• We need someone that wants to get stuck in and do stuff!
• The role requires knowledge and understanding of some data and technical concepts and tools, but we do not expect candidates to have a lot of professional experience in all these areas
• Proven experience in data engineering and proficient in designing and implementing scalable data architectures
• Strong experience with ETL processes, data modelling, and data warehousing (we use airflow, dbt and redshift)
• Expertise in database technologies, both relational (SQL) and NoSQL
• Knowledge of cloud platforms (AWS)
• Solid understanding of data security measures and compliance standards
• Excellent Python experience
• Collaborative skills to work closely with data scientists and analysts
• Ability to optimize data pipelines for performance and efficiency
• Ability to build, test and maintain tasks and projects
• Experience with version control systems, like Git

Desirable

• We are rapidly expanding our focus on data, both internally and within our products and services
• We are now looking for more help in this area to keep up with the growing demands of a dynamic, data driven organisation
• This role will enable you get hands on experience in multiple areas, making it an amazing opportunity to learn very quickly
• Develop, maintain, and optimise ETL processes for data extraction, transformation, and loading
• Create and manage data models and data warehousing solutions
• Write and maintain structured queries as well as content scraping projects
• Utilise programming languages like Python, SQL for data processing tasks
• Enablement of integration of apps / services and connecting to internal and third-party APIs
• Collaborate with cross-functional teams to ensure seamless integration of data processes
• Optimise data pipelines for performance and efficiency
• Work closely with data scientists and analysts to support their data needs
• Build pipelines to transform raw, unstructured data into useful information by leveraging AI and LLMs