Type · algorithmic

How to Pass the Endesa Software Engineer Interview in 2026
The Endesa DNA (TL;DR)
The Endesa Interview Loop
Your onsite loop will typically consist of 4 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 Endesa interview outcomes, avoid these common traps:
- Overlooking the complexity of real-time price fluctuations and grid constraints.
- Ignoring the impact of special events or weather on demand.
- Incorrectly handling edge cases like no readings above the threshold, or readings that start/end exactly at the threshold.
- Not designing for concurrent charging requests and potential conflicts.
Test Yourself: Real Endesa Questions
Three real prompts pulled from our database.
Type · design
Type · debugging
+ many more questions, signals, and worked examples
Sign up to unlock the full Endesa grading rubric
Endesa Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 14 questions shown
Recruiter Screen
1- 1
Type · motivation
What interests you about working at Endesa, specifically within the energy sector, and how do you see your skills contributing to our mission of driving the energy transition?
Coding Screen
3- 2
Type · algorithmic
Given a list of energy consumption readings from smart meters over a day, write a function to identify and return the time intervals (start and end times) where the consumption exceeded a certain threshold, considering consecutive readings that meet the criteria. - 3
Type · algorithmic
You are given a dataset representing energy grid load and renewable energy generation (solar, wind) for different regions. Design an algorithm to find the region with the highest net energy surplus (generation - load) for a given hour, and if there's a tie, prioritize the region with the most diverse renewable sources. - + 1 more questions in this round (sign up to unlock)
System Design
3- 4
Type · design
Design a system to monitor and alert on real-time energy grid stability issues. Consider factors like voltage fluctuations, frequency deviations, and potential overload conditions across a large geographical area. - 5
Type · design
Design a distributed system for managing and optimizing charging schedules for a fleet of electric vehicles (EVs) for commercial use. The system should consider electricity prices, grid load, and vehicle availability. - + 1 more questions in this round (sign up to unlock)
Onsite Coding
4- 6
Type · debugging
A customer reports that their smart thermostat is not correctly adjusting heating based on the predicted occupancy schedule, leading to wasted energy. Here is a simplified code snippet for the thermostat's logic. Debug and fix the issue. - 7
Type · algorithmic
You are building a system to forecast energy demand for a city. Given historical demand data, weather forecasts, and a calendar of special events (e.g., holidays, major sports games), write a function to predict the energy demand for the next 24 hours. Assume you have access to helper functions for parsing weather data and event impact. - + 2 more questions in this round (sign up to unlock)
Behavioral / Leadership
3- 8
Type · ownership
Tell me about a time you encountered a significant technical challenge in a project that was critical for the business. How did you take ownership of the problem, what steps did you take to resolve it, and what was the outcome? - 9
Type · conflict_resolution
In the context of the Endesa Clientes platform, describe a time when you had to reconcile conflicting requirements between the energy grid operations team wanting to limit real-time data polling to ensure stability and the digital product team wanting more frequent customer usage updates. How did you negotiate this trade-off to ensure a seamless user experience without compromising system reliability? - + 1 more questions in this round (sign up to unlock)
Unlock all 14 Endesa 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 Endesa
How Endesa's DNA translates across functions. Pick your role.
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Practice Endesa interviews end-to-end
Endesa Mock Interview
Run a live mock interview with our AI interviewer using Endesa-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Endesa Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Endesa interviewers grade on. Reuse them across every behavioral round.
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Endesa Interview Prep Hub
The frameworks behind every Endesa 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 Endesa 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 Endesa interview questions shows.
Design and implement a data structure that can efficiently store and query historical energy generation data from multiple renewable sources (solar, wind, hydro). The queries should support finding the total generation within a given time range and identifying the source that contributed the most generation during that period.
A strong answer shows: Selects an appropriate data structure for efficient range queries.; Correctly implements methods for total generation and max contributor.; Analyzes the time and space complexity of their solution.; Writes well-structured and tested code..
Design a distributed system for managing and optimizing charging schedules for a fleet of electric vehicles (EVs) for commercial use. The system should consider electricity prices, grid load, and vehicle availability.
A strong answer shows: Addresses data sources (EVs, grid, prices).; Designs an optimization/scheduling component.; Considers concurrency and real-time data.; Discusses system architecture and potential bottlenecks..