Data Engineer

Are you passionate about data and eager to advance your career in a dynamic environment? Join our client as a Data Engineer and drive the growth and efficiency of the Data Warehouse and Data Pipelines alongside a talented team.

Why This Role Stands Out:

• Professional Growth: Gain hands-on experience in data modelling and technical problem-solving.
• Innovative Environment: Engage in cutting-edge data integration projects.
• Supportive Team: Work within a collaborative and creative team.
• Impactful Work: Enhance the company data processes and infrastructure capabilities.

Key Responsibilities:

• Data Stack Monitoring: Ensure seamless data operations.
• Data Modelling: Design and modify data models using dbt Core and VS Code.
• Data Source Integration: Integrate new data sources into the Data Pipeline and Data Warehouse.

Essential Skills and Experience:

• SQL: Proficiency in PostgreSQL or Snowflake SQL.
• dbt Experience: Preferably with dbt Core.
• Business Process Modelling: Using SQL in dbt.
• Version Control: Familiarity with Git.
• Cloud Data Warehouse: Understanding concepts and design.
• API Knowledge: Proficiency with SOAP, REST APIs, JSON, and YAML.
• Basic Python: For data retrieval and manipulation.

Desirable Attributes:

• Problem-Solving: Logical approach to technical challenges.
• Collaborative Spirit: Enjoy working in a team and independently.
• Relationship Building: Foster strong business relationships.
• Positive Attitude: Enthusiastic about learning.
• Attention to Detail: Meticulous approach.

Preferred Experience (Not Required):

• CI/CD: Familiarity with Bitbucket Pipelines.
• Snowflake, Fivetran, AWS S3, and Lambda: Experience is advantageous.

This role is perfect for a motivated individual looking to impact and grow within a forward-thinking company. If you have a passion for data and a drive to excel, this could be the ideal next step in your career.