Senior Data Engineer

Overview

We are seeking an experienced Data Engineer (Python Enterprise Developer) to design, develop, and optimize data-driven solutions within enterprise environments. The ideal candidate will have deep expertise in Python programming, strong SQL skills, and hands-on experience with modern data platforms and cloud technologies.

Key Responsibilities:

• Develop, test, and deploy scalable data engineering solutions using Python.
• Build and maintain data pipelines leveraging libraries such as NumPy, pandas, BeautifulSoup, Selenium, pdfplumber, and Requests.
• Write and optimize complex SQL queries and manage databases including PostgreSQL.
• Integrate and automate workflows using DevOps tools (e.g., CI/CD, Jenkins, Git).
• Collaborate on cloud-based data initiatives using AWS (S3) and Azure Databricks.
• Contribute to Agile/Scrum development processes and ensure timely delivery of project milestones.
• Work closely with cross-functional teams across multiple locations and time zones.
• Mentor team members and foster a positive, results-driven work environment.

Qualifications:

• 8+ years of professional experience in Python development and scripting.
• Proven ability to design and implement data solutions within enterprise environments.
• Strong problem-solving, communication, and leadership skills.
• Familiarity with modern data engineering best practices and tools.

If you believe this job description aligns with you - or someone who you know is qualified - please attach your most updated CV/resume with a good phone number attached. Ideally, you can also send your CV with a good phone number to .

My colleague can send you a call and give you all the parameters in-length.

Best regards,

Brian Scott