Data Engineer
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Job Description
Data Engineer building scalable cloud data pipelines and AI solutions for Bull’s enterprise clients. Transforming diverse datasets using Python, SQL, and modern cloud platforms.
Responsibilities:
- Transform raw data into valuable insights
- Design and optimize data pipelines
- Tackle complex data problems
- Build scalable, production-grade data systems
- Work on AI-powered solutions across banking, insurance, manufacturing, pharmaceuticals, and e-commerce
- Collaborate in small, focused teams of 2–5 people using agile workflows
- Collaborate with engineers, analysts, scientists, and product managers
- Work with diverse customer data sources, including call center logs, customer segmentation data, IoT sensors, and web analytics
Requirements:
- Proficiency in Python and SQL
- Experience with cloud platforms such as Azure, AWS, or GCP is an advantage
- Interest in building and maintaining data pipelines
- Interest in working with large datasets
- Collaborative mindset and desire to learn from and contribute to a skilled team
- Must be legally authorized to travel and work across the EU as required for client engagements
Benefits:
- Remote work options
- Full-time and part-time options available
- Flexible working
- Supportive team culture
- Collaborative environment where learning and professional growth are a priority
- Chance to work on exciting, AI-powered solutions that make a real difference
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