📍 Job Overview

Job Title: Senior Data Platform Engineer (Remote)
Company: Crystal Intelligence
Location: Prague, Czech Republic
Job Type: Full-Time, Remote
Category: Backend Developer, DevOps Engineer
Date Posted: 2025-05-27
Experience Level: 10+ years
Remote Status: Remote (Europe)

🚀 Role Summary

📝 Enhancement Note: This role involves integrating blockchain technologies and data pipelines, requiring a strong backend engineer with a focus on data processing and a willingness to learn about blockchain technologies.
Lead the development and maintenance of Crystal's data collection and processing framework to integrate new chains.
Collaborate with the Blockchain team to integrate blockchains, Automated Market Maker (AMM) protocols, and bridges within Crystal's platform.
Participate in end-to-end feature designing, implementation, and delivery, ensuring continuous improvement and innovation.

💻 Primary Responsibilities

📝 Enhancement Note: The role requires a mix of backend development, data pipeline management, and blockchain integration skills.
API Development & Integration:
- Develop and maintain backend services and APIs using Python and API frameworks like Flask or FastAPI.
- Integrate new technologies into Crystal's processes and tools.
Data Pipeline Management:
- Actively participate in the development and maintenance of data pipelines and backend services.
- Ensure data quality, reliability, and timely processing.
Blockchain Integration:
- Integrate blockchains, AMM protocols, and bridges within Crystal's platform.
- Stay up-to-date with blockchain technologies and adapt to new developments.
Code Review & Collaboration:
- Provide code review, assistance, and feedback for other team members.
- Foster a collaborative work environment and share knowledge with the team.

🎓 Skills & Qualifications

Education:

📝 Enhancement Note: A Bachelor's degree in Computer Science, Engineering, or a related field is typically required for this role.
Bachelor's degree in Computer Science, Engineering, or a related field.

Experience:

📝 Enhancement Note: Candidates should have over 8 years of experience in developing Python backend services and APIs.
8+ years of experience developing Python backend services and APIs.

Required Skills:

Python & API Frameworks:
- Proven expertise in Python and API frameworks such as Flask or FastAPI.
- Strong knowledge of Python's POSIX/Unix/Linux ecosystem.
SQL & Data Warehousing:
- Advanced knowledge of SQL, with the ability to write, understand, and debug complex queries.
- Familiarity with data warehousing and database basic architecture principles.
Docker & PostgreSQL:
- Experience with Docker containers and proven ability to migrate existing services.
- Experience with PostgreSQL database systems.
Unit Testing & Blockchain:
- Knowledge of unit testing principles.
- Knowledge about blockchain technologies or willingness to learn.
Independent & Team-Oriented:
- Independent and autonomous way of working.
- Team-oriented work and good communication skills.

Preferred Skills:

Big Data & Infrastructure as Code:
- Practical experience in big data and frameworks – Kafka, Spark, Flink, Data Lakes, and Analytical Databases such as ClickHouse.
- Knowledge of Kubernetes and Infrastructure as Code – Terraform and Ansible.
Java & Distributed Systems:
- Experience with Java or willingness to learn.
- Experience with distributed systems and open-source solutions.
Passion for Blockchain:
- Passion for Bitcoin and Blockchain technologies.

📊 Web Portfolio & Project Requirements

Portfolio Essentials:

📝 Enhancement Note: A strong portfolio showcasing backend development projects, data pipeline management, and any experience with blockchain technologies is crucial for this role.
Highlight your experience with Python, API development, and data processing in your portfolio.
Include examples of your work integrating new technologies and managing data pipelines.
Demonstrate your ability to collaborate with teams and provide code reviews.

Technical Documentation:

📝 Enhancement Note: Include technical documentation showcasing your understanding of data warehousing principles, SQL queries, and any experience with blockchain technologies.
Document your approach to unit testing, debugging, and code optimization.
Explain your experience with Docker and any other relevant technologies.
Describe your problem-solving methods and how you approach integrating new technologies.

