Data Engineer

Position Overview:

As a Data Engineer with a focus on NLP, you will play a crucial role in the development of our initial platform. Your primary responsibilities will include designing, implementing, and optimizing data pipelines that support AI-driven call handling solutions. You will work collaboratively with cross-functional teams to enhance our platform's capabilities, ensuring it meets industry standards for performance and security.

Culture Statement:

Culture is the cornerstone of our company. We believe in fostering an environment where accountability, respect, and personal ownership are non-negotiable. We expect every team member to live by our "Above the Line" principles:

• Accountability: See It, Own It, Solve It, Do It. Become part of the solution.

• Respect: Treat others and their feelings with respect.

• Action: Act now! Ask, "What else can I do?"

• Feedback: Seek coaching and strive for continuous improvement.

• Ownership: Take pride in your work and reject mediocrity.

• Empathy: Show genuine care and consideration for others.

You will:

• Develop and maintain scalable data architecture that supports natural language processing tasks.
• Implement data processing workflows to prepare text data for NLP applications, including text extraction, cleaning, and transformation.
• Collaborate with data scientists and software engineers to integrate machine learning models into our platform.
• Utilize AWS tools and services to enhance data management and processing efficiency.
• Contribute to the documentation and technical specifications for the data infrastructure supporting the application.

Key Requirements:

• Proven experience in data engineering, with a strong background in natural language processing.
• Proficiency in programming languages such as Python, SQL, or Java.
• Familiarity with cloud services, particularly AWS.
• Knowledge of machine learning frameworks and libraries.
• Strong problem-solving skills and the ability to work in a fast-paced environment.

Additional Information:

• This is a position based in Manchester, United Kingdom.

• Flexible working hours, with approximately 21 hours per week commitment.

• We are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected.

If you believe you embody our culture and are ready to make a difference in a startup environment, we'd love to hear from you. Apply now and let's build something great together!