
Data Engineering Manager
- London
- Permanent
- Full-time
- Lead the support and management of our Solutions team, providing strategic direction and remit for the team.
- Design, develop, and uphold data integration processes, including the creation and execution of scalable and effective data pipelines for managing and transforming large datasets.
- Identify and implement improvements, working with the business to ensure they are deployed and working correctly.
- Provide line management and mentorship to data engineers, supporting their development and skill-building; to ensure they become self-sufficient.
- Help lead the technical aspects of our data engineering strategy, ensuring alignment with organisational goals and objectives.
- Ensure team evolves with new technologies and development in the industry to keep our tech stack up to date.
- Bachelor's degree in computer science or a related field, or equivalent experience.
- 5 years plus of experience in core data engineering architecture and technologies.
- Experience in developing and data manipulation in Python.
- Experience in Azure data services (e.g., SQL, Data Factory, Data Lake, Databricks)
- Experience of CI\CD Processes.
- High level of experience in using and designing data structures within Databricks.
- Ability to create and troubleshoot SQL queries and stored procedures.
- Proven experience in designing and implementing data pipelines, ETL processes.
- Knowledge of data integration, data modelling concepts, and familiarity with cloud data platforms and storage technologies, ideally within Azure.
- Strong problem-solving skills and attention to detail. Strong communication and collaboration skills.
- Ability to prioritize and manage multiple tasks effectively.
- Line Management
- Flexible working environment
- Volunteer time off
- LinkedIn Learning
- Employee-Assistance-Program (EAP)