💵 Compensation & Benefits

Salary Range:

📝 Enhancement Note: Based on market research, the estimated salary range for a Senior Data Platform Engineer in Prague is approximately 150,000 - 200,000 CZK per month (gross). This range takes into account the candidate's experience level and the role's requirements.
📝 Enhancement Note: The provided salary range is an estimate and should be verified with the hiring organization.
150,000 - 200,000 CZK per month (gross)

Benefits:

📝 Enhancement Note: Benefits information was not provided in the original job listing. It is recommended to research Crystal Intelligence's benefits package or inquire about it during the application process.
To be determined based on research or inquiry with the hiring organization.

Working Hours:

40 hours per week, with flexibility for project deadlines and maintenance windows.

🎯 Team & Company Context

🏢 Company Culture

Industry:

Crystal Intelligence operates in the blockchain and cryptocurrency industry, focusing on data collection, processing, and analysis for blockchain networks.

Company Size:

Crystal Intelligence is a growing company, allowing for significant influence and growth opportunities for the right candidate.

Founded:

Crystal Intelligence was founded in 2017, with a mission to provide real-time, accurate, and reliable data for blockchain networks.

Team Structure:

The Blockchain team consists of experienced engineers, data scientists, and researchers, working collaboratively to develop and maintain Crystal's data collection and processing framework.

Development Methodology:

Crystal Intelligence employs Agile methodologies, with a focus on continuous improvement, innovation, and customer satisfaction.

Company Website: crystalintelligence.com

📈 Career & Growth Analysis

Web Technology Career Level:

This role is at the senior level, requiring a high degree of technical expertise, leadership, and mentoring skills.

Reporting Structure:

The Senior Data Platform Engineer will report directly to the Blockchain Team Lead and collaborate with other teams, such as Data Science and Research.

Technical Impact:

The role involves significant technical influence, as the Senior Data Platform Engineer will lead the development and maintenance of Crystal's data collection and processing framework.

Growth Opportunities:

📝 Enhancement Note: With Crystal Intelligence's growth and expanding product offerings, there are ample opportunities for career progression, technical skill development, and leadership roles.
Technical Growth: Expand your expertise in blockchain technologies, big data, and infrastructure as code.
Leadership Development: Grow into a technical leadership role, mentoring junior engineers and driving team-wide initiatives.
Architecture Decisions: Influence the architecture and design of Crystal's data processing framework, ensuring scalability, performance, and reliability.

🌐 Work Environment

Office Type:

Crystal Intelligence operates a remote-first work environment, with team members located across Europe.

Office Location(s):

The company's headquarters are in Prague, Czech Republic, but the role is open to remote candidates based in Europe.

Workspace Context:

📝 Enhancement Note: As a remote-first company, Crystal Intelligence values asynchronous communication, clear documentation, and regular team check-ins to foster a collaborative work environment.
Remote Work: Crystal Intelligence offers a flexible, remote work environment, allowing employees to balance their personal and professional lives.
Collaboration Tools: The company uses collaboration tools such as Slack, GitHub, and Jira to facilitate communication, code reviews, and project management.
Work-Life Balance: Crystal Intelligence encourages a healthy work-life balance, with flexible working hours and a focus on results rather than face time.

Work Schedule:

📝 Enhancement Note: The work schedule is flexible, with a focus on delivering results and maintaining open lines of communication with the team.
Core Hours: Employees are expected to be available during core hours, typically between 10:00 and 16:00 CET, to facilitate team communication and collaboration.
Flexible Hours: Outside of core hours, employees are free to manage their time as needed to complete their work and maintain a healthy work-life balance.

📄 Application & Technical Interview Process

Interview Process:

📝 Enhancement Note: The interview process is designed to assess the candidate's technical skills, problem-solving abilities, and cultural fit within the Crystal Intelligence team.
Screening Call (30 minutes): A brief call to discuss the candidate's background, motivations, and expectations for the role.
Technical Deep Dive (60 minutes): A detailed discussion of the candidate's technical skills, experience, and approach to data processing, API development, and blockchain integration.
Team Fit & Culture (30 minutes): An open conversation with team members to assess the candidate's communication skills, team fit, and cultural alignment with Crystal Intelligence's values.
Final Decision (TBD): A decision will be made based on the candidate's performance throughout the interview process and their potential fit within the team.

