Type · scalability
Galp is expanding its renewable energy portfolio. How would you design a system to manage and forecast the energy output from a large number of wind farms, considering variable weather conditions and grid constraints?
How to Pass the Galp Software Engineer Interview in 2026
The Galp DNA (TL;DR)
Galp's "Sobre Nosotros Qu" vision underpins the interview process, seeking candidates who practically contribute to energy innovation. The loop grades for concrete examples of optimizing operations, particularly in Movilidad El, and navigating industry shifts. Interviewers look for specific instances of impact.
The Galp 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 Galp interview outcomes, avoid these common traps:
- Describing a trivial problem or a problem that was easily solved by others.
- Proposing a solution that doesn't scale to potentially thousands of wind turbines.
- Not handling missing or duplicate readings efficiently.
- Underestimating the scale and latency requirements for real-time data.
Get the full Galp playbook, free
Every round, the exact grading rubric interviewers score against, all the questions, and unlimited mock-interview practice. Free account, no credit card.
Test Yourself: Real Galp Questions
Three real prompts pulled from our database.
Type · debugging
You are given a piece of code that is supposed to calculate the carbon footprint of a fleet of electric vehicles based on their charging patterns and electricity source. The code is producing incorrect results. Debug and fix the code.
Type · Conflict Resolution
Describe a situation where you had a significant disagreement with a colleague or manager regarding a sales strategy or approach. How did you handle it, and what was the resolution?
+ many more questions, signals, and worked examples
Sign up to unlock the full Galp grading rubric
Galp Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 15 questions shown
1
Recruiter Screen
1- 1
Type · motivation
What interests you specifically about working in the energy sector at Galp, and how do you see your software engineering skills contributing to our mission of energy transition?
2
Coding Screen
3- 2
Type · algorithmic
Given a list of energy consumption readings from various smart meters in a city over a day, write a function to find the top K most energy-intensive hours, considering that readings might be missing or duplicated. - 3
Type · algorithmic
Design a system to predict the peak demand for electricity in a region based on historical data, weather forecasts, and special events (e.g., holidays, major sporting events). Implement a function that calculates the predicted demand for a given time. - + 1 more questions in this round (sign up to unlock)
3
System Design
3- 4
Type · architecture
Design a real-time monitoring system for Galp's distributed solar power generation assets. The system should handle data from thousands of solar panels, detect anomalies, and alert operators. - 5
Type · architecture
Design a data pipeline to process and analyze sensor data from electric vehicle charging stations to optimize charging schedules and identify potential maintenance issues. - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
3- 6
Type · algorithmic
Implement a function to simulate the flow of natural gas through a network of pipelines. The function should calculate pressure drops and flow rates, considering different pipe diameters, lengths, and gas properties. Optimize for performance when simulating large networks. - 7
Type · code-quality
Refactor the following Python code, which calculates the optimal placement of charging stations for electric vehicles in a city, to improve its readability, maintainability, and testability. Add comprehensive unit tests. - + 1 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
5- 8
Type · problem-solving
Tell me about a time you encountered a particularly challenging technical problem in a past project. What was the problem, how did you approach it, and what was the outcome? - 9
Type · collaboration
Describe a situation where you had a technical disagreement with a colleague or team lead. How did you handle the discussion, and what was the resolution? - + 3 more questions in this round (sign up to unlock)
Unlock all 15 Galp 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 Galp
How Galp's DNA translates across functions. Pick your role.
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Practice Galp interviews end-to-end
Galp Mock Interview
Run a live mock interview with our AI interviewer using Galp-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Galp Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Galp interviewers grade on. Reuse them across every behavioral round.
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Galp Interview Prep Hub
The frameworks behind every Galp 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 Galp 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 Galp interview questions shows.
Galp is expanding its renewable energy portfolio. How would you design a system to manage and forecast the energy output from a large number of wind farms, considering variable weather conditions and grid constraints?
A strong answer shows: Addresses data ingestion from diverse sources (weather, turbine sensors).; Proposes a scalable architecture for processing and storing large datasets.; Includes a robust forecasting model and considers grid integration.; Discusses fault tolerance and reliability..
You are given a piece of code that is supposed to calculate the carbon footprint of a fleet of electric vehicles based on their charging patterns and electricity source. The code is producing incorrect results. Debug and fix the code.
A strong answer shows: Systematic debugging process (e.g., using print statements, debugger).; Correctly identifies and fixes the bug.; Explains the reasoning behind the fix..
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