What Are We Looking For

MultiplyMii is seeking a talented and motivated Data Engineer to join our client’s dynamic team. As a Data Engineer, you will play a crucial role in designing and implementing data pipelines and systems to connect, process, and analyze data for our analytics and business intelligence initiatives. If you are passionate about leveraging data to drive insights and solutions, and possess the technical expertise to turn complex data challenges into actionable outcomes, we encourage you to apply for this exciting opportunity.

This role is a 100% work from home.

In This Role, You Will

• Implement data pipelines and systems to connect and process data for analytics and BI systems.
• Document systems and source-to-target mappings for transparency and understanding.
• Re-engineer manual data flows to enable scaling and repeatable use, enhancing efficiency.
• Follow and contribute to best practice guidelines, continuously striving for improvement.
• Write clean, secure, and well-tested code to ensure reliability and maintainability.
• Operate the services and pipelines you build, proactively identifying and resolving issues in production.
• Assess and prioritize feature requests based on business needs and technical feasibility.
• Identify opportunities to reuse existing data flows, promoting efficiency and reducing redundancy.
• Collaborate closely with other team members and stakeholders to achieve common goals.
• Implement data quality checks and validation processes to identify and resolve data anomalies.
• Provide support for business intelligence report development, ensuring reusability and efficiency.
  
  

About You

Core qualifications:

• Strong background in Software Engineering with proficiency in Python development (> 3 years experience).
• Excellent problem-solving, communication, and organizational skills.
• Ability to work independently and collaboratively within a team environment.
• Understanding of industry-recognized data modeling patterns and standards and their practical application.
• Familiarity with data security and privacy principles, ensuring compliance with governance and regulatory requirements.
• Proficiency in SQL and experience with relational database management.
• Experience in API implementation and integration, with an understanding of REST principles and best practices.
• Knowledge of validation libraries like Marshmallow or Pydantic.
• Expertise in Pandas or similar libraries for data manipulation and analysis.
• Knowledge of operating systems (Linux) and modern development practices, including infrastructure deployment (DevOps).
• Proficiency in code versioning tools such as Git/GitHub, and experience with CI/CD pipelines (e.g., CircleCI).
  
  

Nice-to-haves

• Experience working with Airflow for workflow orchestration.
• Experience with the GCP stack (e.g., CR, CF, GCS, Secret Manager).
  
  

Why MultiplyMii

MultiplyMii, a premium Recruitment & HR services company is growing FAST and we are currently hiring an exceptional Data Engineer who desires to be part of an exciting organization that rewards and values its team members.

Shift and Schedule: UK Time Zone