Portfolio Review Tips:

📝 Enhancement Note: A strong portfolio showcasing relevant projects, data pipeline management, and blockchain integration experience is crucial for this role.
Project Case Studies: Highlight your experience with Python, API development, and data processing in your portfolio.
Code Quality: Demonstrate your ability to write clean, efficient, and well-documented code.
Problem-Solving: Showcase your problem-solving skills and how you approach integrating new technologies and managing data pipelines.

Technical Challenge Preparation:

📝 Enhancement Note: The technical challenge will focus on assessing the candidate's data processing, API development, and problem-solving skills.
Data Pipeline Challenge: Develop a data pipeline using Python and relevant libraries to process and analyze a given dataset.
API Development Challenge: Design and implement an API using Flask or FastAPI to expose the data pipeline's functionality.
Problem-Solving Challenge: Solve a complex problem related to data processing, API development, or blockchain integration, demonstrating your ability to think critically and find innovative solutions.

ATS Keywords:

📝 Enhancement Note: Include relevant keywords throughout your resume and portfolio to optimize your application for Applicant Tracking Systems (ATS).
Programming Languages: Python, SQL, Java
Web Frameworks: Flask, FastAPI
Databases: PostgreSQL, ClickHouse
Big Data: Kafka, Spark, Flink, Data Lakes
Infrastructure as Code: Terraform, Ansible, Kubernetes
Blockchain: Bitcoin, Blockchain, Smart Contracts, AMM
Soft Skills: Problem-solving, Teamwork, Communication, Leadership

🛠 Technology Stack & Web Infrastructure

Backend & Server Technologies:

Python: Python is the primary programming language used for backend services and APIs at Crystal Intelligence.
API Frameworks: Flask and FastAPI are used for developing APIs, enabling efficient and scalable backend services.
SQL: Crystal Intelligence uses SQL for data storage, processing, and analysis, with a focus on advanced querying and optimization techniques.
PostgreSQL: PostgreSQL is the primary database system used at Crystal Intelligence, providing robust and reliable data storage for the company's data processing framework.

Data Processing & Pipeline Tools:

Big Data: Crystal Intelligence uses big data tools such as Kafka, Spark, Flink, and Data Lakes to process and analyze large datasets efficiently.
Analytical Databases: ClickHouse is used for analytical queries and real-time data processing, enabling Crystal Intelligence to extract insights from its data collection and processing framework.

Infrastructure as Code:

Terraform: Terraform is used for infrastructure as code, enabling automated deployment and management of Crystal Intelligence's infrastructure.
Ansible: Ansible is used for configuration management, ensuring consistent and reliable infrastructure across Crystal Intelligence's environments.
Kubernetes: Kubernetes is used for container orchestration, enabling Crystal Intelligence to manage and scale its applications efficiently.

👥 Team Culture & Values

Web Development Values:

📝 Enhancement Note: Crystal Intelligence values innovation, collaboration, and continuous learning, with a strong emphasis on data-driven decision-making and customer satisfaction.
Innovation: Crystal Intelligence encourages its team members to explore new technologies, tools, and approaches to drive innovation and improvement.
Collaboration: Crystal Intelligence fosters a collaborative work environment, with regular team check-ins, code reviews, and knowledge-sharing sessions.
Data-Driven: Crystal Intelligence emphasizes data-driven decision-making, with a focus on extracting insights from its data collection and processing framework to improve its products and services.

Collaboration Style:

📝 Enhancement Note: Crystal Intelligence employs a remote-first, asynchronous collaboration style, with a focus on clear communication, documentation, and regular team check-ins.
Asynchronous Communication: Crystal Intelligence values asynchronous communication, enabling team members to work independently and collaborate effectively, regardless of time zones.
Clear Documentation: Crystal Intelligence emphasizes clear and concise documentation, ensuring that knowledge is shared effectively and efficiently across the team.
Regular Team Check-ins: Crystal Intelligence schedules regular team check-ins to discuss progress, address any challenges, and maintain open lines of communication.

