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Enterprise · Software Engineer Interview Guide

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Interview language: Italian

How to Pass the Eni Software Engineer Interview in 2026

The Eni DNA (TL;DR)

Eni values candidates demonstrating strong technical acumen, practical problem-solving capabilities, and a commitment to safety and operational excellence. They seek individuals who can collaborate effectively and align with their strategic focus on energy transition and sustainability.

The Eni Interview Loop

Your onsite loop will typically consist of 5 rounds.

  1. 1

    Round 1

    Recruiter Screen
    Motivation, role fit, logistics.
  2. 2

    Round 2

    Coding Screen
    LeetCode-medium algorithmic problems under time pressure.
  3. 3

    Round 3

    System Design
    Distributed systems, trade-offs at scale, architecture under constraints.
  4. 4

    Round 4

    Onsite Coding
    LeetCode-hard, debugging, code clarity, edge cases.
  5. 5

    Round 5

    Behavioral / Leadership
    Past 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:

  • Not reflecting on what they could have done differently.
  • Focusing solely on personal career growth without mentioning contribution.
  • Not considering the streaming nature of the data and proposing an offline batch solution.
  • Ignoring memory constraints and suggesting algorithms that require loading all data.

Test Yourself: Real Eni Questions

Three real prompts pulled from our database.

Type · Influence

Describe a time you had to influence a stakeholder or team who initially disagreed with your proposed supply chain solution. How did you approach it, and what was the outcome?

Type · algorithm

Develop a function to estimate the total CO2 emissions from a fleet of Eni's vehicles based on their routes and fuel consumption data. The function should be optimized for speed, as it will be called frequently.

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?

+ many more questions, signals, and worked examples

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Eni Interview Question Bank

A sample from our database, grouped by round. Sign up to see the full set.

9 of 18 questions shown

1

Recruiter Screen

1
  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?
2

Coding Screen

3
  1. 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.
  2. 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.
  3. + 1 more questions in this round (sign up to unlock)
3

System Design

4
  1. 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.
  2. 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.
  3. + 2 more questions in this round (sign up to unlock)
4

Onsite Coding

4
  1. 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.
  2. 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].
  3. + 2 more questions in this round (sign up to unlock)
5

Behavioral / Leadership

6
  1. 8

    Type · conflict-resolution

    Tell me about a time you had a significant technical disagreement with a colleague or manager. How did you approach the situation, and what was the outcome?
  2. 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?
  3. + 4 more questions in this round (sign up to unlock)

Unlock all 18 Eni questions, free

No credit card. Every question with its framework, the grading signals interviewers score against, and a worked answer for each.

Unlock all 18 Eni questions

Interview tracks at Eni

How Eni's DNA translates across functions. Pick your role.

Compare Eni with similar employers

Same DNA, different bar. Browse the closest companies in our database and see how their loops differ.

Practice Eni interviews end-to-end

Sample answers

What a strong answer to these Eni interview questions shows.

Describe a time you had to influence a stakeholder or team who initially disagreed with your proposed supply chain solution. How did you approach it, and what was the outcome?

A strong answer shows: Persuasion and negotiation skills.; Ability to build relationships and trust.; Understanding of different perspectives.; Focus on collaborative problem-solving..

Develop a function to estimate the total CO2 emissions from a fleet of Eni's vehicles based on their routes and fuel consumption data. The function should be optimized for speed, as it will be called frequently.

A strong answer shows: Focus on performance optimization.; Efficient data handling and calculation.; Robustness to data quality issues.; Clear logic for emission calculation..

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