Data Pipeline Engineer

Job Description

Join our dynamic team in Manchester as a Data Pipeline Engineer. You will be tasked with implementing robust data pipelines that support reporting and analytics initiatives, thereby turning raw data into actionable insights while optimising performance across the board.

Responsibilities

• Develop ETL processes to automate data movement across platforms.
• Ensure data compliance and security standards are adhered to.
• Work with machine learning teams to provide required data sets.
• Identify process bottlenecks and improve existing data workflows.
• Provide training on new data tools to the team.
• Create and manage data monitoring dashboards.
• Participate in code reviews and team meetings.

Requirements

Education

• Bachelor's degree in Computer Science, Data Science, or similar
• Master's degree preferred

Experience

• 3+ years of data engineering experience with a focus on pipelines

Technical Skills

• ETL Tools
• GraphQL

Soft Skills

• Team player
• Time management

Certifications

• Google Cloud Professional Data Engineer
• Certified Data Professional

Languages

• English: Fluent

Advantageous

• Experience with Docker: Proficient in containerization using Docker for deployment.
• Familiarity with Data Lakes: Hands-on experience with Data Lakes architecture and tools.

Benefits

• Comprehensive health, dental, and vision coverage
• Flexible working conditions
• Generous pension plan with employer contributions
• Ongoing training and career advancement support

Company Culture

• Continuous Learning: We support continuous learning through workshops, seminars, and online courses.
• Work-Life Balance: We promote a healthy work-life balance to ensure our team members thrive.
• Community Engagement: We encourage our employees to engage with the community through volunteering and outreach programs.