Senior Python Engineer

Team: IT

Location: Germany

Commitment: Full-time

Workplace Type: remote

Accountabilities

• Develop and maintain robust Python-based solutions for large-scale data ingestion and backend systems.
• Build, improve, and maintain data collection processes, including web scrapers and automated data pipelines.
• Enhance platform performance, reliability, observability, and overall data quality.
• Conduct technical research and investigations to solve complex engineering challenges.
• Take ownership of architectural and conceptual components, including reliability, quality assurance processes, and automation initiatives.
• Collaborate with engineering teams through code reviews, technical discussions, and cross-functional initiatives.
• Analyze existing systems, reduce technical debt, and improve codebase maintainability.
• Make data-driven technical decisions through exploratory data analysis and evaluation of system performance.
• Contribute to scalable solutions using modern backend technologies, distributed systems, and event-driven architectures.

Requirements

• Strong professional experience developing backend systems with advanced Python and SQL.
• Experience working with large-scale data processing, distributed systems, and high-load environments.
• Knowledge of event-driven architectures and message queue technologies such as RabbitMQ or Kafka.
• Ability to investigate technical challenges, analyze data, and make informed engineering decisions.
• Experience building reliable, maintainable software with a strong focus on quality and scalability.
• Strong ownership mindset with the ability to manage projects independently and deliver impactful solutions.
• Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders.
• Comfortable working in a fast-paced environment with changing priorities and evolving requirements.
• Experience with data products, Big Data environments, BI, analytics, or machine learning teams is considered an advantage.
• Familiarity with technologies such as PostgreSQL, Redis, Puppeteer, Playwright, Selenium, Pandas, NumPy, or Scikit-learn is a plus.

Benefits

• Fully remote position based in Europe.
• Competitive compensation ranging from approximately $5,000 to $6,500 per month, depending on experience.
• Opportunity to work on large-scale data systems supporting global business intelligence products.
• High level of ownership and autonomy within an experienced technology team.
• Exposure to advanced technologies in data engineering, automation, and machine learning.
• Collaborative international environment with opportunities for knowledge sharing and professional growth.
• Opportunity to contribute to impactful products used by leading organizations worldwide.
• Flexible remote working structure with collaboration across European time zones.