How long does the Eni interview process take?

Most candidates spend between 4 and 8 weeks from recruiter screen to offer. The onsite loop itself runs in a single day or is split across two half-days, with debrief and offer typically within 5 business days after.

How should I prepare specifically for Eni?

Focus on three things: (1) the company DNA shown above - what they actually grade for, (2) the rounds in your loop, especially the round most candidates underestimate, and (3) drilling on the question types in this guide using a structured framework like CIRCLES or STAR.

Does this apply to engineering or design roles at Eni?

The DNA stays the same - what changes is the round mix. SWE candidates face coding screens instead of Product Sense; designers face portfolio reviews and design exercises. The "what they value" and behavioral signals carry across all functions.

Other roles at Eni:Software Engineer Supply Chain Strategy Consultant

Enterprise · Software Engineer Interview Guide

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
Round 1
Recruiter Screen
Motivation, role fit, logistics.
2
Round 2
Coding Screen
LeetCode-medium algorithmic problems under time pressure.
3
Round 3
System Design
Distributed systems, trade-offs at scale, architecture under constraints.
4
Round 4
Onsite Coding
LeetCode-hard, debugging, code clarity, edge cases.
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

Unlock the rubric

Eni Interview Question Bank

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

9 of 18 questions shown

Recruiter Screen

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

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
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

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

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?
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?
+ 4 more questions in this round (sign up to unlock)