Principal Python Engineer - Core (Remote)

Position Summary:

We are looking for a talented Principal Python Engineer who will lead the architectural decision-making and strategy for our software products. The successful candidate will be responsible for overall vision, strategy and execution of the company’s Software products. This is a remote role and we are flexible with considering applications from anywhere in Europe.

More details: crystalblockchain.com

Duties and responsibilities:

• Technical Leadership: Provide technical leadership and guidance in Python development, data lake architecture, and big data solutions.
• Software Development: Lead the design, development, and deployment of robust Python-based applications and services, with a focus on efficiency, scalability, and maintainability.
• Data: Design, implement, and optimise data warehouse/datalake solutions, such as SnowFlake or Clickhouse, ensuring seamless integration with existing systems and efficient data processing capabilities.
• Digital Transformation: Drive digital transformation initiatives by re-engineering and improving existing software solutions, leveraging modern technologies and best practices.
• Collaboration: Collaborate with cross-functional teams, including product, sales, security & data intelligence, to identify requirements, define solutions, and deliver value-added services.
• Mentorship & Training: Mentor junior engineers, conduct technical training sessions, and foster a culture of continuous learning and innovation within the engineering team.
• Documentation: Create architecture diagrams and technical documentation.
• Best practices: Ensure architectural integrity in accordance with best practices and software design principles from conception to implementation.
• Strategy: Participate in defining and executing the Company’s vision and strategy in software development.

Qualifications:

• Minimum of 8 years of professional experience in Python development, with a strong focus on big data and data lake solutions.
• Strong knowledge of PostgreSQL and data warehouse solutions such as Clickhouse or SnowFlake.
• Proven track record of leading digital transformation initiatives and re-engineering existing software solutions.
• Proven track record of designing, implementing, and optimising data warehouse and data lake architectures.
• Solid understanding of cloud computing platforms (e.g., AWS, GCP) and related services (e.g., S3, EC2, Redshift, Athena).
• Excellent problem-solving skills, with a keen attention to detail and a passion for delivering high-quality software solutions.
• Strong communication and interpersonal skills, with the ability to collaborate effectively with cross-functional teams and stakeholders.
• Extensive understanding of architectural styles and design patterns.
• Experience with deploying complex applications on cloud platforms using a container orchestration platform, such as Kubernetes.
• Understand the tradeoffs of performance, compute, and memory and simultaneously optimise for all three.
• Track record of working on hard problems including job scheduling, concurrency, and scaling.
• You want to work on building things the “right” way to make sure our technical foundation is solid as we build on top of it over the coming years.
• Business savvy; able to think strategically and make intelligent technical vs business trade-off recommendations.
• Independent and self-driven.

Bonus Points:

• Experience with building and maintaining large scale and/or real-time complex data processing pipelines using Kafka, Hadoop, Hive, Storm, or Zookeeper.
• Prior experience in the compliance sector, particularly within traditional finance or crypto-related environments.
• Experience working in or with analytics-focused companies including familiarity with analytics tools, data visualization techniques, and best practices in data-driven decision-making.
• Contribution to open-source projects and Stackoverflow.
• Familiarity with Blockchain technologies.
• Familiarity with the GoLang and Rust programming languages.
• Familiarity with Infrastructure as a code such as Terraform.
• Familiarity with GraphQL query language.
• Experience with a distributed team / remote work.