1KOMMA5° Data Engineer interview questions & guide 2026

The following questions reflect patterns from recent interview experiences. While they are representative of what you might encounter, use them to understand the depth of technical knowledge and operational mindset expected at 1KOMMA5°.

Technical & Architectural Foundations

These questions test your understanding of large-scale data systems and your ability to design for future growth.

• What are the key considerations when scaling a Data Platform?
• How do you ensure data integrity while managing high-velocity streams?

Preparation at 1KOMMA5° should focus on your ability to articulate the "why" behind your technical decisions. Interviewers are looking for a balance between deep architectural knowledge and a pragmatic approach to day-to-day operations.

Technical Proficiency – You must demonstrate a solid grasp of data engineering principles, specifically regarding scalability. Be prepared to explain the architecture of systems you have built or worked on and why you chose specific components.

Operational Mindset – The team values engineers who can take ownership of tasks from start to finish. You should be ready to discuss your workflow, how you handle production issues, and how you ensure long-term system stability.

Adaptability & Innovation – As the energy sector evolves, so does the tech stack. Showing that you actively use tools like AI to improve your productivity or code quality will set you apart as a forward-thinking candidate.

The interview process at 1KOMMA5° is designed to be efficient, respectful of your time, and focused on both your technical expertise and your cultural alignment with the team. You can generally expect a two-stage process that moves from an initial assessment of your background to a deeper dive into your technical capabilities.

The initial stage is typically a conversation with HR. This is not just a screening, but an opportunity to discuss your career path, your interest in the energy sector, and your expectations for the role. Following this, the technical interview is the core of the assessment, where you will engage with engineers to discuss theory, architecture, and practical problem-solving.

This visual timeline illustrates the typical progression from an HR screen to a technical evaluation. Candidates should use this structure to pace their preparation, ensuring they are ready to discuss both high-level system design and specific hands-on experiences during the technical round.

System Scalability & Architecture

This area is critical because the 1KOMMA5° platform must handle increasing volumes of data from an expanding network of devices. You are evaluated on your ability to design systems that are not only performant now but also maintainable as the company grows.

Be ready to go over:

• Scaling strategies – Discussing vertical vs. horizontal scaling.
• Data lifecycle – How you manage data from ingestion to archival.

As a Data Engineer, your primary responsibility is the development and maintenance of the Data Platform. You will work closely with other engineers to build robust data pipelines that ingest and process telemetry data from various energy assets. This involves ensuring that data is clean, accessible, and available for downstream analytics and product features.

You will often collaborate with cross-functional teams, including backend and product developers, to understand their data requirements. You will not only write code but also contribute to the design of the platform’s architecture, ensuring that the infrastructure can support the company's rapid growth. Proactive monitoring and optimization of existing processes will be a core part of your daily routine.

A strong candidate for this position combines technical depth with a clear passion for the renewable energy transition.

• Must-have skills – Proficiency in modern data engineering stacks, experience with cloud-native infrastructure, and a strong understanding of distributed systems.
• Nice-to-have skills – Experience with IoT data or energy sector telemetry, familiarity with specific cloud providers (AWS, GCP, or Azure), and a track record of contributing to open-source or internal tooling.
• Soft skills – Clear communication, a collaborative attitude, and the ability to explain complex technical concepts to non-technical stakeholders.

Q: How difficult is the interview process? The process is considered to have an average difficulty level. It is rigorous but fair, focusing on practical engineering knowledge rather than abstract puzzles.

Q: How much time should I spend preparing? Give yourself enough time to review your past projects in detail. You should be able to explain the "why" behind your technical decisions from the last 1–2 years.

Q: What differentiates successful candidates? Successful candidates are those who show a genuine interest in the 1KOMMA5° mission and can demonstrate a pragmatic, operational approach to solving technical problems.

Q: Is there a specific emphasis on remote work? The role is listed as home office, so expect to discuss your experience working in distributed teams and how you maintain productivity and communication in a remote setting.

• Own your story: When asked about past operational tasks, use the STAR method (Situation, Task, Action, Result) to keep your answers structured and impactful.
• Show passion for energy: Research the 1KOMMA5° product ecosystem; understanding what the company builds will help you tailor your answers to their specific challenges.
• Be honest about trade-offs: In system design, there is rarely one "perfect" solution. Showing that you understand the trade-offs of your choices is a sign of a senior-level engineer.
• Prepare for the AI question: Have a specific, practical example of how you use AI in your daily workflow, such as for refactoring, documentation, or unit test generation.

The Data Engineer role at 1KOMMA5° offers a unique opportunity to contribute to a critical mission while working on high-scale, impactful data infrastructure. By focusing your preparation on architectural trade-offs, operational experience, and your ability to leverage modern tooling, you will be well-positioned for success. Remember that interviewers are looking for a teammate who is both technically capable and genuinely invested in the company's goals.

You can explore additional interview insights, practice questions, and preparation resources on Dataford to further refine your approach and build your confidence before the big day.

The salary data provided represents the typical range for this position. Interpret these numbers as a benchmark for your level of experience and the market standards in the region, keeping in mind that total compensation may include additional benefits beyond the base salary.