Bloomreach11.03.26
AI SCORE 8.5

Remote Senior Python Software Engineer - AI & Analytics Focus

$48K/year

About the Role

We are looking for a Remote Senior Python Software Engineer to join our innovative team at Bloomreach. In this role, you will be pivotal in building and maintaining our advanced analytics platform, which is designed to revolutionize how businesses connect with their customers through AI-driven personalization. As a Remote Senior Python Software Engineer, you will work closely with our Analytics team to develop backend systems that handle large volumes of customer data, ensuring high performance and reliability.

What You'll Do

  • Design, develop, and maintain Python backend services that power our analytics platform.
  • Own and evolve multi-cloud export pipelines integrating with AWS S3, Google Cloud Storage, Azure Blob Storage, and SFTP.
  • Implement features such as data expiration and analytics CRUD for reports, segmentations, and funnels.
  • Focus on resilience, observability, and performance in all backend systems.
  • Collaborate with cross-functional teams to enhance product features and improve user experience.

Requirements

  • 5+ years of experience in Python software development, particularly in backend systems.
  • Strong understanding of distributed systems and cloud technologies.
  • Experience with multi-cloud environments and data export pipelines.
  • Proficient in designing resilient and performant backend services.
  • Ability to work remotely within the Central European Time Zone (CET).

Nice to Have

  • Experience with AI and machine learning concepts.
  • Familiarity with analytics platforms and data visualization tools.
  • Knowledge of additional programming languages or frameworks.

What We Offer

  • Competitive salary starting from €4,000 gross/month, depending on your experience.
  • Fully remote work with flexible hours.
  • Opportunities for professional growth and development.
  • Collaborative and innovative work environment.
  • Engagement with over 1,400 global brands, enhancing your career portfolio.
Language Requirements
EnglishC1
BasicIntermediateAdvancedNative
Why This Job8.5 of 10

Bloomreach offers an exciting opportunity for a Remote Senior Python Software Engineer to work on innovative AI-driven analytics. Enjoy competitive pay and a flexible work environment.

Salary Range
Required
0/1
Optional
0/1
Bonus
0/1

Who Will Succeed Here

Proficient in Python with hands-on experience in building scalable distributed systems, utilizing frameworks like Flask or Django and libraries such as Pandas and NumPy for data analytics.

Adaptable and self-motivated, thriving in a remote work environment where effective time management and proactive communication are essential for collaboration across diverse teams.

Strong background in cloud platforms, specifically AWS and Google Cloud, with experience in deploying machine learning models and data pipelines, demonstrating a mindset geared towards continuous learning and innovation in AI technologies.

Learning Resources

Python for Data Science and Machine Learning Bootcampcourse

Career Path

Remote Senior Python Software Engineer - AI & Analytics Focus(Now)Lead Python Software Engineer(1-2 years)Engineering Manager - AI & Analytics(3-5 years)

Market Overview

Python Market Size 2024
$15B
Annual Growth
12.5%
AI Adoption in Python
65%
Investment in AI & Analytics
+40%
Labour Demand for Python Engineers
+25%
Avg Salary for Senior Python Engineers
$130K

Skills & Requirements

Required
PythonAWSGoogle Cloud
Growing in Demand
Machine LearningData EngineeringCloud Architecture
Declining
PerlRuby on Rails

Domain Trends

Increased Adoption of AI in Enterprises
Over 60% of organizations are now integrating AI into their operations, leading to a surge in demand for Python developers skilled in AI and analytics.
Shift to Cloud-Native Architectures
About 70% of companies are migrating to cloud-native platforms, increasing the need for Python developers with expertise in AWS, Google Cloud, and Azure.
Growing Importance of Data Privacy
With 85% of consumers concerned about data privacy, companies are prioritizing secure data analytics solutions, creating opportunities for Python engineers with a focus on secure coding practices.

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