Revodata Data Engineer interview questions & guide 2026

The questions below represent the core competencies expected of a Data Platform Engineer. While your specific interview may vary, these patterns reflect the technical rigor and behavioral alignment required at Revodata.

Technical & Platform Engineering

These questions test your hands-on experience with Databricks and cloud infrastructure.

• How would you design a secure, multi-tenant Databricks environment for a client with strict compliance requirements?
• Describe your process for migrating a legacy data platform to a modern Databricks architecture.

Preparation for Revodata should be as structured as the platforms you build. Focus on articulating your "why" behind every architectural decision.

Technical Mastery – You must move beyond surface-level knowledge. Be prepared to explain the "how" and "why" of your IaC choices and security implementations.

Consulting Mindset – You are an advisor. Demonstrate how you balance technical excellence with client needs, budget constraints, and project timelines.

Problem-Solving Approach – Use the STAR method (Situation, Task, Action, Result) to frame your experiences. Focus on the complexity of the "puzzle" and your specific role in solving it.

The hiring process at Revodata is designed to mirror the collaborative, transparent nature of their culture. You can expect a series of conversations that evaluate both your deep technical competency in Data Platform Engineering and your fit within their boutique, high-performance team. The process is rigorous but meant to be a two-way street, allowing you to gauge if their "no-ego" environment is the right fit for your career growth.

This timeline outlines a progression from initial screening to deeper technical assessments. Use this to pace your study of Databricks and IaC best practices, ensuring you are ready to deep-dive into your past projects during the later, more technical stages.

Databricks Architecture & Security

This is the heart of the role. Interviewers look for deep, production-grade experience.

Be ready to go over:

• Workspace Security – Identity management, token handling, and secret scopes.
• Networking – Implementing private connectivity and managing egress/ingress rules.

As a Data Platform Engineer, you are the architect of reliability. Your primary responsibility is the end-to-end design and delivery of Databricks-based Data & AI platforms. You will be expected to:

• Translate client requirements into scalable, secure cloud-native architectures.
• Implement robust IaC patterns that allow for repeatable, automated deployments.
• Mentor team members and contribute to Revodata’s internal library of best practices, templates, and standards.
• Collaborate with ML engineers and data scientists to ensure the platform is not just functional, but optimized for their specific use cases.

A strong candidate for this role possesses a blend of deep technical skill and the adaptability required for consultancy.

• Must-have skills:
  • Extensive experience with Databricks platform engineering.
  • Proficiency in Python and SQL.
  • Solid foundation in IaC tools (specifically Terraform or Terragrunt).
  • Practical knowledge of CI/CD (Azure DevOps or GitHub Actions).
  • Strong grasp of cloud networking and security principles.
• Nice-to-have skills:
  • Current Databricks certifications.
  • Experience with Bicep or dbt.
  • A track record of contributing to open-source or internal technical communities.

Q: Is this role fully remote? A: Revodata operates on a hybrid model, with Wednesdays at their NDSM headquarters in Amsterdam and typically two days at a client site. The rest of the week is flexible.

Q: What is the technical assessment like? A: It is a practical evaluation where you are benchmarked on your platform engineering skills. Focus on best practices, security, and scalability rather than just "getting it to work."

Q: How do salary bands work? A: Revodata is transparent about compensation, with distinct bands for Senior (€65k–€90k) and Principal (€90k–€110k) levels. You will be benchmarked during the process to ensure placement in the correct band.

The salary data provided reflects the total annual compensation bands for the Senior and Principal levels. Candidates should interpret these ranges as a baseline, with final offers determined by the results of the technical assessment and overall depth of experience.

• Show your work: When discussing past projects, be ready to show code samples or architectural diagrams if appropriate.
• Be a consultant: During interviews, treat the interviewer like a client. Ask clarifying questions before jumping to a solution.
• Embrace the "No-Ego" culture: If you don't know an answer, admit it and explain how you would find the information. This is viewed much more favorably than guessing.
• Highlight your "4 projects": The job description specifically mentions experience on at least 4 projects. Prepare to discuss the specific challenges and outcomes of these four instances in detail.

The Data Platform Engineer role at Revodata is an exceptional opportunity to influence the Data & AI landscape across Europe while working within a highly collaborative, boutique team. By focusing your preparation on Databricks architecture, IaC best practices, and your ability to communicate complex technical solutions to clients, you will position yourself as a top-tier candidate.

Your journey to joining Revodata starts with a clear understanding of your own impact and a willingness to solve interesting puzzles. We encourage you to use the insights provided here to structure your study and approach the interview process with confidence. You can find further resources and updates on interview patterns on Dataford as you prepare for your next career chapter.