Data Engineer/Data Scientist

About the job

Project Description: We are seeking a Python Developer with strong expertise in Java and SQL to design, develop, and maintain scalable software solutions within a cloud-enabled environment. The role involves working on high-impact applications, supporting CI/CD pipelines, and leveraging Azure cloud for deployment and management. You will play a key role in architecture discussions, mentoring juniors, and ensuring high-quality software delivery within an Agile/Scrum setup. Responsibilities: A highly skilled and motivated Data Engineer/Data Scientist with extensive experience in Python, pandas, SQL, and data analysis. Adept mapping data into a new data model, with tested code. Thrives in independent work environments, with a proven ability to deep dive into complex datasets and deliver impactful results. Requirements: Over 5 years of experience as a Data Engineer. Proven experience bridging business needs and technical development, translating requirements into actionable solutions. Previous background in Technical Business Analysis is preferred and is a strong advantage. Expertise in Python (pandas), SQL, and Excel for exploratory analysis, reporting, and process optimization. Skilled in back-testing and validating solutions to ensure audit compliance and operational readiness. Proficient in mapping data into new data models with robust, tested code. Strong communication skills with the ability to produce clear documentation and stakeholder-facing presentations. Technical Skills: • Programming: Python, pandas, NumPy, SQL • Data Management: PostgreSQL, SQLite, CSV • Testing: Unit Testing, Integration Testing, CI/CD Pipelines • Tools: Git, Jupyter Notebooks

Requirements

• Python
• SQL
• pandas
• data analysis
• Agile

Preferred Technologies

• Python
• SQL
• pandas
• data analysis
• Agile

About the company

Luxoft is a global leader in digital strategy and technology consulting, focusing on delivering innovative solutions to various sectors.