Python Engineer

Summary

Join Manychat, a leading Chat Marketing platform, and become a key member of our team developing high-performance Python services for data aggregation and analysis. We are building scalable APIs, optimizing ETL workflows, and creating real-time metrics engines to enhance our platform with AI/ML capabilities. You will collaborate closely with Data Engineering and Product teams to design robust data pipelines and integrate analytics into the user interface. Key responsibilities include designing, developing, and maintaining Python services, building and exposing APIs, optimizing algorithms, and integrating machine learning components. This role requires strong Python development experience, proficiency with data processing libraries, and experience with containerization and orchestration. Manychat offers a supportive and inclusive work environment with various benefits.

Requirements

• 5+ years of professional Python development experience
• Experience with web frameworks (FastAPI)
• Solid SQL skills and experience with databases (Snowflake, Vertica, Clickhouse or similar) and NoSQL stores (Redis)
• Proficiency with data processing libraries: Pandas, NumPy, Dask or similar
• Experience with containerization and orchestration (Docker, Kubernetes)
• Familiarity with DevOps practices and CI/CD pipelines (GitLab CI, GitHub Actions, or similar)
• Basic understanding of machine learning principles and experience deploying ML & LLM models
• Excellent communication skills and experience working in Agile teams

Responsibilities

• Design, develop, and maintain Python services for data aggregation and analysis
• Build and expose APIs or internal components to deliver results to the Product team
• Optimize algorithms for large-scale data processing
• Integrate machine learning and AI components
• Implement monitoring, logging, and alerting for all services
• Collaborate with Data Engineering to align on ETL pipelines and data ingestion processes
• Participate in sprint planning and task estimation alongside the Product team
• Ensure code quality via code reviews, unit and integration tests, and up-to-date documentation

Preferred Qualifications

• Proficiency with cloud platforms and their analytics services (Redshift, BigQuery, Snowflake)
• Background in building recommendation systems or automated analytics dashboards
• Familiarity with MLOps tools (MLflow, Kubeflow, Airflow)

Benefits

• Candidates outside of Amsterdam can start onboarding and complete the probation period remotely with further relocation to the city for a hybrid work format ( with free meals and snacks in the office)
• Relocation support through airplane tickets, accommodations for up to three weeks, and a relocation bonus
• Professional development budget for relevant conference tickets, training programs, or courses
• Flexible benefits plan to choose the perks that fit your needs
• Health insurance, including dentistry, psychology sessions, nutrition consultations, surgery, and travel assistance