Type · algorithmic-problem
Given a list of energy consumption timestamps and associated values for a building, write a function to identify the longest continuous period where the energy consumption remained above a specific threshold.
How to Pass the Deepki Software Engineer Interview in 2026
Growth · Software Engineer Interview Guide
Sign up to see ATSHeadquartered in FranceInterview language: English
The Deepki DNA (TL;DR)
Deepki Ready software engineers and consultants must demonstrate domain precision around commercial real estate carbon accounting. Evaluators watch for candidates who name specific trade-offs when integrating non-standard ESG data sources and handling SFDR regulatory compliance rules.
The Deepki 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 problems, reasoning about defects, 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 Deepki interview outcomes, avoid these common traps:
- Focusing only on the climate mission without acknowledging the specific engineering difficulty of the data.
- Proposing to simply increase the container memory limit without fixing the underlying algorithmic inefficiency
- Failing to address how to handle schema evolution as new device types are added
- Fixing the bug silently without informing the stakeholders who relied on the report
Test Yourself: Real Deepki Questions
Three real prompts pulled from our database.
Type · architecture
Design a system to ingest and normalize energy consumption data from thousands of disparate IoT devices and manual utility reports with varying formats.
Type · debugging
Root Cause Analysis (Issue Tree + 5 Whys)You are debugging a service that calculates carbon footprint scores. The scores are intermittently correct but occasionally fluctuate wildly due to floating-point errors during aggregation of millions of small consumption events. How do you identify and fix this?
+ many more questions, signals, and worked examples
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Deepki Interview Question Bank
A sample from our database, grouped by round. Sign up to see the full set.
9 of 11 questions shown
1
Recruiter Screen
2- 1
Type · motivation
Given Deepki's mission to accelerate the energy transition for real estate assets, what specific technical challenges in data ingestion or processing at scale interest you most? - 2
Type · motivation
Deepki operates at the intersection of climate tech and real estate analytics. Why is the engineering challenge of processing massive, non-standardized building energy datasets more compelling to you than a traditional data-heavy SaaS role?
2
Coding Screen
1- 3
Type · algorithmic-problem
Given a list of energy consumption timestamps and associated values for a building, write a function to identify the longest continuous period where the energy consumption remained above a specific threshold.
3
System Design
3- 4
Type · architecture
Design a system to ingest and normalize energy consumption data from thousands of disparate IoT devices and manual utility reports with varying formats. - 5
Type · architecture
How would you design a caching strategy for a dashboard that displays real-time energy usage trends across a portfolio of 50,000 buildings? - + 1 more questions in this round (sign up to unlock)
4
Onsite Coding
3- 6
Type · debugging
Root Cause Analysis (Issue Tree + 5 Whys)A data pipeline is failing because of intermittent 'out of memory' errors during the aggregation of yearly energy reports for large portfolios. How do you identify the root cause and refactor the processing logic? - 7
Type · debugging
Root Cause Analysis (Issue Tree + 5 Whys)You are debugging a service that calculates carbon footprint scores. The scores are intermittently correct but occasionally fluctuate wildly due to floating-point errors during aggregation of millions of small consumption events. How do you identify and fix this? - + 1 more questions in this round (sign up to unlock)
5
Behavioral / Leadership
2- 8
Type · ownership
STARTell me about a time you identified a flaw in a data processing pipeline that was causing inaccurate energy reports for a client. How did you handle the communication and the fix? - 9
Type · conflict
STARDescribe a time you had to balance the need for rapid feature delivery with the technical debt incurred by quick-and-dirty data ingestion scripts. How did you negotiate this with product management?
Unlock all 11 Deepki 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 Deepki
How Deepki's DNA translates across functions. Pick your role.
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Practice Deepki interviews end-to-end
Deepki Mock Interview
Run a live mock interview with our AI interviewer using Deepki-style prompts. Get scored on structure, signal, and answer length - exactly how the real loop grades you.
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STAR Stories for Deepki Behavioral Rounds
Build a Story Bank of your past wins, mapped to the leadership signals Deepki interviewers grade on. Reuse them across every behavioral round.
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Deepki Interview Prep Hub
The frameworks behind every Deepki 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 Deepki 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 Deepki interview questions shows.
Given a list of energy consumption timestamps and associated values for a building, write a function to identify the longest continuous period where the energy consumption remained above a specific threshold.
A strong answer shows: Efficiency in array manipulation; Handling edge cases in time-series data; Clean and readable logic.
Design a system to ingest and normalize energy consumption data from thousands of disparate IoT devices and manual utility reports with varying formats.
A strong answer shows: Understanding of asynchronous processing and decoupling; Awareness of data normalization challenges in the energy sector.
Frequently asked questions
How long does the Deepki 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 Deepki?
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 Deepki?
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.
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