⚡ Challenges & Growth Opportunities

Technical Challenges:

📝 Enhancement Note: The role presents several technical challenges, requiring the candidate to integrate new technologies, manage data pipelines, and stay up-to-date with blockchain developments.
Blockchain Integration: Integrate new blockchains, AMM protocols, and bridges within Crystal's platform, requiring a strong understanding of blockchain technologies and their underlying principles.
Data Pipeline Management: Develop and maintain data pipelines and backend services, ensuring data quality, reliability, and timely processing.
Emerging Technologies: Stay up-to-date with emerging technologies in the blockchain and data processing domains, and adapt Crystal's framework to incorporate new tools and approaches.

Learning & Development Opportunities:

📝 Enhancement Note: Crystal Intelligence offers numerous learning and development opportunities, enabling team members to expand their technical skills and advance their careers.
Technical Skill Development: Expand your expertise in Python, SQL, big data, and infrastructure as code, with opportunities to learn new tools and technologies as they emerge.
Conference Attendance: Crystal Intelligence encourages team members to attend industry conferences and events, providing opportunities to network with peers, learn from experts, and stay up-to-date with the latest developments in the blockchain and data processing domains.
Technical Mentorship: Crystal Intelligence offers technical mentorship programs, enabling team members to learn from experienced engineers and grow their skills and careers.

💡 Interview Preparation

Technical Questions:

📝 Enhancement Note: Technical interview questions will focus on the candidate's data processing, API development, and problem-solving skills, as well as their understanding of blockchain technologies.
Data Processing & SQL:
- Explain your approach to data processing, with a focus on efficiency, reliability, and scalability.
- Describe your experience with SQL and how you approach complex queries and data optimization.
API Development & Python:
- Discuss your experience with Python and API development, with a focus on Flask or FastAPI.
- Explain your approach to designing and implementing APIs, with a focus on performance, security, and scalability.
Blockchain & Problem-Solving:
- Describe your understanding of blockchain technologies and their underlying principles.
- Present a complex problem related to data processing, API development, or blockchain integration, and explain your approach to solving it.

Company & Culture Questions:

📝 Enhancement Note: Company and culture interview questions will focus on the candidate's communication skills, team fit, and cultural alignment with Crystal Intelligence's values.
Communication Skills:
- Explain your approach to communication, with a focus on clarity, conciseness, and active listening.
- Describe your experience working in a remote, asynchronous collaboration environment, and how you maintain open lines of communication with your team.
Team Fit & Culture:
- Explain how your personal values and workstyle align with Crystal Intelligence's company culture and team dynamics.
- Describe your experience working in a collaborative, data-driven environment, and how you contribute to a positive and productive team culture.

Portfolio Presentation Strategy:

📝 Enhancement Note: A strong portfolio presentation strategy is crucial for showcasing the candidate's technical skills, problem-solving abilities, and cultural fit within the Crystal Intelligence team.
Live Demonstration: Prepare a live demonstration of your portfolio, highlighting your experience with Python, API development, data processing, and blockchain integration.
Code Walkthrough: Prepare a detailed code walkthrough, explaining your approach to designing, implementing, and optimizing your portfolio projects.
Problem-Solving Demonstration: Prepare a demonstration of your problem-solving skills, explaining how you approach complex challenges and find innovative solutions.

📌 Application Steps

To apply for this Senior Data Platform Engineer (Remote) position:

📝 Enhancement Note: Follow these concrete preparation steps to optimize your application, resume, and interview performance.
Application Link: Submit your application through the application link provided in the job listing.
Portfolio Customization: Customize your portfolio to highlight your experience with Python, API development, data processing, and blockchain integration, with a focus on responsive design and performance optimization.
Resume Optimization: Optimize your resume for web technology roles, with a focus on project highlighting, technical skills emphasis, and relevant keywords for Applicant Tracking Systems (ATS).
Technical Interview Preparation: Prepare for the technical interview by reviewing the technology stack, practicing coding challenges, and brushing up on your blockchain knowledge.
Company Research: Research Crystal Intelligence's company culture, team dynamics, and data processing framework, with a focus on extracting insights from the company's data collection and processing framework to improve its products and services.

⚠️ Important Notice: This enhanced job description includes AI-generated insights and web development industry-standard assumptions. All details should be verified directly with the hiring organization before making application decisions.

Senior Data Platform Engineer (Remote)