analytical, STAR for behavioral. Learn each one in 10 minutes.
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Interview Frameworks
CIRCLES, STAR, AARRR, RICE, MECE. The exact frameworks that make Eni interviewers nod instead of frown. Step-by-step playbooks with the moves and the pitfalls.
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Sample answers
What a strong answer to these Eni interview questions shows.
What interests you about working at Eni, specifically within our energy sector, and how do you see your software engineering skills contributing to our mission?
A strong answer shows: Genuine interest in the energy sector.; Understanding of Eni's business.; Ability to articulate technical contributions..
Eni is aggressively shifting its energy portfolio toward biofuels and circular economy models. Tell me about a specific project where you had to integrate a new data source or domain-specific metric into your codebase that was fundamentally different from your previous experience. How did you ensure the accuracy and reliability of your software when dealing with these unfamiliar environmental or production variables?
A strong answer shows: Depth of technical curiosity; Rigorous approach to data validation; Adaptability to new business domains.