- Provide strategic advice on project direction, resource management, and timelines, while assuming responsibility for key data analytics tasks to support internal teams and clients

- Collaborate with leadership to define project scope, approach, and development strategies

- Contributes to Beghous internal data warehouse build

- Demonstrates knowledge of data platform components (warehouse, monitoring, etc.) and data engineering (ETL design, schema design, etc.) and CI/CD best practices

- Analyse data, synthesise findings, and develop actionable insights, communicating results to both internal and external teams

- Independently manage projects, handling client communications, meeting facilitation, and timelines, serving as a primary point of contact with minimal oversight

- Develop and optimise data processes, utilising coding where necessary to facilitate efficient data handling and reporting

- Coordinate with global and diverse teams to ensure seamless project execution

- Engage in business development activities and contribute to internal firm initiatives to drive organisational growth

- Provide mentorship and guidance to junior team members, overseeing their professional development and encouraging continuous improvement and innovation within the team

You'll Need to have :

- Bachelors or advanced degree with 7 to 10 years of professional experience in data engineering using Python, including use of PySpark

- Experience with relational database technologies, such as PostgreSQL, Oracle, MySQL, Snowflake

- Experience working on the Databricks platform

- Experience working with AI tools

- Experience in web application development using Fast API, React JS, CSS/HTML is preferred

- Experience in designing, developing and managing multiple projects in different platforms

- Strong proficiency in Microsoft Office tools (Word, PowerPoint), with advanced expertise in Excel

- Excellent analytical and quantitative skills, with a proven ability to solve complex problems

- Exceptional communication skills, both written and verbal

- Demonstrated organizational, time management, and project management skills, with the ability to lead teams and manage multiple projects simultaneously

- Strong ability to collaborate, adapt quickly, and work effectively in a fast-paced environment

- Familiarity with industry best practices in data analytics within the pharmaceutical sector