Full-Time Senior Data Engineer

Essential Duties and Responsibilities: 

Including, but are not limited to:  

• Design, develop, and maintain high-quality, secure data pipelines and processes to manage and transform data efficiently. 
• Lead the architecture and implementation of data models, schemas, and integrations that support business intelligence and reporting needs. 
• Collaborate with cross-functional teams to understand data requirements and deliver optimal data solutions that align with business goals. 
• Maintain and enhance data infrastructure, including data warehouses, lakes, and integration tools. 
• Provide guidance on best practices for data management, security, and compliance. 
• Support Power BI and other visualization tools, ensuring consistent and reliable access to data insights. 
• Oversee the delivery of data initiatives, ensuring they meet project milestones, KPIs, and deadlines. 

Education and Training Required: 

• Bachelor’s degree in Computer Science, Data Science, or a related field, or equivalent experience.  

Minimum Experience: 

• 5+ years of experience in data engineering or related fields.  
• 2+ years of experience with Power BI or similar data visualization tools.  

Knowledge and Skills: 

• Proficiency with data engineering tools and technologies (e.g., SQL, Python, ETL tools).  
• Strong experience with Power BI for data visualization and reporting.  
• Familiarity with cloud-based data platforms (e.g., AWS, Azure, Google Cloud).  
• Experience with data modelling, data warehousing, and designing scalable data architectures.  
• Strong knowledge of database systems (e.g., SQL Server, Oracle, PostgreSQL).  
• Experience working in an Agile development environment.  
• Excellent communication skills to work effectively with both technical and non-technical stakeholders.  
• Ability to multi-task and manage multiple projects simultaneously.  
• Problem-solving mindset with a desire to continuously improve data processes.