Senior Data Engineer

Agilis are currently working exclusively with a key client who are a leading technology consultancy in their search for a Senior Data Engineer. This is a fantastic opportunity to join a fast growing, forward thinking company and helping them take their Data engineering to the next level! Job Description: We are seeking a highly skilled and motivated Data Engineer to join a dynamic team. The ideal candidate will have a strong background in SQL, Python, ETL processes, and data integration, ideally in Databricks. You will play a crucial role in continuing an exciting project designing, developing, and maintaining data infrastructure to ensure the seamless inflow, data sanitation/consolidation and automated report production for clients. Key Responsibilities: Design and Development: Design, develop, and maintain scalable ETL pipelines to process and integrate data from various sources. Implement data validation routines to ensure data quality and integrity. Develop and optimize SQL queries for data extraction, transformation, and loading. Strategic Solution Design: Data Integration: Integrate data from multiple sources, including APIs & relational databases. Collaborate with cross-functional teams to gather and understand data requirements. Database Management: Design and maintain relational database schemas to support business needs. Ensure efficient storage, retrieval, and management of large datasets. API Management: Develop and maintain APIs for data access and integration. Utilize tools like Postman for API testing and documentation. A good understanding of working with APIs: Ensure robust and efficient API integration and management. Data bricks Management: Manage permissions and access controls within Databricks to ensure data security and compliance Data Analytics and Reporting: Work with data analysts to provide clean and well-structured data for analysis. Develop and maintain documentation for data processes and workflows. Develop and maintain automatic report production to ensure seamless delivery of critical data Collaboration and Communication: Collaborate with colleagues to gather requirements and translate them into technical specifications. Communicate effectively with team members to ensure alignment on data initiatives Qualifications: Bachelor's degree or equivalent experience in Computer Science, Information Technology, or a related field. Proven experience as a Data Engineer or in a similar role. Strong proficiency in SQL or Python or ideally both. Experience with ETL processes and tools. Knowledge of data validation routines and data integration techniques. Familiarity with relational database design and management. Experience with API development and testing using tools like Postman. Experience of Databricks or similar data platforms desirable Excellent problem-solving skills and attention to detail. Strong communication and collaboration skills. for more information please apply using the link or get in touch with Edd @ Agilis Recruitment